The Digital Modernization Sector has an exciting career opportunity for an Kubernetes Engineer Colorado Springs, CO to support the US Space Force’s Space Systems Command (SSC), Operational Command and Control Acquisition Delta, known as Kobayashi Maru. This role is instrumental in the development and deployment of mission critical software for space defense, space domain awareness, and enabling data services. This role Primary Responsibilities: Design, implement, and maintain highly available Kubernetes clusters across cloud and on-prem environments. Automate infrastructure provisioning, monitoring, and scaling using Infrastructure as Code (IaC) and CI/CD pipelines. Develop and manage Helm charts for application deployment and configuration management. Deploy and manage applications on cloud platforms such as Azure, AWS, Google Cloud, and Oracle Cloud Infrastructure (OCI). Monitor and troubleshoot Kubernetes workloads, networking, and persistent storage solutions. Implement Kubernetes security best practices, including RBAC, network policies, and container runtime security. Optimize performance and reliability of containerized applications in distributed systems. Collaborate with development, security, and operations teams to enhance DevOps workflows and cloud-native application delivery. Integrate Kubernetes with service meshes, logging, and observability tools such as Istio, Prometheus, Grafana, and ELK Stack. Participate in system upgrades, disaster recovery planning, and compliance initiatives such as NIST, CIS Benchmarks, and FedRAMP. Mentor junior engineers and contribute to knowledge sharing within the organization. Basic Qualifications: Requires BS and 8+ years of prior relevant experience or Masters with 6+ years of prior relevant experience, additional years of experience will be accepted in lieu of a degree. Minimum 5+ years of experience working with Kubernetes in production environments. Must have a DoD-8570 IAT Level 2 baseline certification (Security+ CE or equivalent) to start and maintain. Must have Certified Kubernetes Application Developer (CKAD), and Azure Certified DevOps Engineer – Professional or equivalent cloud certifications. Strong expertise in Kubernetes administration, troubleshooting, and performance tuning. Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and their Kubernetes services (EKS, AKS, GKE). Proficiency in containerization technologies like Docker and container runtime management. Solid understanding of Infrastructure as Code (Terraform, Ansible, CloudFormation). Experience with CI/CD pipelines using tools like GitLab CI/CD, Jenkins, ArgoCD, or Tekton. Deep knowledge of Kubernetes networking (Calico, Cilium, Istio, or Linkerd) and storage solutions (Ceph, Portworx, Longhorn). Expertise in monitoring and logging with Prometheus, Grafana, ELK, or OpenTelemetry. Strong scripting skills in Bash, Python, or Golang for automation. Familiarity with Kubernetes security best practices, including Pod Security Standards, RBAC, and image scanning tools (Trivy, Aqua, or Falco). Experience with GitOps methodologies (ArgoCD, FluxCD) Knowledge of serverless computing and Kubernetes-based event-driven architectures Familiarity with service meshes and API gateways (Istio, Envoy, Traefik) Hands-on experience with AWS, Azure, or Google Cloud Platform security tools and configurations. Proficiency in cloud security frameworks such as CSA CCM (Cloud Controls Matrix), FedRAMP, or similar. Experience embedding security in CI/CD pipelines using tools like Jenkins, GitLab, or GitHub Actions. Experience with automation tools (e.g., Terraform, Ansible, or CloudFormation) and scripting languages (e.g., Python, PowerShell, or Bash). Extensive experience with containerization and orchestration platforms like Kubernetes. Strong analytical and problem-solving skills with the ability to communicate complex technical concepts to non-technical stakeholders. Knowledge of hybrid cloud networking (e.g., VPNs, ExpressRoute, Direct Connect). Experience with DevSecOps pipelines and integration Experience working in agile development and DevOps-driven environments. US Citizen and Possession of a current Active DoD TS/SCI Clearance Preferred Qualifications Master’s degree in computer science Multi-Cluster & Hybrid Deployments – Experience managing federated or multi-cluster Kubernetes environments across hybrid and multi-cloud architectures. Custom Kubernetes Operators – Developing and maintaining Kubernetes Operators using the Operator SDK (Go, Python, or Ansible). Cluster API (CAPI) Expertise – Experience with Cluster API for managing Kubernetes lifecycle across cloud providers. Advanced Scheduling & Tuning – Custom scheduling, affinity/anti-affinity rules, and performance optimization for workloads. Kubernetes Hardening – Deep knowledge of CIS benchmarks, PodSecurityPolicies (PSP), and Kyverno or Open Policy Agent (OPA). Original Posting: March 31, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $104,650.00 - $189,175.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos Leidos is a Fortune 500® innovation company rapidly addressing the world's most vexing challenges in national security and health. The company's global workforce of 47,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenue of approximately $15.4 billion for the fiscal year ended December 29, 2023. For more information visit www.Leidos.com. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here. Securing Your Data Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to [email protected]. Commitment and Diversity All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Docker, DevOps, Cloud, API, Junior, Golang and Engineer jobs that are similar:\n\n $60,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\n6314 Remote/Teleworker US

\nAs a Principal Application Security Engineer at Vimeo, you will engage in a variety of activities, either offensive, defensive, or some combination thereof, ultimately aimed at safeguarding our users who entrust Vimeo with their content every day.\n\nYou’ll plan, carry out, and lead security initiatives to monitor and protect sensitive data and systems from infiltration and cyber-attacks.\n\nYou will likely collaborate frequently with and support developers, as well as members of the infrastructure security team, the compliance team, IT, Product, and other teams throughout the organization.\n\nYou love to solve puzzles, and are a great team player.\n\nThis role is remote. The role requires three hours of overlap with the US Eastern time zone (i.e., New York City) daily.\n\nWhat you’ll do:\n\nDepending on your preferences and the current needs of the team, you may either focus on just one or two of the following areas, or you may choose to become involved with many of them.\n\n\n* Security architecture — create a technical plan for partitioning and consolidating our cookies; draft up a sequence diagram for a new middleware to prevent IDOR attacks; implement a POC for leveraging CAPTCHA challenges in cross-origin embedded iframes; draft some code to modify the expiration behavior of our JWTs then pair with our API team to get feedback\n\n* Penetration testing — either hunt for security issues on our production or staged applications during an open-box internal pen test, or help coordinate an engagement with an external firm\n\n* Writing code for internal automated security tools — write some code, usually in Python, Bash, or Go, to support any of our team's various initiatives. Often we strive to facilitate a culture of “paved roads” for our developers, such that it is easy for any developer to incorporate security into their designs and implementations\n\n* Threat modeling — consider how malicious attackers may compromise our systems, and advise developers and product managers on what defenses are needed\n\n* Code reviews — discover weakness in our source code before it reaches production\n\n* Bug bounty program — help triage new incoming reports on a daily basis, plus launch creative initiatives to increase researcher engagement on our programs\n\n* Web Application Firewall and Rate Limiting — expand coverage and tune new rules while coordinating with developers, support team members, and the site reliability team\n\n* Remediation — enable and encourage developers to correctly fix recently discovered security issues in a timely manner, ultimately reducing our Mean Time To Remediate\n\n* Secure Software Development Lifecycle — configure automated tooling (eg. static and dynamic code analysis,, IAST) in our SDLC to detect security issues in our source code before it reaches production\n\n* Developer Education, Security Culture — create fun ways to spread technical security awareness throughout the engineering department\n\n* Incident response — lead or assist in running the various phases of an incident response, including initial detection, triage, containment, recovery, root cause analysis, retrospective, etc.\n\n* Collaboration with the infrastructure security team — pair with members of the infrastructure security team on various projects to secure our cloud instances and employee workstations\n\n* Collaboration with the compliance and privacy team — help ensure that our company complies with industry best practices and standards\n\n* Process improvements — help strengthen our own internal processes and procedures\n\n* A typical day will look like:\n\n\n\n* Engage with one or more product development teams and guide them through a threat model and data flow analysis.\n\n* Review the code for major new functionality to ensure security best practices are followed.  \n\n* Review new tickets in our bug bounty program (http://hackerone.com/vimeo) and use your system design and threat modeling knowledge to reproduce, define risk and mitigating controls and propose a fix., \n\n* A call or two with Development, Product Management teams to discuss security-related issues\n\n* Pen test a new feature in a staging environment with Burp Pro\n\n* Assist the compliance team on a privacy-related project\n\n* Provide technical advice in response to occasional questions from developers and other members of the security team\n\n\n\n\n\n\nSkills and knowledge you should possess:\n\n\n* Required: 5+ years of prior experience in either software development, devops, or site reliability engineering with hands-on coding experience.\n\n* Preferred: prior experience in Application Security\n\n* 7+ total years of relevant experience in Engineering, Application Security, or a similar technical field.\n\n* Strong knowledge of modern web, mobile, and network security\n\n* Strong programming skills with at least one of the following languages, and the ability to read all of them: Python, Go, PHP, Javascript, and Ruby\n\n* Expertise with application pen testing, using tools like Burp or Zap\n\n* Confident working in and across cloud environments like AWS and GCP. Detailed knowledge of at least one cloud environment.\n\n* Confident with shell scripting\n\n* Confident with common SDLC components, like git, Jira, Jenkins, etc\n\n* Confident ability to communicate technical security concepts to developers\n\n* At least an upper-intermediate level of English\n\n\n\n\nBonus points:\n\n\n* Link to a Github repo with security tools/scripts you’ve developed or help maintain\n\n* Full-stack web development experience creating RESTful applications (in any language) is a big plus\n\n* Open source vulnerability research or blog posts is a big plusS\n\n* Experience with system security hardening guidelines and SDLC principles\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, API and Engineer jobs that are similar:\n\n $62,500 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nTel Aviv, Tel Aviv District, Israel

\nBeware of fraudulent recruitment activities impersonating Degreed. Scammers are using our name, “Degreed”, impersonating our website, and claiming to be affiliated with Degreed as part of a recruitment scam. Please note that Degreed does not recruit talent through WhatsApp, Telegram or any other direct-messaging systems other than Degreed.com e-mail and, during the interview process, phone numbers. We also do not request sensitive personal or financial information in an unsolicited manner, nor do we offer employment opportunities that require upfront payments or promise unrealistic returns.\n\nDegreed is the upskilling platform that connects learning to opportunities. We integrate everything people use to learn and build their careers—skill insights, LMSs, courses, videos, articles, and projects—and match everyone to growth opportunities that fit their unique skills, roles, and goals.\n\nThe Degreed Client Experience (CX) team plays a crucial role in ensuring customer satisfaction and success. The CX teams’ deep knowledge allows them to strategically guide clients, providing tremendous value. The CX team actively participates and assists clients with their learning journeys and transformations. The candidate will be working closely with the CX technical teams to design and maintain client support workflows powered by AI.\n\nThis role will be based onsite in Bengaluru, India. After an in-office onboarding period, incumbents are expected to be available in office for a few days per week as part of hybrid work model.  Candidates will also be required to travel internationally 1-2 times annually for full company gatherings.\nDay in the Life\n\n\n* Design, develop, and maintain cloud-based AI applications, leveraging a full-stack technology stack to deliver high-quality, scalable, and secure solutions. \n\n* Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics features and functionality that meet business requirements and user needs. \n\n* Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability. \n\n* Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation. \n\n* Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies. \n\n* Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience. \n\n* Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code. \n\n* Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform. \n\n* Collaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering team. \n\n* Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across a variety of sectors. \n\n* Influence, educate and directly support the analytics application engineering capabilities of our clients \n\n\n\nWho You Are\n\nWe seek outstanding individuals to join our outstanding teams. As a Lead AI Software Engineer you not only want to deliver great products, you also want to collaborate with other great engineers:\n\n\n* 5+ years at Senior or Staff level, or equivalent Software Development Experience\n\n* Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS \n\n* Experience with server-side technologies such as, Django, Flask, Fast API\n\n* Experience with Cloud platforms and services (AWS, Azure, GCP) via Terraform Automation (good to have)\n\n* 2+ years of Python \n\n* Experience with Git for versioning and collaborating \n\n* Experience with DevOps, CI/CD, Github Actions \n\n* Exposure to LLMs, Prompt engineering, Langchain a plus \n\n* Experience with workflow orchestration - doesn’t matter if it’s dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other \n\n* Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or Kubernetes \n\n* Strong interpersonal and communication skills, including the ability to explain and discuss complex engineering technicalities with colleagues and clients from other disciplines at their level of cognition  \n\n* Curiosity, proactivity and critical thinking  \n\n* Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance. \n\n* Strong knowledge in designing API interfaces \n\n* Knowledge of data architecture, database schema design and database scalability \n\n* Agile development methodologies \n\n\n\n\n \n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Docker, Travel, DevOps, Cloud, HTML, Git, API, Senior and Engineer jobs that are similar:\n\n $82,500 — $127,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBengaluru, Karnataka, India

\nThe Role\n\nAs a Staff Cloud Engineer, you will play a pivotal role in designing, implementing, and maintaining robust infrastructure solutions supporting all of Magic’s products. You will also help expand Magic’s platform to meet global demand while maintaining resiliency and uptime. You will work with engineering teams to develop cloud native solutions that scale globally. Your extensive experience and technical expertise will be instrumental in shaping the future of our innovative product.\n\nThis position is based in either our New York City (NYC) office or remote within Canada.\n\nKey Responsibilities:\n\n\n* You will manage and expand our container orchestration platforms to support our customer platform in Kubernetes (EKS), ECS and Lambda.\n\n* Design and build CI/CD pipelines with a promotion based model (GitHub Actions).\n\n* Leverage your experience with infrastructure-as-code frameworks such as CDK, Terraform, and Pulumi to manage infrastructure with CI/CD. \n\n* Architect and design with teams across the org to build robust and scalable API solutions in AWS that meet both current and future needs.\n\n* Own the architecture and development of system components to improve monitoring, alerting and stability with compliance and security in mind (Datadog and Pagerduty).\n\n* Utilize your expert knowledge of WAF and Zero-Trust solutions including AWS WAF and Cloudflare to keep our products safe and secure.\n\n* Collaborate with security teams to implement and maintain robust security measures, including vulnerability assessments and risk management.\n\n* Provide mentorship and guidance to junior DevOps team members, promoting best practices and knowledge sharing.\n\n* Leverage performance and load test tooling to identify and address performance bottlenecks and optimize backend services for efficiency and speed.\n\n* Participate in on-call rotation and incident response to ensure 24/7 system availability.\n\n\n\n\nQualifications:\n\n\n* 8+ years of Cloud Engineering experience (DevOps/SRE) designing production systems in public cloud environments (AWS [preferred], GCP, or Azure). \n\n* Excellent Incident Management skills to navigate and lead incidents adeptly to ensure platform uptime.\n\n* Strong experience with programming and scripting languages such as Python, Go, and TypeScript.\n\n* Excellent problem-solving skills and the ability to work in a fast-paced startup environment.\n\n\n\n\nBonus Points:\n\n\n* AWS Certified DevOps Engineer or related certifications.\n\n* Experience managing Web3/Crypto infrastructure.\n\n* Previous experience in a startup environment.\n\n* Knowledge of microservices architecture and RESTful API design.\n\n\n\n\nBenefits:\n\n\n* Fully remote team and flexible working hours\n\n* Competitive salary and stock options\n\n* Unlimited paid time off\n\n* Health, Vision, and Dental insurance\n\n* 401(k) program\n\n* Top of the line equipment\n\n* $300 monthly budget for home office needs and professional development\n\n* Annual team meetups\n\n\n\n\nSalary Range: \n\n\n* Canada: $200K-$250K CAD\n\n* New York City: $200K-$250K USD\n\n\n\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, DevOps, Cloud, API, Junior, Engineer and Backend jobs that are similar:\n\n $70,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States

About Phaidra\n\nPhaidra is building the future of industrial automation.\n\nThe world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.\n\nPhaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:\n\n\n* We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.\n\n* We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.\n\n* We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.\n\n\n\n\nOur team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.\n\nPhaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, and India.\n\n**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**\nWho You Are\n\nWe are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n\n* We are seeking a team member located within one of the following areas: USA/Canada/UK/EU\n\n\n\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 10+ years of work experience.\n\n* Proven record on impact as a Tech Leader and bar-raiser for ambitious Software Engineering teams\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Extensive experience with platform Software Engineering with the ability to contribute on all levels as an individual contributor and tech leader\n\n* Strong expertise on building, operating and monitoring large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and metrics collection\n\n* Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling\n\n* Strong expertise in Python and Cloud environments\n\n* Very good grasp of Machine Learning (especially Deep Learning) fundamentals\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience with building applications that can be deployed in cloud, as well as in hybrid or on-prem environment\n\n* Exposure to Reinforcement Learning or other in-depth knowledge on modern ML applications\n\n* Experience with industrial applications, industrial control systems, IoT, sensor time series applications, or similar\n\n\n\nRelevant Technologies from our Stack\n\n\n* Python, Go\n\n* PyTorch, PyTorch Lightning\n\n* Ray.io, Prefect, mlflow\n\n* REST & gRPC micro-services\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Grafana Cloud, Prometheus\n\n* Poetry, Pants\n\n* Gitlab CI, ArgoCD, Atlantis\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* \n\nMeeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.\n\n\n* \n\nTech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.\n\n\n* \n\nML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring\n\n\n* \n\nML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.\n\n\n* \n\nCulture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.\n\n\n\nBase Salary\n\n\n* US Residents: $156,000-$234,000/year\n\n* UK Residents: £108,000-£162,000/year\n\n\n\n\nSalary ranges for EU countries will vary based on the market rate for the location.\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.\nBenefits & Perks\n\n\n* Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.\n\n* Phaidra is a 100% remote company with a digital nomad policy.\n\n* Competitive compensation & equity.\n\n* Outsized responsibilities & professional development.\n\n* Training is foundational; functional, customer immersion, and development training.\n\n* Medical, dental, and vision insurance (exact benefits vary by region).\n\n* Unlimited paid time off, with a minimum of 20 days off per year requirement.\n\n* Paid parental leave (exact benefits vary by region).\n\n* Home office setup allowance and company MacBook.\n\n* Monthly remote work stipend.\n\n\n\nOn being Remote\n\nWe are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.\nEqual Opportunity Employment\n\nPhaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].\nE-Verify Notice\n\nPhaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.\n\nAdditional information about E-Verify can be found here.\n\n#LI-Remote\n\nWE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Engineer and Backend jobs that are similar:\n\n $70,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

About the position\n\nRegardless of your role, you'll have massive ownership and freedom and have the opportunity to work with a variety of technologies across the stack (and across blockchains). This role is fully remote.\nTechnologies we currently use\n\n\n* 🦀 Rust & 🐍 Python\n\n* AWS as our main cloud provider\n\n* Postgres / Redis / Kafka / S3 / Prometheus\n\n\n\nWhat you’ll do at Blowfish\n\n\n* Ship greenfield products and features to improve blockchain user safety\n\n* Contribute to our API platform and blockchain infrastructure\n\n* Data-modeling, system and API design\n\n* Build an engineering culture that attracts the most talented people to join us\n\n\n\nWe'd love to hear from you if...\n\n\n* You want to be part of an early team with a lot of new product to build\n\n* You are excited about working with blockchain technologies\n\n* You enjoy tackling big problems with unknown solutions\n\n* You're comfortable creating something from nothing\n\n* You are detail-oriented and care deeply about developer experience\n\n* You're known to be pro-active and are driven by curiosity\n\n* You can handle complexity, but prefer simplicity\n\n\n\nQualifications\n\n\n* 4+ years full-time software engineering experience\n\n* 1+ years full-time experience working with Rust\n\n* 1+ years full-time working with Solana or EVM technologies\n\n* Experience building and maintaining a production system at scale\n\n* Experience working in a fast-paced start-up environment\n\n\n\nWhy Work with Us\nOpportunity\n\nWe are a tight-nit team of blockchain industry veterans solving one of the largest problems facing the mass adoption of crypto: transaction security. Despite being a year old, we have already integrated into Phantom, the leading wallet on Solana with millions of users as well as many other wallets across the Solana & EVM ecosystems. We are scanning millions of transactions each week for malware and scams and are helping keep their users safe. Transaction security is a high leverage way to make a difference in the world — protecting users funds and enabling them to give informed consent when entering digital agreements involving their finances and other ownership rights. We support EVM and Solana blockchains and will be adding more chains over time.\nBenefits\n\n\n* 👍 Significantly above market rate equity compensation package — giving you meaningful ownership is important to us\n\n* 🧘‍♀️ Comprehensive health insurance\n\n* 💻 Stipend for your ideal remote / WFH set-up: laptop, headphones, and any other work gear you may need.\n\n* 🏝️ Unlimited vacation with an enforced 20 day minimum policy: Take time off when you need it.\n\n* ⛰️ Paid travel - team on-sites in different parts of the world, several times a year\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Redis, Travel, Cloud, API and Engineer jobs that are similar:\n\n $60,000 — $115,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nSteer is looking for a Senior Platform Engineer with extensive production Kubernetes experience to join our Platform Engineering Team responsible for designing and implementing our infrastructure in Kubernetes, improving our monitoring and alerting, working with application engineers to find and implement the right solutions, and ensuring uptime, resilience and scalability in response to surging product usage.\n\n \nYou Will \n\n\n* Manage and deploy cloud-based environments for all stages of application development and testing\n\n* Build deployment tooling to allow our application developers greater autonomy and self service\n\n* Find and mitigate application, cloud and network vulnerabilities and bottlenecks. Not only suggest improvements, but champion investment in those improvements \n\n* Develop and deploy CI/CD automation infrastructure using Github Actions, Flux\n\n* Ensure appropriate application and infrastructure logging and monitoring to maintain highest possible uptime\n\n* Monitor system components and application processing to proactively identify incidents, resolve issues, and lead incident support / root cause analysis \n\n\n\n\n \nYou have\n\n\n\nMust have\n\n\n\n\n* 7+ years of Platform Engineering/DevOps/System administration\n\n* 4+ years extensive demonstrable Kubernetes experience: designing, deploying and operating complex production environments using advanced cloud native tools\n\n* 5+ years public cloud experience: AWS (preferred), GCP, Azure\n\n* 4+ years extensive Terraform experience, including managing large infrastructures, writing modules, refactoring manifests\n\n* 3+ years programming experience in a modern programming language: Go (preferred), Python, plus shell scripting proficiency\n\n* Worked with mission-critical, 24/7 production environments \n\n\n\n\n\n\nNice to have\n\n\n\n\n* Extensive CI/CD knowledge, implementing software build and deployment pipelines, advanced deployment patterns\n\n* Very good knowledge of infrastructure, application, and system security practices\n\n* GitOps experience (FluxCD, ArgoCD)\n\n* Hands-on experience with some/all of MongoDB, RabbitMQ, Redis, Postgres, Vault, service meshes, API gateways, etc.\n\n* Hands-on monitoring experience with modern tools and services, e.g. Prometheus, Grafana, Loki, ELK/EFK, CloudWatch, DataDog, NewRelic\n\n* Good understanding of distributed systems\n\n* Agile software development methodologies experience \n\n\n\n\n \nWho we are\n\nSteer offers a suite of software tools for today’s automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly cost-effective platform. Through the Steer CRM suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention.\n\nFounded in 2006, Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader and respected resource in the automotive repair industry.\n\nWe value people and corporate culture most of all and create a team of devoted, smart, energetic people with striking personalities who want to grow professionally and build their career in a fast growing international company. We believe that a great team makes the company successful.\n\n \nWe offer\n\n\n* Flexible Vacation Policy\n\n* Learning Stipend\n\n* 100% Remote\n\n* WFH Equipment\n\n* Chance to work with the latest technology\n\n* A collaborative and innovative work culture\n\n* Opportunities for career growth and development\n\n\n\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, API, Senior, Marketing and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRio de Janeiro, Rio de Janeiro, Brazil

Who You Are\n\nWe are looking for a driven Software Engineer (MLOps) to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n**We are seeking a team member located within one of the following areas: USA/Canada/UK\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as an experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 7+ years of work experience.\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Expertise with production Software Engineering - relational and non-relational data modelling, micro-services, understanding of event driven systems, etc.\n\n* Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\n\n* Strong expertise in Python and Cloud environments\n\n* Good grasp of Machine Learning (especially Deep Learning) fundamentals.\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience as a service owner of a realtime production system - operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings and incident management.\n\n* Experience with building applications that can be deployed in cloud, hybrid or on prem environments\n\n* Exposure to Reinforcement Learning\n\n\n\nOur Stack\n\n\n* Languages - (Backend) Python, Go; (Frontend) JavaScript/TypeScript, React; Customer SDK & Clients - C# .NET\n\n* PyTorch\n\n* Cypress\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* Gitlab CI, ArgoCD, Atlantis, Vercel\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Ray.io\n\n* REST & gRPC micro-services\n\n* Poetry, Pantsbuild\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* Initial screening interview with a People Operations team member (30 minutes): The purpose of this interview is to meet you, learn more about your background, and discuss what you are looking for in a new position.\n\n* Hiring manager interview (30 minutes): The purpose of this meeting is for you to get to know the manager for the role. This chat will mainly focus on your previous experience and technical background. You can expect to talk about projects that you have worked on in the past and ask any questions about the team & role.\n\n* Technical Interview 1 (60 minutes): The purpose of this interview is to assess your skills in Machine Learning and related mathematics.\n\n* Technical Interview 2 (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring.\n\n* Meeting with VP of Engineering (30 minutes): This interview is a combination of technical and cultural fit assessment. You will cover the technical experience and the skills that you brinand have an opportunity to ask any questions about the team’s culture or vision.\n\n* Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values\n\n\nBase Salary\n\nUS Residents: $115,200-$208,800/year\n\nUK Residents: £96,400-£144,000/year\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Senior, Engineer and Backend jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

\nAbout Finch\nWe are on a mission to empower innovators to access the global employment ecosystem and connect the world's employers under a single API. To do this, we're looking for individuals who think about problems holistically and in-depth, who are relentlessly curious, self-starters, and determined to drive ideas from inception through to completion.\n\n\nFinch is a Series B company backed by a fantastic set of firms, angels, and our developers including General Catalyst, Menlo Ventures, Homebrew, BoxGroup, YCombinator, Charley (1st business hire at Plaid), Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more.\n\n\nAbout Our Team\nWe're a team of problem solvers who aren’t afraid to challenge assumptions. We value velocity, curiosity, empathy, and diverse perspectives. Everyone on the team is excited about the scope of the problems we address and the potential impact our work can have on the global workforce. We realize that the value we provide comes with great responsibilities, and therefore make security and privacy our highest priorities. \n\n\nWe come from a diverse set of backgrounds and each member brings different skills to the group. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns.  \n\n\nTeam Integrations\nTeam Integrations focuses on managing Finch’s external-facing integrations to maintain and expand on the coverage, depth, and reliability of data retrieval from employment systems on behalf of employers. Integrations are the most critical component of our infrastructure as they control the transfer of data across numerous employment systems to be served efficiently to our customers. As a software engineer on Finch’s Integrations team, you will help expand the access of data across our many integrations while improving integration quality and reliability.\n\n\nAbout you\nYou possess a balance of technology and people skills with a high degree of empathy. You thrive on cutting through areas of high ambiguity, narrowing down high-level problems into engineering solutions. You’re able to coordinate across product, engineering, and support teams to ensure that we’re delivering the right solution for the right problem and that all parties are aligned. You value your customers and your peers and want to succeed as a team. You’re comfortable wearing many hats and aren’t afraid to execute. You’re excited by working on an API product that powers many of the world’s most impactful applications but that end users may never know exists.\n\n\n\nWhat You Will Do\n* Live by and champion our values: empathy, execution, humility, and curiosity\n* Design, build, and maintain powerful services to enable Finch’s data presentation layer\n* Build new integrations and improve on the existing ones\n* Develop, test, and maintain integrations to meet security, scalability, and performance requirements to ensure that our services run reliably and efficiently at scale\n* Deploy code daily\n* Contribute to large product initiatives that may span across multiple teams\n* Understand roadmap priorities and write code focused on scalability, testability, and maintainability\n* Quickly debug issues throughout our stack using modern observability tooling and your solid foundation of engineering knowledge\n\n\n\nWhat You Will Bring\n* Degree and 5+ years of relevant backend development experience in a start-up environment\n* Track record of executing and delivering on projects with high ambiguity\n* Detail-oriented approach to challenges and the ability to drive initiatives to completion\n* Exposure to high-growth start-ups\n* Knowledge of agile best practices and how to leverage them to release faster\n* Technical understanding of the software development process\n* Exceptional written and oral business communication and people skills, with the ability to influence stakeholders, including technical leaders and executive management\n* Experience working cross-functionality across multiple teams to deliver high-quality products\n* Experience working in a remote-first environment\n\n\n\nSkills\n* Experience working with APIs\n* Knowledge of system-design best practices and experience working with distributed systems\n* Experience using Git in a professional environment\n* Experience working with NodeJS, PostgreSQL, Redis\n* Experience using a cloud provider. AWS is a bonus\n* Experience using a distributed messaging system is a bonus\n* Knowledge of testing best practices. TDD is a bonus\n\n\n\n\n\nFinch is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Testing, Cloud, Git, API, Engineer and Backend jobs that are similar:\n\n $57,500 — $107,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLATAM

Docker is a remote first company with employees across Europe, APAC and the Americas that simplifies the lives of developers who are making world-changing apps.  We raised our Series C funding in March 2022 for $105M at a $2.1B valuation. We continued to see exponential revenue growth last year.  Join us for a whale of a ride!The Billing team ensures painless purchasing, reliable billing, proper user entitling, and robust payment reporting within Docker's products. As a Backend Engineer, you will propose, prototype, and eventually publish tools and features to solve problems, such as:* How can we rapidly roll out billing and subscriptions for new products and services?\n* How can we build a robust billing backend that will enhance the payment process?\n* What can we do to streamline internal and external business operations?\n\nYou will collaborate with product managers, designers, and engineers to design user journeys and API specifications, using tools like Slack, Zoom, Miro, and Notion. You will also work across departments on this team, interfacing with Business Operations, Data, Finance, Marketing, and Support more than our average team. You will be constantly seeking ways to improve development practices to ensure we maintain a high level of quality with a fast pace of delivery. You will help foster an optimistic and uplifting environment with collaboration and innovation. Finally, you should be passionate about how developers' lives could be made easier, and about Docker's role in that.Responsibilities:* Build and improve on a billing system managing tens of thousands of subscriptions, and processing thousands of daily transactions\n* Lead and contribute to new features that enhance our users’ billing and payments experience in Docker Hub and other new Docker products\n* Write project proposals, document standard operating procedures, and evaluate 3rd party tools\n* Write, review, maintain, and document Golang code, including unit, integration, and e2e tests\n* Mentor, coach, and pair with team members on software engineering best practices\n* Work within a cross-functional delivery team of 5+ software engineers, with an embedded product manager and designer\n* Deploy code to production, and own the product throughout the lifecycle\n* Demonstrate cross-team collaboration and own the team’s engineering needs\n* Respond to daytime internal billing support requests, on rotation (avg. 12/week), from throughout the company\n* Participate in paid 12-hour daytime on-call shifts for one week every 2-6 months\n\nQualifications:* Experience in senior and leadership roles, capable of taking initiative, supporting more junior engineers, and leading by example with an optimistic outlook\n* Experience and interest in user checkout experiences, payment processing, invoicing, recurring subscriptions, and/or business operations\n* Experience with payment and billing platforms (Stripe preferred)\n* Experience with debugging and related tools, test automation, troubleshooting, and understanding code of myriad authors\n* 5+ years experience building SaaS applications\n* 3+ years with a C-based backend language, preferably Golang\n* Experience with* SQL (Postgres preferred)\n* Cloud platforms (AWS preferred, or GCP, Azure)\n* IaC (Terraform preferred)\n* Containers (Docker, Kubernetes)\n* CI/CD systems (Jenkins, GitHub Actions)\n* Snowflake (nice-to-have)\n* Python, data ingestion (ETL), and data pipelines (nice-to-have)\n* Salesforce and APEX (nice-to-have)\n\n\n* Knowledge of security and compliance best practices (PCI, SOC2, SOX)\n* Strong verbal and written English skills with a record of documenting SOPs and project proposals\n* Ability and interest in working at a fully remote company crossing international time zones\n* Past demonstrations of proactively working outside of this job description\n\nWhat to expect in your first 30 days:Being a fully remote workplace, Docker has a focus on keeping teams connected. To that end, your first two weeks will include a calendar with many 1:1 sessions intended to introduce you to your team and others with whom you will interact frequently. Expect to spend time on other onboarding activities like IT setup, navigating productivity tools, and getting familiar with your regular calendar cadence.As part of your hands-on onboarding, you’ll have completed your first tasks contributing to the code base, getting familiar with the team’s Agile/Scrum processes and software development life cycle.By the end of the month, you should be familiar with Docker’s values and goals, our leadership, your team, your tools, and where to go for information - everything you need to build an understanding of Docker Hub, Billing systems and infrastructure, and making your own impact to our systems.What to expect in your first 90 days:In your first three months you’ll have developed a good relationship with your team and have become familiar with its routines. You will be comfortable sharing ideas and opinions formed from your depth of experience in daily standups, weekly planning, and ad-hoc engineering discussions.Expect to be familiar with the team’s roadmap and working directly with our project manager, planning ahead (e.g. through written proposals) and breaking down work on which the team will execute. Throughout bi-weekly sprints you’ll be making regular contributions to our Golang codebase and REST APIs, interacting with a PostgreSQL database and third party APIs like Stripe.You’ll have become familiar with Docker Hub systems and infrastructure with a focus on backend services, frontend components, and external integrations owned by the Billing team. You will be gaining comfort completing Jira tickets and pull requests (as both committer and reviewer) on Github and deploying to production using GitHub Actions as our CI/CD system.What to expect in your first year:Within your first year you’ll have made significant contributions to team velocity through your work as an individual contributor, but also by creating impact through the skill and wisdom you impart on the team through mentorship, insight, and off-the-Jira-board contributions (architecture & design, process improvements, etc.)You’ll have played a substantial role in the planning and execution of new tooling and internal system updates to facilitate pricing and packaging agility, usage-based billing, and billing support for new products contributing directly to Docker’s bottom line and long term ARR goals.Working through Slack, Zoom, Notion, and Jira, you’ll have established strong relationships with our stakeholders in Business Operations, Accounting, Finance, and Support, comfortable handling and prioritizing ad-hoc requests and discussing your team’s involvement.In collaboration with your manager, you will have a Career Development Plan that will outline your trajectory beyond your first year.Perks:* Freedom & flexibility; fit your work around your life\n* Home office setup; we want you comfortable while you work\n* 16 weeks of paid Parental leave\n* Technology stipend equivalent to $100 net/month\n* PTO plan that encourages you to take time to do the things you enjoy\n* Quarterly, company-wide hackathons\n* Training stipend for conferences, courses and classes\n* Equity; we are a growing start-up and want all employees to have a share in the success of the company\n* Docker Swag\n* Medical benefits, retirement and holidays vary by country\n\nDocker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.Due to the remote nature of this role, we are unable to provide visa sponsorship.#LI-REMOTE \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Docker, Design, SaaS, API, Senior, Golang, Engineer and Backend jobs that are similar:\n\n $52,500 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.\nRole Description: \n\nWe are seeking a talented and experienced Mid-level AI Product Support Engineer to join our team. The ideal candidate will play a crucial role in the development and maintenance of our platform offerings, demonstrating a strong understanding of system architecture, problem-solving skills, and the ability to guide junior engineers.\n\nAs a Mid-Level Product Support Engineer within our organization, you will join a team of dedicated Unicorns who are focused on advancing freedom and independence globally. We offer mission capabilities that accelerate value and are looking for someone to serve as a specialist with our AI for National Security offerings, working directly with our Mission Heroes.\nResponsibilities: \n\nIn this role, your primary responsibilities will include ensuring successful install and upgrade of our AI offerings with Mission Heroes, while providing them training and coaching to better understand these aspects.  You will be a crucial link between our product development team and our Heroes’ Production Environments, advocating best practices and fostering communication with our Heroes’ engineering team. Please note, this position will require being on call to support our Service Level Agreements (SLAs). \n\nIn this position, you will be expected to: \n\n\n* Decompose Issues for Junior Engineers: Break down complex technical issues into manageable tasks for junior engineers. Provide clear guidance and mentorship to support their professional growth.\n\n* Validate Solutions/Implementations: Ensure that solutions and implementations align with the outlined tasks and business requirements. Conduct thorough validations to maintain the integrity and efficiency of the platform.\n\n* Independently Problem Solve: Demonstrate the ability to identify and solve business problems independently. Develop small components to address specific challenges without relying on explicit architecture diagrams.\n\n* Understand Medium-Level Tasking: Comprehend how medium-level tasks contribute to the achievement of overall goals. Collaborate with cross-functional teams to integrate various components into a cohesive and functional platform.\n\n* Estimate Time and Effort: Provide accurate time and effort estimates for medium-sized tasks. Assist in project planning and resource allocation based on estimated timelines.\n\n* Demonstrate Programming Language Proficiency: Possess familiarity with at least one programming language. Exhibit a basic understanding of when to use a programming language versus a shell for efficient task execution.\n\n* Own the bridge between the product team and the Heroes’ Engineering team: \n\n\n* Interject "best practices" to the Heroes’ engineering team and facilitate collaboration between our teams and theirs.\n\n* Lead discussions on the benefits of using cyber-secure tools.\n\n* Establish and facilitate automated Zarf builds as part of CI for multiple Hero teams.\n\n* Collaborate with the product team on lessons learned.\n\n\n\n\n\n* Contribute to CI/CD and other automation experiences: Build and maintain automated pipeline functions, leading teams towards delivery and sustainment options.\n\n* Demonstrate knowledge of AI technologies, including Large Language Models (LLMs)\n\n* Exhibit strong programming skills and deep familiarity with Linux/Unix operating systems.\n\n* Implement infrastructure as code and contribute to the build/maintenance of kubernetes clusters on various distributions (i.e EKS & RKE2).\n\n* Apply extensive experience with cloud native technology deployments, emphasizing secure coding practices and vulnerability remediation.\n\n* Communicate your work to Hero engineering teams through your documentation, engagements, and training sessions\n\n\n\n\nThe listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. \n\nTravel Expectations: 10%-25%\nPreferred Experience and Qualifications:\n\n\n* Proven experience as a Platform Engineer or similar role, with a focus on AI integration and tooling.\n\n* Familiar with various AI domains and common frameworks (Transformers, Tensorflow, Torch, OpenAI API, etc.).\n\n* Strong problem-solving skills and the ability to work independently.\n\n* Proficiency in at least one programming language (e.g., Python or Go) and a basic understanding of shell scripting.\n\n* Demonstrated ability to guide and mentor junior engineers.\n\n* Experience with security automation and familiarity with API Security, Container Security, and AWS Cloud Security.\n\n* Experience in architecture security design, monitoring, and performance instrumentation in a complex enterprise environment.\n\n* Demonstrated familiarity with cloud-native technologies such as Kubernetes, Google Cloud, and Docker.\n\n* Currently hold a security clearance/Eligible to obtain for a security clearance.\n\n* Possess (or ability to quickly obtain) a DoD 8570 IAT II certification.\n\n* Experienced in working on a team following an Agile framework in a remote environment.\n\n* Familiarity with continuous delivery, distributed architectures, systems, everything-as-code, containerization, and cloud services.\n\n* Experience with DevSecOps/DevOps and CI/CD theory and best practices.\n\n* Experience with YAML.\n\n\n\n\nIf you are a skilled Product Support Engineer looking to contribute to the growth and success of a dynamic organization, we invite you to apply and join our team. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud, API and Engineer jobs that are similar:\n\n $60,000 — $112,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n