Our Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate is a self-starter that has deep technical expertise in their domain. Position Responsibilities As a Senior Staff Engineer, you will: Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise Collaborate across team members and across the tech organization to solve our toughest problems Develop and execute technical software development strategy for a variety of domains Accountable for the quality, usability, and performance of the solutions Utilize programming languages like C#, Java, Python or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives Consistently share best practices and improve processes within and across teams Analyze cost and forecast, incorporating them into business plans Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning Qualifications Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap Experience partnering with engineering teams and transferring research to production Extensive experience in leading and building full-stack application and service development, with a strong focus on SAAS products / platforms. Proven expertise in designing and developing microservices using C#, gRPC, Python, Django, Kafka, and Apache Spark, with a deep understanding of both API and event-driven architectures. Proven experience designing and delivering highly-resilient event-driven and messaging based solutions at scale with minimal latency. Deep hands-on experience in building complex SAAS systems in large scale business focused systems, with great knowledge on Docker and Kubernetes Fluency and Specialization with at least two modern OOP languages such as C#, Java, C++, or Python including object-oriented design Great understanding of open-source databases like MySQL, PostgreSQL, etc. And strong foundation with No-SQL databases like Cosmos, Cassandra. Apache Trino etc. In-depth knowledge of CS data structures and algorithms Ability to excel in a fast-paced, startup-like environment Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) Experience with Micro-services oriented architecture and extensible REST APIs Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems Experience in implementing security protocols across services and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework Experience in leveraging PowerShell scripting Experience in existing Operational Portals such as Azure Portal Experience with application monitoring tools and performance assessments Experience in Azure Network (Subscription, Security zoning, etc.) Experience 10+ years full-stack development experience (C#/Java/Python/GO), with expertise in client-side and server-side frameworks. 8+ years of experience with architecture and design 6+ years of experience in open-source frameworks 4+ years of experience with AWS, GCP, Azure, or another cloud service Education Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. Benefits: As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including: Premier Medical, Dental and Vision Insurance with no waiting period** Paid Vacation, Sick and Parental Leave 401(k) Plan Tuition Reimbursement Paid Training and Licensures *Benefits may be different by location. Benefit eligibility requirements vary and may include length of service. **Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants. For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. Opportunities for Students & Grads Learn more about GEICO Learn more about GEICO Diversity and Inclusion Learn more about GEICO Benefits \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Docker, DevOps, Education, Cloud, API, Senior and Engineer jobs that are similar:\n\n $47,500 — $97,500/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\nMD Chevy Chase (Office) - JPS

\nAirDNA began with a big dream in a balmy California garage in 2015. Since then, the technology startup has grown into the leading provider of data and business intelligence for the billion-dollar travel and vacation rental industry—with offices in Denver and Barcelona. \n\n\nOur self-serve platform eliminates guesswork and equips Airbnb hosts with smart and competitive insights needed to succeed in the ever-evolving short-term rental landscape. \n\n\nWe also arm enterprise clients with customized reports and in-depth dashboards to ensure they can scale and invest strategically. These customers include hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations around the world. \n\n\nWe track the daily performance of over 10 million Airbnb and Vrbo properties across 120,000 global markets. We also collect data from over a million partner properties. This marriage of scraped and source data, enhanced by our proprietary algorithms, makes our solutions the most accurate and comprehensive in the world. \n\n\nWe’re firm believers that data isn’t the destination; it’s the starting point. The launchpad. The bedrock for any future-forward business.\n\n\nThe Role: \n Come join our Platform team and help drive our growth by designing, maintaining, and improving our platform and processes. The ideal person for this role is driven to design robust, scalable, secure infrastructure, cares about the details, and enjoys helping both individual engineers and their teams work more effectively.\n\n\n\nHere's what you'll get to do: \n* Build and maintain monitoring, logging, and telemetry solutions for proactive performance and reliability management (experience with Datadog, Prometheus, Grafana).\n* Evaluate and integrate new technologies to enhance platform capabilities, especially around containers, databases, and cloud-native architectures.\n* Ensure security, compliance, and cost optimization in all platform solutions, utilizing tools like IAM, GuardDuty, and AWS Security Hub.\n* Design, implement, and manage scalable infrastructure solutions using AWS services (EC2, S3, RDS, Lambda, CloudFront, etc.).\n* Manage, scale, and optimize multiple databases (PostgresQL + Druid) to ensure performance, availability, and redundancy.\n* Collaborate with development and operations teams to streamline release processes and integrate best practices for infrastructure as code (Terraform, CloudFormation).\n* Work closely with stakeholders to identify infrastructure needs and lead initiatives to scale the platform in alignment with business goals.\n* Drive continuous improvement in the platform’s architecture and processes, optimizing for performance, reliability, and operational efficiency.\n* Collaborate with cross-functional teams to align platform development with product goals and strategies.\n* Mentor and guide junior team members, providing technical leadership and driving best practices across the platform team.\n\n\n\nHere's what you'll need to be successful: \n* Strong familiarity with Amazon Web Services, multi-account experience preferred.\n* Expertise using Docker and Kubernetes.\n* Experience with developing and maintaining CI/CD pipelines to automate application deployment and infrastructure provisioning.\n* Able to diagnose and troubleshoot problems in a distributed microservice environment.\n* Solid understanding of TCP/IP networking.\n* Expertise with Linux (prefer Ubuntu, Alpine, and/or Amazon Linux).\n* Understanding of DevOps practices.\n* Demonstrated experience in managing or leading platform teams, with the ability to grow the team and develop talent within.\n\n\n\nHere's what would be nice to have:\n* Gitlab pipelines\n* ArgoCD\n* Linkerd, Istio or other service mesh\n* ELK stack or similar logging platforms\n* Ansible or other configuration management tools\n* Cloudformation or other IaC tools\n* JSON/YAML\n* OpenVPN\n* Apache Airflow\n* Databases (postgres and Druid preferred)\n* Cloudflare\n* Atlassian tools such as Jira, Confluence, StatusPage\n* Programming experience: shell scripting, Python, Golang preferred\n* Experience with performance optimization of distributed microservices\n\n\n\nHere's what you can expect from us: \n* Competitive cash compensation and benefits, the salary range for this position is $150,000 - $180,000 per year. \n\nColorado Salary Statement: The salary range displayed in specifically for those potential hired who will work or reside in the state of Colorado if selected for this role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant’s skills and prior relevant experience, certain degrees and certifications. \nBenefits include:\n*  Medical, dental, and vision packages to meet your needs\n* Unlimited vacation policy; take time when you need it \n* Eligible for Company’s annual discretionary bonus program\n* 401K with employer match up to 4%\n* Continuing education stipend\n* 16 weeks of paid parental leave\n* New MacBooks for employees\n\n\nOffice Perks for Denver Based Employees:\n* Commuter/RTD benefit\n* Quarterly team outings\n* In-office lunch Tuesday - Thursday\n* We have a great office located just a few blocks away from Union Station in the heart of Denver’s historic LoDo neighborhood–high ceilings, exposed brick, a fully stocked kitchen (snacks, espresso, etc.), and plenty of meeting rooms and brainstorming nooks\n* Pet-friendly!\n\n\n\n\n\n\nAirDNA seeks to attract the best-qualified candidates who support the mission, vision and values of the company and those who respect and promote excellence through diversity. We are committed to providing equal employment opportunities (EEO) to all employees and applicants without regard to race, color, creed, religion, sex, age, national origin, citizenship, sexual orientation, gender identity and expression, physical or mental disability, marital, familial or parental status, genetic information, military status, veteran status or any other legally protected classification. The company complies with all applicable state and local laws governing nondiscrimination in employment and prohibits unlawful harassment based on any of the aforementioned protected classes at every location in which the company operates. This applies to all terms, conditions and privileges of employment including but not limited to: hiring, assessments, probation, placement, benefits, promotion, demotion, termination, layoff, recall, transfer, leave of absence, compensation, training and development, social and recreational programs, education assistance and retirement. \n\n\nWe are committed to making our application process and workplace accessible for individuals with disabilities. Upon request, AirDNA will reasonably accommodate applicants so they can participate in the application process unless doing so would create an undue hardship to AirDNA or a threat to these individuals, others in the workplace or the company as a whole. To request accommodation, please email compliance@airdna.co. Please allow for 24 hours to process your request. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Amazon, Docker, DevOps, Education, Senior, Marketing, Golang and Engineer jobs that are similar:\n\n $50,000 — $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\nRemote

\nAbout Coalfire\nCoalfire is on a mission to make the world a safer place by solving our clients’ toughest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Denver, Colorado with offices across the U.S. and U.K., and we support clients around the world.   \nBut that’s not who we are – that’s just what we do.  \n \nWe are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference.    \n \nAnd we’re growing fast.  \n \nWe’re looking for a Site Reliability Engineer I to support our Managed Services team. \n\n\nPosition Summary\nAs a Junior Site Reliability Engineer at Coalfire within our Managed Services (CMS) group, you will be a self-starter, passionate about cloud technology, and thrive on problem solving. You will work within major public clouds, utilizing automation and your technical abilities to operate the most cutting-edge offerings from Cloud Service Providers (CSPs). This role directly supports leading cloud software companies to provide seamless reliability and scalability of their SaaS product to the largest enterprises and government agencies around the world.\n \nThis can be a remote position (must be located in the United States).\n\n\n\nWhat You'll Do\n* Become a member of a highly collaborative engineering team offering a unique blend of Cloud Infrastructure Administration, Site Reliability Engineering, Security Operations, and Vulnerability Management across multiple clients.\n* Coordinate with client product teams, engineering team members, and other stakeholders to monitor and maintain a secure and resilient cloud-hosted infrastructure to established SLAs in both production and non-production environments.\n* Innovate and implement using automated orchestration and configuration management techniques. Understand the design, deployment, and management of secure and compliant enterprise servers, network infrastructure, boundary protection, and cloud architectures using Infrastructure-as-Code.\n* Create, maintain, and peer review automated orchestration and configuration management codebases, as well as Infrastructure-as-Code codebases. Maintain IaC tooling and versioning within Client environments.\n* Implement and upgrade client environments with CI/CD infrastructure code and provide internal feedback to development teams for environment requirements and necessary alterations. \n* Work across AWS, Azure and GCP, understanding and utilizing their unique native services in client environments.\n* Configure, tune, and troubleshoot cloud-based tools, manage cost, security, and compliance for the Client’s environments.\n* Monitor and resolve site stability and performance issues related to functionality and availability.\n* Work closely with client DevOps and product teams to provide 24x7x365 support to environments through Client ticketing systems.\n* Support definition, testing, and validation of incident response and disaster recovery documentation and exercises.\n* Participate in on-call rotations as needed to support Client critical events, and operational needs that may lay outside of business hours.\n* Support testing and data reviews to collect and report on the effectiveness of current security and operational measures, in addition to remediating deviations from current security and operational measures.\n* Maintain detailed diagrams representative of the Client’s cloud architecture.\n* Maintain, optimize, and peer review standard operating procedures, operational runbooks, technical documents, and troubleshooting guidelines\n\n\n\nWhat You'll Bring\n* BS or above in related Information Technology field or equivalent combination of education and experience\n* 2+ years experience in 24x7x365 production operations\n* ·Fundamental understanding of networking and networking troubleshooting.\n* 2+ years experience installing, managing, and troubleshooting Linux and/or Windows Server operating systems in a production environment.\n* 2+ years experience supporting cloud operations and automation in AWS, Azure or GCP (and aligned certifications)\n* 2+ years experience with Infrastructure-as-Code and orchestration/automation tools such as Terraform and Ansible\n* Experience with IaaS platform capabilities and services (cloud certifications expected)\n* Experience within ticketing tool solutions such as Jira and ServiceNow\n* Experience using environmental analytics tools such as Splunk and Elastic Stack for querying, monitoring and alerting\n* Experience in at least one primary scripting language (Bash, Python, PowerShell)\n* Excellent communication, organizational, and problem-solving skills in a dynamic environment\n* Effective documentation skills, to include technical diagrams and written descriptions\n* Ability to work as part of a team with professional attitude and demeanor\n\n\n\nBonus Points\n* Previous experience in a consulting role within dynamic, and fast-paced environments\n* Previous experience supporting a 24x7x365 highly available environment for a SaaS vendor\n* Experience supporting security and/or infrastructure incident handling and investigation, and/or system scenario re-creation\n* Experience working within container orchestration solutions such as Kubernetes, Docker, EKS and/or ECS\n* Experience working within an automated CI/CD pipeline for release development, testing, remediation, and deployment\n* Cloud-based networking experience (Palo Alto, Cisco ASAv, etc.…)\n* Familiarity with frameworks such as FedRAMP, FISMA, SOC, ISO, HIPAA, HITRUST, PCI, etc.\n* Familiarity with configuration baseline standards such as CIS Benchmarks & DISA STIG\n* Knowledge of encryption technologies (SSL, encryption, PKI)\n* Experience with diagramming (Visio, Lucid Chart, etc.) \n* Application development experience for cloud-based systems\n\n\n\n\n\nWhy You'll Want to Join Us\n\n\nAt Coalfire, you’ll find the support you need to thrive personally and professionally. In many cases, we provide a flexible work model that empowers you to choose when and where you’ll work most effectively – whether you’re at home or an office. \nRegardless of location, you’ll experience a company that prioritizes connection and wellbeing and be part of a team where people care about each other and our communities. You’ll have opportunities to join employee resource groups, participate in in-person and virtual events, and more. And you’ll enjoy competitive perks and benefits to support you and your family, like paid parental leave, flexible time off, certification and training reimbursement, digital mental health and wellbeing support membership, and comprehensive insurance options.  \n\n\nAt Coalfire, equal opportunity and pay equity is integral to the way we do business. A reasonable estimate of the compensation range for this role is $95,000 to $110,000 based on national salary averages. The actual salary offer to the successful candidate will be based on job-related education, geographic location, training, licensure and certifications and other factors. You may also be eligible to participate in annual incentive, commission, and/or recognition programs.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. \n \n#LI-REMOTE \n#LI-JB1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to SaaS, DevOps, Cloud, Junior and Engineer jobs that are similar:\n\n $60,000 — $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\nUnited 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 hiring@phaidra.ai.\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

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

\nHi there! Thanks for stopping by =]\n\n \n\nAre you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place!\n\n \n\nWe’re looking for a SRE/DevOps engineer to join our team in Tbilisi. This team of experts enables our development teams to efficiently build and run great software to excite our customers. Currently the SRE team is operating 5 different product platforms, mostly running on AWS Cloud infrastructure. Utilizing a variety of technologies including Kubernetes, Elasticsearch, Kafka, Lambda’s etc.\n\n \n\nYou’ll be focussing on the strategic expansion and scalability improvements of our flagship product - while being part of the global team to keep the lights on on all platforms.\n\nAs an SRE you’ll work closely together with engineers and product managers around the world in order to provide tailored and innovative solutions for the market.\n\nLightspeed is happy to offer relocation for this role.\n\n \n\n❑ What you’ll be responsible for:\n\n\n* Initiate and contribute to continuous improvement of our software delivery processes and practices in a multi-location, multidisciplinary team to empower and accelerate product development\n\n* Use automation extensively to design, configure, manage, and monitor systems in support of our product development teams\n\n* Design and architect operational solutions with the specific goal of increasing the standardization, automation, repeatability, cost-efficiency and consistency of operational tasks\n\n* Work with developers and other SRE to design and build scalable and reliable Cloud cost efficient infrastructure\n\n* Write and maintain architectural, stakeholder, policy and processes documentation\n\n* Adhere to and advocate for best practices, including Infrastructure as Code, monitoring, high availability, disaster recovery, security, and DevOps methodologies\n\n* Collaborate with development teams and use intuition, experience and understanding to create SLIs, SLOs, and SLAs\n\n* Provide timely assistance and remediation solutions during critical situations and production incidents to help resolve service problems (You will be on call for periods of time)\n\n\n\n\n \n\n❑ Must have skills:\n\n\n* Kubernetes/Docker\n\n* Bash or Python or Ruby or any other backend language (programing skills)\n\n* Cloud experience, preferably AWS or GCP\n\n* Good experience provisioning and managing infrastructures with high availability constraints\n\n* Good communication skills in English and Russian\n\n\n\n\n \n\n❑ Nice to have:\n\n\n* Terraform, Config Management (puppet/chef/ansible/salt)\n\n* Knowing how to work with Data & Linux systems (ElasticSearch/ Kafka/MySql or any other database)\n\n* CI/CD\n\n\n\n\n \n\n❑ What’s in it for you\n\n\n* Lots of autonomy. Flexible work culture, and the possibility of remote work.\n\n* Everyone matters. Day by day, we improve all our products and processes. We have a global team and flexible work culture that provides many opportunities to grow and develop your career.\n\n* We care. We provide Macbooks for our team members so they can take it anywhere and work from any place. We provide training and educational materials to keep everyone updated.\n\n* We have a concierge service. If you need to meet someone at the airport, get delivery, or even change tires on your car, we have a team that will do that for you.\n\n* We are reliable. Lightspeed was founded in 2004 and remains profitable and self-sustaining. Lightspeed is a public company, and we provide RSU for our employees. We have a head office in Montreal, Canada, and now we are opening offices in Tbilisi and Yerevan. We also have more than 25 offices worldwide, from France to New Zealand.\n\n\n\n\n \n\nWho We Are\n\nPowering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks.\n\nFounded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. \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, Ruby, Senior, Engineer, Linux, Backend and Digital Nomad jobs that are similar:\n\n $70,000 — $120,000/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\nTbilisi, Tbilisi, Georgia