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

\nYour Opportunity:\nAt Tenable, we seek a passionate and skilled Presales Security Engineer to join our team. In this role, you’ll be crucial in driving sales success and enhancing our customers' experience through your technical expertise. You'll work alongside Sales Representatives and a talented team to set Tenable apart from the competition, build lasting customer relationships, and create enthusiastic advocates for our solutions.\n\nYour Role:\n* Deliver Technical Excellence: Present technical demonstrations of Tenable’s platform products, showcasing their value and differentiation to potential customers.\n* Manage Evaluations: Oversee enterprise software trials and "Proof of Value" evaluations, ensuring they align with customer goals.\n* Solve Real Problems: Address customer challenges and business needs with consultative security and compliance expertise.\n* Engage and Educate: Answer technical questions and provide insights, occasionally presenting at local events and conferences.\n* Support Sales Efforts: Work closely with sales representatives to achieve or exceed revenue targets, support local partners in enterprise deals, and respond to RFIs and RFPs.\n\n\n\nWhat you'll need:\n* Technical Expertise: Experience with Nessus or other network scanning technologies and solid foundational knowledge of TCP/IP and network security concepts.\n* Cyber Security & Cloud Knowledge: Familiarity with the Cyber Security ecosystem both on-prem and in the Cloud, including CMDB, Ticketing, Patch Management, PAM, etc.\n* Compliance Awareness: Understanding of international & local compliance standards (e.g., NIS2, DORA, PCI, FISMA, SOX, NERC, CIS, DIS STIG).\n* Effective Communicator: Excellent communication and presentation skills, with the ability to adapt based on the audience and effectively frame problems and solutions. Strong teamwork skills are essential, as collaboration is at the heart of this role’s success.\n* Flexibility: Willingness to travel as needed within your territory (up to 25%).\n* Relationship: Build a good relationship with customers, partners and your peers.\n\n\n\n& Ideally:\n* Experience: 5-7 years of direct Pre-Sales Engineer experience.\n* Certifications: Cloud certifications in  AWS, GCP &/or Azure. CISSP or equivalent.\n* Network Knowledge: Understanding of TCP/IP and network security concepts.\n* System Experience: Experience with enterprise-class operating systems at the security admin level.\n* DevOps Skills: Proficiency in Docker, DevOps, API scripting, and Python SDK.\n* Proactive Attitude: A self-starter who stays up to date with current technologies.\n\n\n\n#LI-JG1\n#LI-Remote \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, Sales 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

Our Mission: \nTo capture the hearts and minds of millions of players across the world by creating unforgettable games powered by the best technology.\n\nAbout Us:\n\nPlayQ is a rapidly growing global entertainment and technology company delivering high-quality mobile titles and innovative game development solutions to a worldwide audience. Our games have been downloaded more than 60 million times across the globe, with millions of users playing every day! \n\nOur dedicated teams, based in downtown Santa Monica, CA, work together to craft the clever, visually stunning, and unforgettable experiences that our players love. Our emphasis on individual leadership means each team member has the opportunity to make a big impact, while our commitment to creative freedom gives them the ability to create whatever they can imagine. \n\nIt’s this mindset that has led us to develop our own IP, infuse games with rich storytelling, build our own development tools, and solve the deepest technical challenges - all in the name of disrupting the mobile gaming landscape.\n\nWhy you'll want to come to work:\n\nAs a Lead DevOps Engineer, you will play a pivotal role in spearheading the design, implementation, and maintenance of robust and scalable infrastructure solutions. You will manage DevOps engineering projects on the team, collaborate closely with our global game and services development teams, and automate processes to enhance overall company efficiency. You will be at the forefront of overseeing the design, creation and management of CI/CD pipelines, cloud infrastructure, and backend service deployments to ensure seamless and automated delivery of applications.\n\nIn this role, you will be instrumental in shaping the technological landscape, fostering innovation, and contributing to the success of PlayQ’s mission. You’d be an ideal fit for this role if you:\n\n\n* Possess a visionary mindset, shaping high-level architectures that power the future of gaming infrastructure.\n\n* Inspire and drive global teams of engineers, translating blueprints into resilient, scalable systems with a "can-do" attitude.\n\n* Roll up your sleeves and dive into technical challenges, leading by example and fostering a hands-on and solutions focused approach.\n\n* Display a proven track record of driving results, demonstrably reducing deployment time and optimizing performance\n\n* Communicate effectively across technical and non-technical audiences, collaborating seamlessly with global game and service development teams.\n\n* Possess a passion for learning and innovation, staying ahead of the curve in cloud technologies and DevOps best practices.\n\n* Embrace a fast-paced, collaborative environment, thriving in a culture where ideas are valued and teamwork is paramount.\n\n\n\n\nWhat you'll get to create:\n\n\n* Lead the design, implementation, and maintenance of highly scalable and secure infrastructure solutions, collaborating closely with development teams to automate manual processes and boost overall team efficiency.\n\n* Architect and oversee efficient CI/CD pipelines built with TeamCity and GitHub Actions, ensuring seamless and automated delivery of game and service updates.\n\n* Architect and lead the development of our Python-based interactive Slack bot, ensuring scalability, robustness, and seamless integration with our internal systems and workflows.\n\n* Leverage proficiency in Bash, Python, and Kotlin to build and maintain robust automation scripts, CI/CD pipelines, and IaC configurations.\n\n* Architect and implement a robust, scalable infrastructure for game deployment using Harness, Terraform, and AWS cloud platform tools (EKS, S3, CloudFront, etc.).\n\n* Partner with cross-functional teams and engineers to streamline build and deployment processes, aligning them with business objectives.\n\n* Drive effective communication with stakeholders, providing regular updates and actionable insights into DevOps initiatives.\n\n* Proactively identify and implement innovative CI/CD and IaC tools and processes to continuously optimize workflows and efficiency.\n\n* Manage and document deployment processes and automation, fostering transparency and maintainability.\n\n* Proactively identify and implement innovative CI/CD tools and processes to continuously optimize workflows and efficiency.\n\n* Perform ongoing competitive research into industry best practices.\n\n* Mentor and guide junior team members, fostering a culture of growth and knowledge sharing.\n\n\n\n\n\nWhat you'll bring to the team: \n\n\n* Bachelor’s degree in Computer Science, Information Technology, or a related field.\n\n* 8+ years of Software Development or DevOps experience\n\n* 3+ years of experience as an engineering lead, delegating tasks to key contributors \n\n* 3+ years of experience developing and maintaining Python scripts for automation tasks, CI/CD pipelines, and API integrations\n\n* Proven success in leading multiple engineering projects from execution to completion on time and within budget\n\n* Proven expertise in predicting obstacles and creating project plans that mitigate against risk and disruption\n\n* Strong expertise in cloud platforms such as AWS.\n\n* Expert proficiency in infrastructure as code (IaC) using tools like Terraform or CloudFormation.\n\n* Proven success in leveraging containerization and orchestration tools such as Docker and Kubernetes\n\n* In-depth knowledge of CI/CD and IaC orchestration tools (TeamCity, Harness), version control systems (GitHub), and automated testing\n\n* Solid understanding of security best practices and compliance standards\n\n* Ability to effectively communicate complex, technical information to non-technical teams\n\n* Ability to independently troubleshoot and solution for common engineering challenges\n\n\n\n\nIf you gotten this far, we hope you're feeling excited about this role. Even if you don't feel you meet every single requirement, we still encourage you to apply. We're eager to meet people who believe in PlayQ's mission and can contribute to our team in a variety of ways—not just candidates who check all the boxes.\n\nWhat we can offer you:\n\n\n* Competitive compensation and equity options\n\n* Comprehensive medical, dental, vision, life, long term disability & pet insurance\n\n* Flexible time off\n\n* Unmatched learning opportunities and mission driven team\n\n* Advancement and mentorship opportunities\n\n* 401K plan with company match\n\n* Flexible Workplace: PlayQ’s workplace includes a combination of both in-office, hybrid and remote roles. Our flexible approach to the workplace experience, internal comms, and tech stack promote collaboration, communication, and camaraderie!\n\n* Brand new creative office space equipped with tons of natural light, communal areas for collaboration and free parking\n\n* Walking distance to restaurants, coffee shops, and the metro\n\n* Stocked kitchen with snacks and beverages\n\n* Monthly team building events and cross departmental lunches\n\n* Help build and support awesome GAMES. For a living! Who doesn't love games?\n\n\n\nAt PlayQ, we leverage competitive benchmarking data when setting each role’s base pay range. Individual base salary will be determined based on job-related factors which may include knowledge, skills, experience, scope of role, business need and geographic location.\nThe estimated base pay range for this role is listed below.\n$135,000-$180,000 USD\nAdditional information:\n\n* In-office location: Santa Monica, CA\n\n* This role is open to remote employees located in select US states including California, Washington, Nevada, Texas, Florida, Pennsylvania, New York and Georgia.\n\n* This role is offered as a full time position.\n\n\n\nInterested? Please get in touch! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, DevOps, Cloud, API, Mobile, Junior, Engineer and Backend 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\nSanta Monica, California, 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

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

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