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Senior DevOps Engineer

About Robin AI

Robin AI is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 3 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.

About the role

At Robin AI, we bring together amazing people in engineering, AI and the law to create groundbreaking products that are transforming legal teams. Our current product blends traditional engineering, neural networks and LLMs to read and comprehend written contracts, assess whether they adhere to our customers’ preferred positions and automatically amends them. But our ambitions go way beyond reviewing contracts; we want to build technology that changes the way people and companies all over the world engage with legal services.

Our product and usage is growing quickly. You will play a critical role solving novel architecture and scale problems, as we release never seen before ML-powered solutions to users around the world.

Our Tech Stack

Our frontend is built using React and Apollo, and we use Python web frameworks, such as Django and Flask, to implement our back-end microservices, alongside various other services and libraries such as Celery and Elasticsearch to glue everything together. Everything runs on AWS services, including but not limited to ECS, Lambda, MQ, Sagemaker and Bedrock. We use CircleCI to build and deploy, and all of our infrastructure is managed using Terraform. Our agents are orchestrated with LangGraph and run at scale using a proprietary model inference service.

What You’ll do

  • Architect and implement containerised cloud infrastructure, primarily in AWS.

  • Work closely with product, AI and ML teams to be part of delivering a cutting edge product.

  • Create strategies to debug and prevent common production issues to ensure service stability.

  • Design and build automated CI/CD pipelines to deliver better software faster to our users.

  • Champion infrastructure-as-code practices using tools like Terraform.

  • Stay up-to-date with emerging technologies and best practices in DevOps and MLOps.

Preferred Qualifications

  • Strong expertise with AWS and their associated services. Experience with Azure or GCP would also be helpful.

  • Experience with MLOps and Agent observability solutions (such as Langsmith or Agentops) is a plus.

  • Proficiency in Infrastructure as Code (IaC) tools like Terraform.

  • Experience with containerised solutions (e.g. Docker and ECS)

  • Deep understanding of CI/CD principles, ideally with CircleCI

  • Strong scripting skills (e.g. Python).

  • Familiarity with security best practices and compliance frameworks.

  • Experience with SIEM/Logging tools (e.g. Datadog/Splunk)

Compensation at Robin AI

  • Salary: $170,000 - $200,000k

  • Generous Equity package: When you help build Robin AI, everyone deserves to be an owner.

  • Please Note: If your salary expectations look a little different to that outlined, we’d still be keen to hear from you if this is a role that excites you.

  • Hybrid schedule: We offer a flexible working schedule. #LI-HYBRID

  • Equity package: Generous equity scheme - everyone gets to be an owner of Robin AI!

  • Annual leave: 15 days PTO, in addition to the public holidays observed in the USA.

  • Health: Medical, dental, and vision coverage.

  • 401k retirement.

  • Growth opportunities: We prioritise promotions for high performers and help you to progress your career.

What’s it like working at Robin AI?

Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you're encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you're at our headquarters or one of our worldwide offices, you'll find a world of opportunities to grow, thrive, and make a meaningful impact.

Diversity, Equity and Inclusion at Robin AI

We are committed to building one of the most diverse technology companies in the world. As of 2024, more than 30% of our employees come from ethnic minority backgrounds, and 51% of roles are held by women. We know that transforming the legal industry requires diverse perspectives, so we're creating an environment where innovation thrives through inclusion.

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CEO of Robin AI
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Average salary estimate

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$200000K

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What You Should Know About Senior DevOps Engineer, Robin AI

Are you a talented Senior DevOps Engineer looking to join an innovative company on a mission to transform the legal industry? Look no further than Robin AI! Based in New York, we are pioneering the use of Legal AI to make contracts simple and accessible for everyone. As a part of our team, you'll collaborate with exceptional professionals in engineering, AI, and law to develop our groundbreaking products. You'll be tasked with architecting and implementing containerized cloud infrastructure on AWS, while ensuring service stability through smart debugging strategies. Your expertise will guide the design and build of automated CI/CD pipelines, allowing us to deliver quality software faster to our users. We work within a modern tech stack that consists of React, Python frameworks—like Django and Flask—and utilizes AWS services such as ECS and Lambda, all meticulously managed with Terraform. If you're passionate about staying updated with emerging technologies and best practices in DevOps and MLOps, this is the perfect opportunity for you. We're not just looking for technical skills; we want individuals who can think big and drive innovation forward. At Robin AI, we offer a hybrid work environment, generous equity participation, and a commitment to professional growth. Join us, and let's redefine the way the world interacts with legal services together.

Frequently Asked Questions (FAQs) for Senior DevOps Engineer Role at Robin AI
What are the main responsibilities of a Senior DevOps Engineer at Robin AI?

As a Senior DevOps Engineer at Robin AI, you will be responsible for architecting and implementing containerized cloud infrastructure primarily in AWS, collaborating closely with product, AI, and ML teams to deliver cutting-edge technology. Your role will also involve creating strategies to debug common production issues, designing automated CI/CD pipelines, and championing infrastructure-as-code practices using tools like Terraform.

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What qualifications are preferred for the Senior DevOps Engineer position at Robin AI?

Robin AI prefers candidates with strong expertise in AWS services and familiarity with Azure or GCP, along with experience in MLOps and agent observability solutions. Proficiency in Infrastructure as Code (IaC) tools like Terraform, experience with containerized solutions (e.g., Docker, ECS), and a deep understanding of CI/CD principles, particularly CircleCI, are also beneficial.

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What technologies will I be working with as a Senior DevOps Engineer at Robin AI?

The tech stack at Robin AI is modern and diverse. You'll work with frontend technologies like React and Apollo, back-end frameworks such as Django and Flask, and AWS services including ECS, Lambda, Sagemaker, and Bedrock. You'll also engage with CI/CD tools like CircleCI and utilize Terraform for infrastructure management.

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Is there potential for career growth in the Senior DevOps Engineer role at Robin AI?

Absolutely! Robin AI prioritizes promotions for high performers and actively supports your career development. You'll have opportunities to grow your skills, advance in your career, and contribute significantly to the transformation of the legal industry.

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What benefits and compensation can I expect as a Senior DevOps Engineer at Robin AI?

As a Senior DevOps Engineer at Robin AI, you can expect a competitive salary ranging from $170,000 to $200,000, along with a generous equity package that ensures all employees are owners of the company's success. Other benefits include flexible hybrid work schedules, 15 days of PTO, health coverage, and a 401k retirement plan.

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Common Interview Questions for Senior DevOps Engineer
Can you describe your experience with AWS as it relates to the Senior DevOps Engineer role?

When answering this question, focus on specific AWS services you have utilized in the past, detailing how they have improved your team’s infrastructure or operations. Mention any architectural strategies you employed and any challenges you overcame using AWS.

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How do you ensure the stability of production services?

Discuss your approach to monitoring, alerting, and debugging common production issues. Highlight tools you use for observability and the role of collaboration with other teams in identifying and implementing preventive measures.

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What is your experience with CI/CD pipelines?

Share specific examples of CI/CD pipelines you've built or improved and the impact those changes had on the team's software delivery process. Emphasize the tools and best practices you employed to ensure efficiency and quality.

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How do you handle system failures or outages?

Outline a systematic approach you follow during outages, including steps taken for diagnosis, communication, and resolution. Emphasize the importance of post-incident reviews to prevent future occurrences.

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What tools do you use for Infrastructure as Code (IaC)?

Talk about your hands-on experience using Terraform or similar IaC tools. Provide examples of how IaC has helped improve deployment times and reduce human error in your previous projects.

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How do you stay updated with emerging technologies and best practices in DevOps?

Mention the resources you rely on, including blogs, online communities, webinars, and conferences. Describe how you implement new learnings into your work, contributing to innovation within your team.

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Can you explain the importance of security in DevOps?

Discuss how integrating security practices into the DevOps lifecycle (DevSecOps) is critical. Highlight specific practices you've implemented in your previous roles to ensure compliance and protect data integrity.

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What is your experience with containerized solutions?

Provide examples of projects where you implemented containerization using Docker or ECS, discussing the advantages you experienced, such as scalability, efficiency, and development workflow enhancements.

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Describe a time when you had to work closely with product and AI teams.

Illustrate your collaborative efforts with product and AI teams on a specific project, emphasizing the importance of cross-functional teamwork to achieve shared goals and deliver impactful solutions.

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What metrics do you prefer to track in a DevOps environment?

Discuss specific key performance indicators (KPIs) that you track, such as deployment frequency, change lead time, mean time to recovery, and changes in failure rate. Explain why these metrics are important for evaluating the success of your DevOps practices.

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We're in a race to build the world's most capable legal AI assistant. Rapid developments in the capability of AI systems have driven a wave of investment and interest in legal AI: we believe we're best position to win that race because we have be...

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Full-time, hybrid
DATE POSTED
December 13, 2024

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