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Hedge Funds
AI DevOps Engineer
at Millennium
Mid LevelNo visa sponsorshipAWS/GCP/Azure DevOps
Posted 4 hours ago
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- Compensation
- Not specified
- City
- Not specified
- Country
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Currency: Not specified
Join the Core DevOps Team to improve AI-centric developer experience by building and automating SDLC capabilities and AI-focused tooling. You will deploy and maintain the DevOps platform, provide L3 support, participate in on-call rotations, and implement security and observability best practices.
AI DevOps Engineer
In the Core DevOps Team, the developer experience is at the forefront of everything we do. To expand our capabilities and enhance the AI-centric developer experience we are growing our team, looking for an experienced AI DevOps Engineer. This person will be responsible for delivering key SDLC capabilities that enable a successful DevOps platform, deploying product updates through automation, identifying and resolving production issues within the platform, and implementing AI-focused integrations to enhance the developer experience. If you have a solid background in AI DevOps, SRE, or Software Engineering with a passion for DevOps, then we would love to speak with you!
Principal Responsibilities
- Engage with our developer community with a focus on successful outcomes
- Build secure AI Dev Tools and integrations to improve the developer experience
- Automate and deploy upgrades to our DevOps platform
- Provide Level 3 technical support around our DevOps platform
- Implement best practices around security and observability of our DevOps platform
- Participate in our on-call rotation and blameless postmortem practices for incidents
Skills and Qualifications
- BSc in Computer Science, Engineering, or relevant field
- Broad experience with AI Coding Tools through all phases of the Software Development Lifecycle
- Solid programming experience in an object oriented language, preferably Python (Python, Java, Go, etc.)
- Proficient in GitOps workflows and CI tools like GitHub Actions
- Good experience running DevOps tools in the cloud (AWS preferred, GCP)
- A mastery of containers and a working knowledge of Kubernetes, including Continuous Deployment patterns
- Solid Infrastructure as Code programming experience (Terraform, CloudFormation, Ansible)
- Good knowledge of test driven development with a focus on software quality
- Experience implementing observability with DataDog and Elastic
