AI DevOps Engineer.Millennium Management • Miami, Florida, US of America

AI DevOps Engineer.

Millennium Management • Miami, Florida, US of America

[job_card.30_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

AI DevOps EngineerIn 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

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