HiringCafe
Save Job
Posted 1mo ago

DevOps Engineer

@ Millennium Management
View All Jobs
Miami, Florida, United States
OnsiteFull Time
Responsibilities:engaging developers, building integrations, automating deployments
Requirements Summary:BSc in CS/Engineering required; experienced with AI coding tools across the SDLC, object-oriented programming (Python/Java/Go), GitOps and GitHub Actions, cloud (AWS/GCP), containers and Kubernetes, IaC (Terraform/CloudFormation/Ansible), observability (Datadog/Elastic), on-call and Level 3 support.
Technical Tools Mentioned:Python, Java, Go, GitOps, GitHub Actions, AWS, GCP, Kubernetes, Terraform, CloudFormation, Ansible, Datadog, Elastic
Save
Mark Applied
Hide Job
Report & Hide
Job Description
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