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
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Engage with our developer community with a focus on successful outcomes
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Build secure AI Dev Tools and integrations to improve the developer experience
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Automate and deploy upgrades to our DevOps platform
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Provide Level 3 technical support around our DevOps platform
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Implement best practices around security and observability of our DevOps platform
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Participate in our on-call rotation and blameless postmortem practices for incidents
Skills and Qualifications
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BSc in Computer Science, Engineering, or relevant field
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Broad experience with AI Coding Tools through all phases of the Software Development Lifecycle
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Solid programming experience in an object oriented language, preferably Python (Python, Java, Go, etc.)
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Proficient in GitOps workflows and CI tools like GitHub Actions
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Good experience running DevOps tools in the cloud (AWS preferred, GCP)
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A mastery of containers and a working knowledge of Kubernetes, including Continuous Deployment patterns
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Solid Infrastructure as Code programming experience (Terraform, CloudFormation, Ansible)
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Good knowledge of test driven development with a focus on software quality
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Experience implementing observability with DataDog and Elastic
