Senior Release Engineer - Platform & Delivery
About The Position
Our goal is to reach a state where moving from a prototype to a production-grade Pull Request takes minutes. As AI-driven development becomes our primary mode of authoring, the volume of code entering our pipelines will increase exponentially. High-velocity innovation only works when it is backed by world-class reliability and an infrastructure that can validate code as fast as an LLM can generate it. As the Senior Release Engineer, you are the architect of our delivery engine. You will define the standards for how we version, test, and deploy a distributed fleet of services in a world where code authoring is no longer the bottleneck—release and verification are. In our framework, the speed of iteration is our greatest competitive advantage. Traditional release patterns must evolve to handle the unique challenges of AI-generated code, which requires more frequent deployments, massive test volume, and highly sensitive monitoring. You will build the CI/CD systems that allow us to "fail fast" through throwaway testing and verify "gold-standard" code via automated canaries.
Requirements
- The Automation Expert: You are a Senior-level Release, DevOps, or Platform Engineer with deep experience in modern CI/CD (GitHub Actions, GitLab CI, etc.) and container orchestration (Kubernetes).
- A "Scale-First" Thinker: You understand that AI-driven code changes the math of CI/CD. You are comfortable building systems that handle 10x the typical PR volume and require massively parallel testing.
- Reliability Strategist: You have experience with advanced deployment patterns (Blue/Green, Canary, Feature Flags) and know how to automate the "Go/No-Go" decision based on real-time data.
- Rigorous & Deterministic: You are obsessed with consistency. You believe that while code generation may be probabilistic, the pipeline that delivers it must be a fortress of determinism.
Responsibilities
- Architect High-Velocity Release Pipelines: Build and maintain CI/CD infrastructure designed to handle a significant increase in code volume. Optimize for "Lead Time to Production" without sacrificing safety.
- Ephemeral & Throwaway Testing Infrastructure: Design systems for high-volume, "disposable" test suites. As AI authors code rapidly, you will provide the compute and orchestration for ephemeral environments that run thousands of tests for a single experimental PR and then vanish.
- Intelligent Canary & Progressive Rollouts: Implement automated canary strategies that use real-time health signals to gate deployments. Since AI-driven code can introduce subtle regressions, your pipelines must support granular traffic shifting and automated rollbacks based on enhanced telemetry.
- Enhanced Monitoring & Drift Detection: Partner with Ops to build a "Shift-Left" observability culture. Integrate monitoring tools that can distinguish between traditional code bugs and behavioral drift in AI-integrated services during the release phase.
- Infrastructure as Code (IaC) at Scale: Own the provisioning and management of our service fleet. Manage the scaling and resource allocation for hundreds of task-specific services using modern IaC patterns (Terraform, Pulumi, etc.).
- Reproducibility & Versioning: Ensure every deployment—and the specific AI context/logic that generated it—is 100% reproducible and auditable.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
