Senior Software Engineer building scalable AWS, Big Data, and ML infrastructure for Genesys’ AI - powered customer - experience platform. Leading distributed systems projects from architecture through production.
About the role
- Senior Software Engineer on the Compute Platform team at Coinbase. Designing and operating Kubernetes orchestration infrastructure to enhance scalability and reliability.
Responsibilities
- Own the design, build, and operation of Kubernetes cluster management tooling and automation that keeps our compute platform reliable and self-healing at scale.
- Build developer-facing tooling and workflows that improve how engineers across Coinbase interact with Kubernetes, with a heavy emphasis on integrating AI-driven processes and support.
- Deliver net-new compute capabilities for service owners, such as one-off jobs, cron scheduling, deployment strategies, EFS support, and automated right-sizing.
- Drive operational excellence by automating toil, reducing on-call burden, and continuously improving platform observability and incident response.
- Partner with Security, Reliability, and Observability teams to ensure the compute platform meets Coinbase's standards for security, uptime, and performance.
Requirements
- 5+ years of software engineering experience, including 3+ years building and operating Kubernetes or similar compute orchestration systems (e.g., Mesos, Nomad, ECS).
- Hands-on experience with AWS and/or GCP infrastructure services (e.g., EC2, EKS, IAM, VPC, networking) in a production environment at scale.
- Demonstrated ability to design, implement, and operate distributed infrastructure systems, including diagnosing complex failures and driving them to root-cause resolution.
- Hands-on experience with the CNCF ecosystem (e.g., Helm, Prometheus, ArgoCD, Envoy) and a track record of applying these tools to solve real infrastructure problems.
- Proven ability to apply AI tooling to infrastructure workflows, improving automation, developer productivity, or operational efficiency.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Benefits
- Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
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