3 months ago
Cambridge, MA, USASenior
Base Salary
$85k - $180k/yr
Responsibilities
- Build, manage, and scale Kubernetes clusters for AI agent workloads and production application deployments.
- Design and implement CI/CD pipelines for application services and AI-driven workflows.
- Automate infrastructure provisioning, scaling, and operations using Python and Terraform.
- Deploy and maintain applications with Helm charts across environments.
- Own alerting, distributed tracing, and monitoring for production services and APIs.
- Build infrastructure for reliable, high-throughput AI agent orchestration.
- Partner with engineering teams to improve developer experience, deployment strategies, and operational tooling.
- Continuously improve the security, reliability, and cost efficiency of cloud environments.
Requirements
- 5+ years of DevOps or infrastructure engineering experience in production environments.
- Deep expertise in Kubernetes deployment, scaling, networking, and troubleshooting.
- Strong Python proficiency for automation, scripting, and tooling.
- Hands-on experience with Helm for application package management.
- Proven experience designing and maintaining CI/CD pipelines.
- Experience with AWS, Azure, or GCP.
- Proficiency with Terraform for infrastructure as code.
- Strong Linux administration and Docker containerization skills.
- Interest in AI infrastructure and building systems at the frontier of technical capability.
Benefits
- Base salary range of $85,000-$180,000 plus bonus and equity.
- In-person work based at the Cambridge, Massachusetts headquarters.
- Equal opportunity workplace committed to diversity and inclusion.
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