Senior Site Reliability Engineer
About The Position
As a Senior Site Reliability Engineer at Blitzy's Kendall Square headquarters, you will be a foundational force behind the reliability, scalability, and operational excellence of our AI-powered software development platform. Sitting at the intersection of software engineering and infrastructure, you'll ensure that the systems enabling enterprise customers to autonomously build production-ready software remain performant, resilient, and always available. This is a high-ownership, high-impact role for an engineer who operates with urgency, thinks in systems, and takes pride in building infrastructure that doesn't break.
Requirements
- 5–8 years of experience in Site Reliability Engineering, DevOps, or Platform Engineering.
- Deep expertise in Kubernetes — cluster management, workload deployment, scaling strategies, and troubleshooting in production.
- Strong proficiency with at least one major cloud platform (AWS preferred); experience designing and operating distributed, high-availability systems.
- Hands-on Terraform experience for infrastructure-as-code provisioning and management.
- Proven ability to define and operationalize SLOs, SLAs, and incident response processes.
- Strong scripting and automation skills in Python, Go, or Bash.
- Experience designing and maintaining comprehensive observability systems across complex, multi-service environments.
- Excellent cross-functional communication skills — able to partner with software engineers, product teams, and leadership equally well.
Nice To Haves
- Experience operating infrastructure for AI or ML workloads, including GPU scheduling or model serving infrastructure.
- Familiarity with MLOps tooling (MLflow, Kubeflow, or similar) and the operational challenges unique to AI-driven services.
- Knowledge of service mesh technologies (Istio, Linkerd) and advanced networking patterns.
- CKA (Certified Kubernetes Administrator) certification or equivalent demonstrated expertise.
- Prior experience at a high-growth startup where you built reliability foundations from the ground up.
- A track record of influencing engineering culture — not just fixing infrastructure, but raising the bar for how teams think about reliability.
Responsibilities
- Design, build, and operate highly available, fault-tolerant infrastructure across cloud environments supporting Blitzy's AI platform and enterprise customers.
- Define and own SLOs, SLAs, and error budgets for critical services; lead blameless postmortems and drive systemic improvements that prevent recurrence.
- Build and maintain robust CI/CD pipelines, release automation, and deployment infrastructure that empower engineers to ship with speed and safety.
- Own the full observability stack — logging, metrics, distributed tracing, and alerting (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
- Manage Kubernetes clusters and container infrastructure supporting AI agent workloads and production application services.
- Drive infrastructure-as-code practices using Terraform; ensure all provisioning is automated, auditable, and version-controlled.
- Partner with engineering teams at HQ to embed reliability and operational best practices early in the development lifecycle.
- Lead capacity planning, performance benchmarking, and cloud cost optimization as the platform scales.
Benefits
- Meaningful equity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
