Senior Site Reliability Engineer

About Blitzy

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Location: Cambridge, MA — Kendall Square HQ (In-Office)

Salary: $160,000 - $200,000

The Role

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.

What Success Looks Like

• Blitzy's platform maintains industry-leading uptime — incidents are rare, and when they occur, they are resolved quickly with clear root cause analysis and lasting fixes.
• SLOs and error budgets are defined for every critical service and actively used to drive engineering decisions, not just tracked passively.
• Observability is a first-class capability — engineers across the company have the dashboards, traces, and alerts they need to understand system behavior without asking SRE.
• Deployment pipelines are fast, safe, and reliable — releases go out with confidence and rollbacks are automated when something goes wrong.
• Infrastructure is entirely codified — no manual provisioning, no configuration drift, every environment reproducible from source.
• Engineering teams are more productive because of your work — platform friction is low, developer tooling is sharp, and SRE is seen as an accelerant, not a gatekeeper.
• You are a trusted technical leader at HQ, influencing how Blitzy thinks about reliability as we scale our platform and our team.

Areas of Ownership

• 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.

Required Experience

• 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.
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