Skip to content
StuutStuutSan Francisco, CA

Lead Site Reliability Engineer

Lead SRE driving reliability strategy, infrastructure architecture, observability, and incident response for a B2B fintech platform on AWS and Kubernetes. Requires 7+ years building production-grade distributed systems.

200k – 275k
On-site7+ YOEDevOps / SRE

About the role

What You’ll Do

  • Set the Reliability Strategy: define the long-term vision for site reliability, including SLOs/SLIs, error budgets, availability targets, and operational standards.
  • Build & Scale Reliable Infrastructure: architect and maintain resilient, scalable cloud infrastructure across AWS and Kubernetes, ensuring systems are secure, fault-tolerant, and cost-effective.
  • Own Observability & Monitoring: design and evolve monitoring, alerting, and logging systems that provide clear, actionable signals across services and environments.
  • Lead Incident Response & Postmortems: own incident management practices, lead major incident response, and drive blameless postmortems that result in meaningful system improvements.
  • Improve System Resilience: identify reliability risks and lead efforts around redundancy, failover, capacity planning, and graceful degradation.
  • Optimize CI/CD & Deployment Reliability: partner with engineering teams to ensure deployments are safe, observable, and reversible; improve rollout strategies and reduce operational risk.
  • Partner with Product & Engineering Teams: collaborate early in the development lifecycle to influence system design, scalability, and reliability tradeoffs.
  • Reduce Toil & Improve Developer Experience: automate operational tasks, improve runbooks, and build tooling that reduces manual work and accelerates safe execution.
  • Drive Root Cause Resolution: guide teams through deep debugging of reliability issues, ensuring fixes address underlying causes rather than symptoms.
  • Influence Reliability Culture: promote reliability-first thinking, strong operational hygiene, and shared ownership of production systems across engineering.
  • Mentor & Level Up the Team: coach engineers on reliability principles, incident handling, infrastructure design, and operational best practices.

You Might Be a Fit If You…

  • Have 7+ years of experience in site reliability engineering, infrastructure engineering, or backend software engineering.
  • Have designed and operated highly available, production-grade systems supporting rapid product iteration.
  • Are fluent in Python and/or TypeScript, and comfortable building automation and tooling to support reliability goals.
  • Have deep experience with AWS, Kubernetes (EKS), Docker, and cloud-native architectures.
  • Have implemented and evolved observability stacks (metrics, logs, traces) and know how to create high-signal alerting.
  • Understand how to design, measure, and enforce SLOs, SLIs, and error budgets.
  • Have supported systems built with modern stacks such as FastAPI, Vue.js, PostgreSQL (RDS), and event-driven architectures.
  • Have improved reliability and operational maturity in environments using CI/CD pipelines, infrastructure as code, and modern deployment workflows.
  • Can balance reliability, velocity, and cost — making pragmatic tradeoffs that serve customers and the business.
  • Enjoy collaborating across Product, Backend, Frontend, and Infrastructure teams to improve system health.
  • Thrive in a role that blends deep technical execution, system design, and leadership influence in a fast-moving environment.

Compensation

  • Top-of-market salary and equity package
  • Benefits (for U.S.-based full-time employees): Medical, dental & vision insurance coverage for you; 401(k) & Match; Equity; Flexible PTO; Parental Leave

Skills

PythonTypeScriptAWSKubernetesEKSDockerFastAPIVuePostgresRdsCI/CDInfrastructure As CodeObservabilitySLOsSlis

Similar roles

DevOps / SRE jobs
Decagon

Senior Software Engineer, Cloud Infrastructure

DecagonSan Francisco, CA +1

Build and operate scalable cloud infrastructure platforms, abstractions, and enterprise deployments for Decagon's agentic AI systems. Requires 4+ years in infrastructure/DevOps, deep expertise in Kubernetes, Terraform, major cloud providers, networking, and production reliability (monitoring, on-call).

200k – 400k
On-site7+ YOEDevOps / SRE
Together AI

Senior Software Engineer, Observability

Together AISan Francisco, CA

Senior Software Engineer building scalable observability platforms (metrics, logs, traces) with Prometheus, Grafana, OpenTelemetry and related tools for Together AI's GPU cloud infrastructure. Requires strong distributed systems and infrastructure-as-code experience.

200k – 280k
On-site5+ YOEDevOps / SRE
Baseten

Software Engineer

BasetenSan Francisco, CA

Lead Software Engineer building real-time observability and root-cause analysis for Baseten's large-scale GPU fabrics and high-performance networks. Requires strong distributed systems and infrastructure experience to correlate telemetry from switches, NICs, GPUs, and inference services.

200k – 380k
Hybrid7+ YOEDevOps / SRE
Snowflake

Senior Software Engineer, Accelerated Delivery

SnowflakeMenlo Park, CA

Build and evolve continuous deployment, progressive delivery, and AI-augmented release platforms for safe, large-scale multi-cloud rollouts on Kubernetes at Snowflake. Requires strong systems programming (Golang/Java/C++), Kubernetes, observability, and DevOps experience.

200k – 288k
Hybrid5+ YOEDevOps / SRE
Snowflake

Senior Software Engineer - Snowpark Container Service

SnowflakeBellevue, WA +1

Senior engineer to design, build, and lead development of Snowpark Container Services, a Kubernetes-based container compute platform. Requires 7+ years building large-scale distributed systems and strong coding skills in Java, C++, or Go.

200k – 288k
Hybrid7+ YOEDevOps / SRE