Senior Site Reliability Engineer
Senior Site Reliability Engineer responsible for operating and improving large-scale, FedRAMP-compliant cloud services through automation, observability, incident response, and platform engineering. Requires strong Kubernetes, cloud infrastructure, software engineering, and reliability engineering expertise.
About the job
Responsibilities
Reliability & Operations
- Design, build, and operate large-scale cloud infrastructure and production services.
- Participate in a global on-call rotation and incident response for highly available, customer-facing systems.
- Lead post-incident reviews focused on systemic improvements.
- Define, measure, and improve SLIs, SLOs, error budgets, availability, scalability, performance, and resilience.
- Maintain FedRAMP compliance, security controls, and continuous audit readiness.
- Improve observability through metrics, logging, tracing, dashboards, and alerting.
Engineering & Automation
- Develop software, automation, and infrastructure using Go, Python, Terraform, and related technologies.
- Eliminate operational toil through automation, tooling, and platform engineering.
- Improve deployment safety and workflows through CI/CD and GitOps practices.
- Modernize workloads and build self-service platforms, operational guardrails, and developer tooling.
Collaboration & Technical Contribution
- Support reliability initiatives spanning multiple engineering teams.
- Guide engineers in operational best practices and reliability engineering principles.
- Mentor junior and mid-level engineers, conduct code reviews, and provide operational guidance.
- Contribute to architecture and operational decisions through data-driven recommendations.
- Drive projects from conception through production rollout and long-term operational ownership.
Requirements
- Experience operating large-scale production services in AWS and/or GCP.
- Deep production experience with Linux and Kubernetes, including networking, storage, scheduling, scaling, and workload lifecycle troubleshooting.
- Extensive experience with Infrastructure as Code, including Terraform and Helm.
- Strong software engineering skills in Go and/or Python.
- Experience building automation and internal engineering platforms.
- Experience operating distributed data platforms such as PostgreSQL, Redis, OpenSearch, MySQL, or Cassandra.
- Strong understanding of cloud networking, DNS, load balancing, ingress, TLS, service networking, and traffic management.
- Experience with observability platforms, monitoring strategies, and production telemetry.
- Experience operating customer-facing systems subject to SLAs and leading incident response.
- Understanding of SLIs, SLOs, error budgets, capacity planning, CI/CD, deployment strategies, and automation-first operations.
- Understanding of cloud security, IAM, secrets management, and secure infrastructure design.
- US Person status (US citizen or Green Card holder) to support US FedRAMP projects.
- Strong collaboration, communication, mentoring, and technical leadership skills.
Preferred Qualifications
- Experience with FedRAMP, SOC 2, HIPAA, or other compliance standards in regulated or government cloud environments.
- Experience operating SaaS platforms serving large-scale workloads.
- Experience with Kubernetes-based microservices and globally distributed production environments.
- Experience with GitOps and ArgoCD.
- Experience applying AI-assisted engineering or operational automation.
Technology Stack
- Kubernetes (EKS/GKE)
- Terraform
- Helm
- Git
- ArgoCD
- GitOps
- Go
- Python
- Rust
- Datadog
- Splunk
- Grafana
- PostgreSQL
- Redis
- OpenSearch
- Snowflake
Compensation
- San Francisco Bay Area annual base salary: $165,000–$227,000 USD.
- California outside the San Francisco Bay Area, Colorado, Illinois, New York, and Washington annual base salary: $147,000–$202,000 USD.
- Compensation may also include equity, bonus, and benefits such as health, dental and vision insurance, 401(k), flexible spending accounts, PTO, and parental leave.
Skills
AWS, GCP, Linux, Kubernetes, Terraform, Helm, Go, Python, Rust, Argo CD, GitOps, Datadog, Splunk, Grafana, Postgres
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