Site Reliability Engineer, Consultant

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We are seeking an Experienced Site Reliability Engineer (SRE) to lead reliability, scalability, and performance initiatives across our production systems. In this role, you will blend software engineering, automation, and systems operations to ensure that our platforms are resilient, efficient, and continuously improving.

• Reliability & Uptime:
  Design and maintain systems to achieve high availability (99.9%+), scalability, and resilience.
• Monitoring & Observability:
  Build and improve monitoring stacks using tools like Prometheus, Grafana, Datadog, or New Relic.
• Automation:
  Reduce manual toil by automating deployments, scaling, and recovery processes using IaC (Terraform or Cloud Formation).
• Incident Management:
  Lead and respond to production incidents, perform root‑cause analysis, and drive postmortems and prevention strategies.
• Performance Optimization:
  Identify system bottlenecks and improve performance across compute, network, and database layers.
• Capacity Planning:
  Forecast growth, conduct load testing, and ensure services can handle future demand.
• Security & Compliance:
  Implement best practices for infrastructure security, secrets management, and compliance requirements.
• Collaborative:
  Partner with developers to embed reliability practices into the SDLC, CI/CD pipelines, and application architecture.
• Chaos Engineering:
  Design and execute chaos testing experiments to proactively identify weaknesses in distributed systems and improve overall resilience.
• Deployment Strategies:
  Implement and manage Blue/Green and Canary deployment methodologies to minimize risk and ensure safe, incremental rollouts of new features and updates.

• Education & Experience: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience);
  Master’s degree a plus. 7+ years of experience in building, supporting, and improving production systems and infrastructure.
• Cloud Platforms: Minimum 5 years of hands‑on experience with Azure, AWS, or GCP. Expertise in virtual machines, containers, cloud networking, IAM, monitoring, storage, and serverless functions. Comfortable deploying and managing cloud‑native services and infrastructure.
• Programming & Scripting: Proficiency in one or more languages such as Python, Go, Java, Bash, Power Shell, or similar. Ability to write clean, maintainable code for automation and tooling.
• Containerization & Orchestration: Experience with Kubernetes, Docker, Helm, and Open Shift. Familiarity with managing containerized applications in production environments.
• Monitoring & Observability: Knowledge of tools such as Prometheus, Grafana, Datadog, New Relic, ELK Stack, Dynatrace, Splunk, Big Panda, Solar Winds.
• CI/CD & Configuration Management: Experience with CI/CD pipelines using Jenkins, Git Hub Actions, Git Lab CI, Argo CD, Spinnaker. Familiarity with Ansible, Chef, Puppet.
• Automation & Emerging Technologies: Understanding of Agentic AI systems and automation frameworks for incident response and infrastructure optimization. Interest in intelligent automation to improve reliability and reduce manual toil.
• Testing & Deployment Expertise: Experience with chaos engineering tools (Gremlin, Chaos Monkey). Knowledge of Blue/Green and Canary deployment strategies in cloud‑native environments.

Seniority Level: Mid‑Senior level.

Employment Type:

Full‑time.

Job Function:
Engineering and Information Technology.

Industry: Insurance.

Physical Requirements:

Office Environment – roles involve a part‑to‑full‑time schedule. Based in our physical offices and work‑from‑home desk‑work. Activity level:
Sedentary, most of the work day.

Equal Employment Opportunity:
External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State, and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.