Site Reliability Engineer
New
M
MyFitnessPalFitness technology
Remote - USFull-TimeSenior
Salary$120,000 - $160,000
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Job Details
- Experience
- 5+ years in site reliability, platform, or infrastructure engineering
- Required Skills
- AWSPythonKubernetesTypeScriptGoCI/CDTerraformDatadog
Requirements
- Have 5+ years of experience in site reliability, platform, or infrastructure engineering, with senior-level ownership of production systems.
- Bring strong programming skills for automation and tooling in Go, Python, TypeScript, or similar; experience should include building software or custom tooling.
- Have hands-on experience with a major cloud platform, Kubernetes, and Infrastructure as Code.
- Have a track record leading incident response and building SLO-driven reliability practices.
- Have working fluency with observability tooling.
- Have practical experience integrating security into CI/CD pipelines, including SAST/DAST/SCA tooling, dependency scanning, or policy-as-code.
- Understand cloud security fundamentals, including identity/IAM, least-privilege patterns, policy/guardrails, and secrets management.
- Have experience raising security or reliability findings and working with senior engineers to resolve them.
- Experience with admission-time policy-as-code frameworks such as Kyverno, OPA/Rego, or Conftest is a plus.
- Exposure to SOC 2, PCI DSS, or HIPAA environments is a plus.
- Chaos engineering or game-day experience is a plus.
- Experience supporting high-traffic B2C/mobile backend environments is a plus.
Responsibilities
- Own and evolve SLI/SLO and error-budget frameworks to influence prioritization and product decisions.
- Lead incident response, drive postmortems, and turn findings into systemic fixes.
- Build and maintain observability across metrics, logs, and traces using Datadog.
- Design and operate resilient, scalable infrastructure using Terraform.
- Manage production Kubernetes and container workloads, including capacity planning and cloud-cost optimization.
- Own CI/CD pipelines and safe deployment strategies, including canary and progressive rollouts and fast rollback.
- Integrate and tune SAST, DAST, and SCA scanning in the delivery pipeline.
- Implement and maintain policy-as-code to block unsafe infrastructure and Kubernetes changes at admission time.
- Drive vulnerability triage and remediation SLAs for pipeline- and infrastructure-level findings.
- Improve the on-call rotation and build runbooks and automation; coach engineers on reliability and operational practices.
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