Site Reliability Engineer (SRE)
Responsibilities:
• Establish measurable reliability standards for critical services by creating and maintaining service indicators, objectives, and error budget practices.
• Take ownership of production stability by monitoring uptime, latency, and availability, and driving improvements that reduce operational risk.
• Lead live incident response efforts, coordinate troubleshooting during outages, and ensure issues are resolved efficiently and thoroughly.
• Run blameless post-incident reviews, document findings clearly, and track corrective actions through completion.
• Design and enhance observability across logs, metrics, and distributed tracing using tools such as Datadog, CloudWatch, Grafana, OpenTelemetry, and Sentry.
• Improve alert quality and dashboard design so engineering teams can quickly identify meaningful system issues without unnecessary noise.
• Evaluate system behavior under load, uncover performance constraints, and recommend changes that improve scalability and resource efficiency.
• Build automation and internal tooling that streamline operational work, strengthen deployment safety, and support incident management, debugging, and capacity planning.
• Contribute to infrastructure and delivery workflows across AWS, Terraform, Ansible, Linux, and GitHub Actions with a focus on dependable releases and resilient systems.
• Partner with security and compliance stakeholders to support operational standards, audit readiness, and the integration of monitoring into broader engineering practices.
Qualifications:
• 7+ years of experience in Site Reliability Engineering, infrastructure engineering, or a closely related production environment role.• Strong background operating, supporting, and troubleshooting distributed systems at scale.
• Hands-on experience with observability platforms such as Datadog, Grafana, OpenTelemetry, CloudWatch, or similar tools.
• Proven involvement in on-call operations, incident management, and reliability-focused problem resolution.
• Practical experience defining and using SLIs, SLOs, and error budgets to guide service reliability decisions.
• Familiarity with AWS environments, including serverless and container-based architectures.
• Experience working with relational databases such as Postgres and performance analysis in production systems.
• Ability to write automation scripts or lightweight tooling in languages such as Python or Bash, with strong judgment around failure modes and system design.
Compensation
$170,000.00-$180,000.00 YearlyAbout Us
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