Site Reliability Engineer

• Establish and improve SLOs, SLIs, and SLAs across services; partner with engineering teams to embed reliability targets into product designs.

• Build and evolve monitoring, alerting, and tracing systems to ensure rapid detection and resolution of issues.

• Develop incident response processes, oncall rotations, and postmortem practices that drive continuous improvement.

• Implement automation for deployment pipelines, failover, scaling, and capacity planning to reduce manual operations and error risk.

• Champion security and compliancedriven infrastructure, including secrets management, secure networking, and audit readiness.

• Collaborate on disaster recovery strategies and resilience testing (chaos engineering, load testing, rolling updates, blue/green deployments).

• Partner with developers to identify performance bottlenecks, optimize services, and reduce infrastructure costs.

• Contribute to internal tooling and developer experience to accelerate safe delivery of features in production.

• 5+ years in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles for distributed systems at scale.

• Deep expertise with Kubernetes, container orchestration, and service meshes in production environments.

• Strong skills in observability tooling (Prometheus, Grafana, OpenTelemetry, etc.) and incident management systems.

• Experience designing HA/DR architectures, managing multiregion deployments, and optimizing for lowlatency traffic flows.

• Proficiency with cloud platforms (AWS/GCP/Azure) and infrastructureascode (Terraform, Helm).

• Security and compliance mindset, comfortable with regulated environments (HIPAA/GDPR) and auditing requirements.

• Excellent crossfunctional communication and collaboration skills.

PREFERRED QUALIFICATIONS

• Experience with streaming/messaging systems (Kafka, RabbitMQ) in production.

• Background in digital health, IoT, or other missioncritical data platforms.

• Familiarity with chaos engineering tools and costoptimization strategies for global cloud services.

• Development experience in a modern backend language (Java, Kotlin, Go, Python) for tooling and automation.