Principle SRE Engineer

Job Title

Key Responsibilities

• Perform SRE operations for distributed systems, ensuring high availability, reliability, and operational excellence.
• AI in SRE
• Partner with application/domain teams to strengthen their SRE maturity and operational readiness.
• Write automation, scripts, and REST APIs to integrate with external systems and eliminate repetitive tasks.
• Onboard services to Dynatrace/observability platforms; define dashboards, alerts, SLIs, SLOs.
• Architect and implement resiliency patterns including failover strategies, circuit breakers, graceful degradation.
• Drive cost optimization (Fin Ops) initiatives across cloud workloads.
• Support AWS (or other cloud platforms) operations and engineering needs.
• Work with ROSA/container platforms for deployment, scaling, and reliability.
• Recommend improvements in technology, architecture, and domain-specific reliability areas.
• Manage and support large-scale systems operating at scale.
• Reduce toil by identifying repetitive tasks and automating them.
• Contribute code, read/interpret service repositories, and assist teams with engineering tasks as needed.

Required Skills & Experience

• Strong background in SRE operations for distributed systems.
• Proficiency in development/coding (Python, Go, shell scripting, or similar).
• Ability to read/interpret codebases and build REST APIs.
• Experience with Dynatrace/observability onboarding and ecosystem.
• Deep knowledge of resiliency engineering and failover strategies.
• Strong understanding of Fin Ops principles and cloud cost optimization.
• Hands-on experience with AWS or any other cloud provider.
• Experience with ROSA or Kubernetes-based container platforms.
• Proven automation skills to eliminate operational toil.
• Experience managing large-scale systems in production.
• Capability to suggest architecture and domain improvements.
• Strong analytical, troubleshooting, and collaboration skills.