W2 Only-Site Reliability Engineer

Position: Site Reliability Engineer

Location: O''''Fallon, Missouri - Hybrid

Duration: 12+Months with possible extensions

Rate: $60/hr on W2 all Inc. (No room in rate)

Interviews: (3 Rounds): All the interviews within one week.

Platform Reliability & Engineering:

• Ensure availability, performance, and resilience of workloads deployed on Kubernetes, On premise, PCF or Cloud platforms aligned to SLO/SLI objectives
• Design, build, and operate scalable, secure, and highly available containerized platforms and services
• Optimize capacity, performance, and cost efficiency across distributed systems

Automation, CI/CD & Release Engineering:

• Build and enhance CI/CD pipelines to enable fast, reliable, and repeatable deployments
• Automate infrastructure and operations using Infrastructure as Code and GitOps practices
• Plan and execute software releases across environments (Kubernetes, AWS, Azure, PCF, VMs)
• Drive continuous improvement in release processes, deployment strategies, and development workflows

Observability, Performance & Operations:

• Implement strong monitoring, logging, and tracing to enable proactive issue detection
• Conduct performance testing and tuning to ensure scalability and reliability
• Lead incident management, root cause analysis (RCA), and postmortems to drive continuous improvement

Experience & Skills:

• Strong experience in SRE / Release Engineering / Platform Engineering roles.
• Proven experience managing and operating workloads deployed on Kubernetes, on-premise (bare metal / VMs), and PCF, with good-to-have exposure to public cloud platforms (AWS).
• Hands-on expertise in containerization (Docker) and Kubernetes orchestration.
• Strong experience with CI/CD tools, scripting (Shell/Python/Groovy), and automation frameworks.
• Solid knowledge of monitoring, observability, performance testing, and scaling of distributed systems (e.g., Dynatrace, Splunk, JMeter, LoadRunner).
• Strong programming experience (preferably Java / Spring Boot).

Engineering Practices:

• Strong understanding of SDLC, Git-based workflows (Gitflow), and peer review practices.
• Expertise in troubleshooting and debugging (thread dumps, heap dumps, performance bottlenecks).
• Familiarity with security principles and deployment of secure systems.
• Exposure to Infrastructure as Code, DevOps, and GitOps practices.