Sr Site Reliability Engineering Analyst

Federal Express Corporation is seeking a Senior Site Reliability Engineering Analyst to enhance system reliability and performance. This role will lead initiatives to improve observability, automation, and operational best practices while collaborating with engineering teams.

Responsibilities:

• Lead reliability and performance improvements, including capacity planning, failover strategies, and MTTA/MTTR reduction
• Develop technical solutions for complex system issues and resilience gaps
• Assess reliability risks and recommend enhancements to ensure service continuity
• Refine and promote best practices for reliability, maintainability, and scalability
• Mentor team members and provide technical guidance
• Recommend engineering improvements that drive consistency and long-term stability
• Improve monitoring, alerting, and observability to strengthen system awareness
• Support incident response and RCA activities to ensure effective resolution
• Document incident learnings and share knowledge across teams supporting Agile Release Train(s)
• Partner with development, operations, and architecture teams to integrate reliability into system design and delivery
• Reduce operational toil through automation and process optimization
• Enhance engineering workflows, CI/CD pipelines, and readiness practices
• Perform additional responsibilities as required to support organizational goals

Requirements:

• Strong written and verbal communication skills
• Ability to analyze complex technical problems and implement effective solutions
• Solid understanding of distributed systems, cloud environments, and modern application architectures
• Hands-on experience with observability platforms (Dynatrace required)
• Experience with monitoring, incident management, and RCA practices
• Ability to lead initiatives independently and collaborate across teams
• Demonstrated focus on reliability, resiliency, automation, and continuous improvement
• Development experience (e.g., Python, Java, scripting for automation)
• Cloud expertise (e.g., Azure, GCP) including deployment, architecture, and operations
• Bachelor's Degree in Computer Science, Engineering, Information Systems and/or related field or equivalent
• Five (5) or more years equivalent work experience in information technology or engineering environment
• Experience with AI/ML-powered monitoring, automation, or incident prediction
• Familiarity with SRE-aligned frameworks such as SLIs/SLOs, error budgets, and reliability patterns