Senior Site Reliability Engineer

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position

The Role

Our Site Reliability Engineering group within Enterprise Infrastructure combines Operations Excellence with the Development Experience to deliver services at high scale, high availability with resilience by using automation and Infrastructure Code. We build reliability into our ecosystem by applying best practices in Resiliency Engineering, Automation, Observability, Performance testing and Chaos testing.

The team comes from diverse technical backgrounds, and the responsibilities provide the opportunity for a variety of challenges. Ideal candidates will have a background in either software engineering or systems engineering with a desire to learn the other or previous experience as an SRE. We are looking for a Systems Thinking, SRE Engineer who has helped teams scale through production insights, operational automation, developer guidance, real-time metrics, automation.

The Expertise and Skills You Bring

• Bachelor's degree or higher in a technology related field (e.g. Engineering, Computer Science, etc.) required, master's degree is a plus.
• Minimum 5 years of hands-on experience deploying and/or supporting highly distributed multi-tiered systems at a scale.
• 3 plus years of experience in Cloud development (AWS) and migration skills; Experience with building and operating highly resilient platforms in AWS cloud environments.
• 3-5 years of experience in software development with Python, NodeJS, or Java with a focus on SDLC and automation
• Ensure platforms meet high availability, scalability, fault tolerance, and disaster recovery requirements.
• Hands on experience with one or more observability tools (Datadog, Splunk, Kibana, Prometheus, Grafana, ELK/OpenSearch, Open Telemetry).
• Hands on experience in designing, developing, and executing performance tests using K6/JMeter and other performance testing tools to ensure comprehensive performance testing.
• Define Performance Test Strategy Document: set approach, metrics, benchmarks, baseline, user response requirements environments, technical environment and data conditions, and toolsets to use in executing the performance testing.
• Experience in performance testing types: Load testing, Stress testing, Scalability testing, Spike testing, Volume testing, Chaos testing, Endurance/Soak testing
• Hands-on experience with container orchestration, preferably with Kubernetes
• Experience identifying memory leakage, connection issues and throughput bottlenecks in various technologies such as web application(s), infrastructure, and Cloud.
• Strong knowledge of CI/CD pipelines and DevOps practices.
• Familiarity with chaos engineering and resilience testing tools (e.g., Chaos Monkey, Gremlin).
• Experience working in high-availability, large-scale production environments.
• Strong programming/scripting skills in one or more:

• Python, Java, Go, or Bash