Supports the resilience and observability of Workplace Investment applications at Fidelity. Involves hands-on development, collaboration, and proactive issue resolution in test environments.
Responsibilities
Support the resilience and observability of Workplace Investment (WI) applications across pre-production and non-production test environments
Involves hands-on technical development and partnership, cross-functional collaboration, and a strong focus on proactive issue resolution and environmental stability
Drive monitoring initiatives across WI product lines—including Health Care (HC) and Stock Plan Services (SPS)
Work closely with development, engineering, and operations teams to identify and address root causes
Include regular reporting to leadership and partnership with Enterprise Infrastructure (EI) to align monitoring practices with production standards
Requirements
Bachelor's or master's degree in computer science, Software Engineering, or a related technical field
9+ years of experience supporting and operating complex, large scale production environments
Deep technical expertise and extensive hands-on experience with monitoring and observability platforms, including CloudWatch, Datadog, Splunk, and the ELK stack
Strong proficiency in distributed systems and technologies, including Java, Python, and cloud platforms such as AWS and/or Azure
Experience working with both batch processing and online transaction processing (OLTP) applications
Proven hands-on experience with CI/CD and DevOps tooling, including GitHub, Jenkins, Concourse, Ansible, Maven, JUnit, Docker, JMeter, Artifactory, Sonar, Veracode, Kubernetes, and UDeploy
Practical experience with container orchestration platforms, including Kubernetes, AKS, EKS, and ECS
Collaborates effectively with operations teams and business stakeholders to improve stability, reliability, and performance
Benefits
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F)
Commitment to driving innovation, improving operational efficiency, and enhancing customer experience
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