Embed SRE and production engineering principles into Payments Modernization from design through early life support
Define and validate non-functional requirements (NFRs) covering resilience, scalability, observability, recovery, and operability
Drive replay, retry, and exception-handling validation for event-driven payment flows
Own Permit-to-Operate readiness across environments (NFR Testing)
Define cutover, shadow support, and early life support models
Ensure runbooks, support procedures, on-call readiness, and escalation paths are production-grade before go-live
Implement end-to-end observability across Kafka, MongoDB, API layers, and downstream payment components
Design and execute controlled failure testing (chaos engineering) to validate recovery patterns and blast radius

Requirements

4+ years of Systems Engineering, Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of application support experience
2+ years of Application Frameworks experience in Spring Boot, Spring WebFlux, etc.
2+ years of Data Stores & Caching experience with MongoDB, Redis
2+ years of Platform experience in Kubernetes / container orchestration
2+ years of CI/CD & Automation experience in Progressive delivery, automated rollback, reliability-as-code concepts
2+ years of Resilience experience with Resilience4J, retry/replay patterns (Desired Qualification)
2+ years Observability: Distributed tracing, metrics, logging, SLO tooling (Desired Qualification)
2+ years Testing & Resilience Validation: BlazeMeter, Chaos Monkey (Desired Qualification)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Systems EngineeringTechnology ArchitectureApplication SupportApplication FrameworksSpring BootSpring WebFluxData StoresMongoDBRedisKubernetes

communicationproblem-solvingcollaborationleadershiporganizational skills