JD requirement
Assessment
10+ years of progressive engineering
Meets. 14+ years.
Staff/Principal leadership across teams
Moderate. Lead titles and "led modernization”, but no team size, pod scope or cross-team influence stated.
Distributed systems and fault tolerance
Good. Circuit breakers, retries, timeouts, failover, Kafka. Idempotency and consistency not explicit.
Java and Spring
Strong. Java 8/11/17, Spring Boot, Spring Cloud, Spring Security.
REST API design, versioning, compatibility
Good. OpenAPI, API versioning standards, contract-style integration.
Event-driven architecture and Kafka
Strong. Kafka, SNS/SQS, EventBridge across several roles.
PostgreSQL / SQL and data integrity
Good. PostgreSQL, Oracle, Aurora, query tuning, PL/SQL. Schema evolution and migrations not shown.
Observability (logs, metrics, traces, SLOs)
Moderate. Splunk and general logging/tracing mention. No OpenTelemetry, Prometheus, Grafana or SLOs.
Automated testing and quality
Moderate. JUnit and Mockito, regression tests in Jenkins. No contract or end-to-end tooling named.
AWS, Docker, Kubernetes, Helm, Argo CD
Strong, minus Helm. AWS (EC2, Aurora, Lambda, CloudFormation), Kubernetes, OpenShift, ArgoCD GitOps.
CI/CD and release engineering
Good. Jenkins with testing and security checks, GitOps. Rollback and progressive release strategy not described.
Legacy modernization
Good. Java 8 to 17, monolith to microservices, claims platform modernization.
AI-assisted development
Strong. Devin, Cursor and Claude, with a review and validation approach.
Strengths: the right core stack (Java, Spring, Kafka, PostgreSQL, AWS); resilience patterns and legacy modernization experience; GitOps and CI/CD with quality gates; mature, responsible AI tool use; insurance domain with complex rules.