Job Description:

Backend (Java/Spring Boot) expert:

Java: strong OOP + functional style, concurrency, collections, memory/perf awareness; can read thread dumps/heap dumps and profile hotspots.
Kafka: Experience designing, building, and operating Kafka-based event streaming platforms topics/partitions, producers/consumers, consumer groups, schema/serialization (Avro), Kafka Connect/Streams, security (ACLs/TLS), monitoring and tuning
Spring Boot: controllers/validation, exception handling, interceptors/filters, content negotiation, file upload/streaming, async request handling where needed.
Spring Data/JPA: entity modeling, transactions, isolation levels, pagination, query tuning; handles N+1/fetch strategy issues; sensible use of projections vs entities.
Spring Security: OAuth2/OIDC integration patterns, method-level security, custom auth filters, CORS/CSRF, secure session/token handling.
API design: OpenAPI-first mindset, versioning strategy, idempotency, consistent error schema, backward compatibility.
Integration: consuming/producing APIs, resilient client patterns (timeouts, retries, circuit breaker), request signing if applicable.
Build/deps: Photon/Maven/Gradle, BOMs, dependency hygiene, vulnerability remediation workflow.

Frontend (React) strong:

React + TypeScript: component design, hooks, state management, form handling, routing.
UI quality: accessibility basics, performance, error boundaries, loading states.
API integration: robust data fetching/caching, pagination/infinite scroll, optimistic updates, consistent client-side error handling.
Testing: React Testing Library; e2e basics with Cypress/Playwright.

AWS and runtime strong hands-on:

Identity and access: IAM roles/policies, least privilege, cross-account basics, secrets management patterns.
Infrastructure as Code: Terraform or CloudFormation/CDK (one strongly); environment promotion strategy (dev/test/prod), parameterization, drift awareness.
Containerization: Docker images, health checks, resource limits, multi-stage builds.
Core AWS fluency (expected to have shipped production workloads):
Compute: ECS and EC2 autoscaling concepts
Networking: VPC, subnets, security groups, NACL basics, private vs public connectivity
Storage/data: S3; RDS/Aurora Postgress fundamentals; DynamoDB awareness even if not primary
Integration: SQS/SNS
Observability: Splunk and CloudWatch logs/metrics/alarms, log retention, dashboards

Data and persistence advanced:

SQL: indexes, query plans, joins, transaction semantics; can tune slow query issues end-to-end (app + DB).
Migrations: Flyway/Liquibase discipline; zero-downtime schema evolution patterns.
Caching: Redis (ElastiCache) usage patterns, TTL design, cache stampede prevention, invalidation strategy.

Observability and production excellence expert:

Structured logging with correlation IDs; PII redaction discipline.
Metrics + SLO thinking: latency/error rate saturation signals; actionable alarms (not noise).
Tracing: Open Telemetry
Operability: runbooks, on-call readiness, meaningful postmortems with preventative actions.

Testing and quality expert:

Backend: JUnit5, Mockito, Spring test slices, Test containers; contract tests (Pact) preferred for service-to-service APIs.
Performance: basic load testing and interpreting results; capacity and tuning recommendations.
Security: SAST/dependency scans; remediates CVEs quickly and safely.

Security (practical, senior-level) non-negotiable:

Additional Skills:

Full Stack Java Developer with Spring Batch, AWS(ECS, S3, Lambda), Infrastructure, Aurora Postgres DB, Kafka excellent communication.

Senior Java full stack developer

Key skills