Senior Java Consultant; W2

• Strong experience with Java, Spring Boot, and Kafka
• Ability to develop APIs from scratch
• AWS experience (ECS, EC2, S3, Lambda)

Job Description:

• Java Full Stack - (Hands-on IC, 7 plus years) Spring + React + AWS + Kafka

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.
• Build/deps:
  Photon/Maven/Gradle, BOMs, dependency hygiene, vulnerability remediation workflow.

Frontend (React) strong:

• 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 Cloud Formation/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 Cloud Watch 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).
• Caching:
  Redis (Elasti Cache) 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).
• 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:

• AuthZ: RBAC/ABAC concepts; least privilege both in app and AWS IAM.
• Secrets: no secrets in code/logs; uses managed secrets and rotation patterns.

Additional Skills:

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