Java Developer

• 1-hour Zoom panel interview (Behavioral Technical)

• Senior-level role working within an Agile team

• Backend-focused role (Java 70%, React 30%)
• Strong experience with Java, Spring Boot, and Kafka
• Ability to develop APIs from scratch
• AWS experience (ECS, EC2, S3, Lambda)

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

• 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.

• 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.

• 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

• 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.

• 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.

• 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.

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

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

Salary : $70 - $75