Sr Full Stack Developer AWS - Advanced - Columbus, OH - Information Technology - Analysts

We are Looking for a Sr Full Stack Developer with AWS
- Advanced
- Columbus, OH

Position Type: Contract to Hire

Duration: 6+ Months

Java Full Stack - (Hands-on IC, 7+ yrs) Spring + React + AWS + Kafka
Must Have:

• Java/Spring Boot/Microservices/API/Kafka + AWS – MUST HAVE
• There is a small front end built in React – 10% front end would be perfect
• Will be working with S3/Lambdas/ECS clusters/EC2 – Must have
• Will be using Docker/Kubernetes to work within ECS – Must have
• Will need to be strong in building API’s from scratch
• No existing code or API’s – Will all be new from scratch
• Looking for someone Sr, can work on their own, confident, good communication skills
• Group is using Splunk/Dynatrace/Grafana – big plus
• 8+ years experience preferred

1) 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 & 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.

2) 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.
• 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 & Cloud Watch logs/metrics/alarms, log retention, dashboards
• Identity & 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.

4) Data & 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.

5) Observability & 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.

6) Testing & 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.

7) 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…