American Technology Consulting LLC
American Technology Consulting LLC

Senior Java full stack developer

Columbus, OH, US • Posted 45 minutes ago • Updated 45 minutes ago
Contract W2
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • java
  • spring
  • aws
  • react

Summary

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.
  • 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:
  • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10488885
  • Position Id: 9104807
  • Posted 45 minutes ago
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RM

Ramakrishnan Murugavel

Recruiter @ American Technology Consulting LLC
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