Full-Stack Java Engineer for Kafka & AWS MSK Migration

NTT DATA North America

Washington

On-site

USD 75,000 - 157,000

Full time

12 days ago

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Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k with match

Paid time off

Job summary

NTT DATA is seeking a Full Stack Java Engineer with deep expertise in Apache Kafka and AWS MSK to lead the migration of enterprise streaming infrastructure to AWS MSK. You will design and build event-driven applications, modernize streaming platforms, and collaborate with DevOps and infrastructure teams to ensure a smooth, low-risk transition.

The role requires strong Java (8/11/17), Spring Boot, React/Angular frontend experience, and hands-on AWS services, IaC, and CI/CD skills to deliver

Qualifications

5+ years of software engineering experience with Java-based enterprise applications.
Strong expertise in Java (8/11/17), Spring Boot, and RESTful API development.
Deep experience with Apache Kafka, including: Producers and consumers, Kafka Streams, Kafka Connect, Schema Registry (Avro or Protobuf), consumer groups and partitioning strategies.
Proven experience implementing or migrating workloads to AWS MSK (including MSK Connect or MSK Serverless).
Hands-on experience with AWS services including IAM, VPC, CloudWatch, Lambda, S3, and Secrets Manager.
Experience building full-stack applications using React or Angular.
Experience with CI/CD pipelines (Jenkins or GitLab CI), Infrastructure as Code (Terraform or CloudFormation), and container technologies such as Docker and Kubernetes.
Experience working with SQL and NoSQL databases including PostgreSQL, DynamoDB, or MongoDB.
Strong understanding of distributed systems, event-driven architectures, scalability, and fault tolerance.
Experience supporting large-scale production migrations with minimal downtime.
Excellent communication skills and the ability to collaborate across engineering and infrastructure teams.
Strong analytical and problem-solving skills with the ability to work independently in fast-paced environments.

Responsibilities

Lead the migration of on-premises or self-managed Kafka clusters to AWS MSK, including planning, sizing, replication, and production cutovers.
Design, develop, and maintain Java/Spring Boot microservices and REST APIs that publish and consume Kafka events.
Build and enhance full-stack applications using modern frontend technologies (React or Angular) where required.
Refactor Kafka producers and consumers to support AWS MSK, including IAM authentication, TLS, networking, and security best practices.
Optimize Kafka performance through effective partitioning, replication, retention, and consumer group management.
Implement monitoring and observability using CloudWatch, Prometheus, Grafana, or similar tools.
Develop migration strategies including validation, dual-read/dual-write, rollback planning, and production readiness.
Partner with DevOps teams to provision infrastructure using Terraform or CloudFormation.
Ensure secure, compliant implementations with encryption, IAM, mTLS, and SASL/SCRAM authentication.
Troubleshoot application, streaming, and infrastructure performance issues.
Produce technical documentation, migration runbooks, and operational procedures.
Mentor junior engineers and promote Kafka and AWS best practices.