Full Stack Engineer; Java)

Full Stack Java Engineer – Kafka & AWS MSK Migration

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. NTT DATA's client is currently seeking a Full Stack Java Engineer to join their team in Seattle, Washington (US-WA), United States (US).

Location:

Seattle, WA (Onsite)

About the Role

NTT DATA is seeking a Full Stack Java Engineer with deep expertise in Apache Kafka and AWS Managed Streaming for Apache Kafka (MSK) to help lead the migration of enterprise Kafka infrastructure from self-managed environments to AWS MSK.

In this role, you'll design and build event-driven applications, modernize streaming platforms, and ensure a seamless, low-risk migration with minimal impact to business-critical systems. You'll work closely with engineering, Dev Ops, and infrastructure teams to deliver highly scalable, secure, and resilient solutions.

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 Cloud Watch, Prometheus, Grafana, or similar tools.
• Develop migration strategies including validation, dual-read/dual-write, rollback planning, and production readiness.
• Partner with Dev Ops teams to provision infrastructure using Terraform or Cloud Formation.
• 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.

Required Qualifications

• 5+ years of software engineering experience with Java-based enterprise applications.
• 5+ years of Strong expertise in Java (8/11/17), Spring Boot, and RESTful API development.
• 5+ years of Deep experience with Apache Kafka, including:
  Producers and consumers, Kafka Streams, Kafka Connect, Schema Registry (Avro or Protobuf), Consumer groups and partitioning strategies.
• 5+ years of Proven experience implementing or migrating workloads to AWS MSK (including MSK Connect or MSK Serverless).
• 5+ years of Hands-on experience with AWS services including IAM, VPC, Cloud Watch, Lambda, S3, and Secrets Manager.
• 5+ years of Experience building full-stack applications using React or Angular.
• 5+ years of Experience with CI/CD pipelines (Jenkins or Git Lab CI), Infrastructure as Code (Terraform or Cloud Formation), and container technologies such as Docker and Kubernetes.
• 5+ years of Experience working with SQL and No
  
  SQL databases including PostgreSQL, DynamoDB, or MongoDB.
• 5+ years of Strong understanding of distributed systems, event-driven architectures, scalability, and fault tolerance.
• 5+ years of 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.

Preferred Qualifications

• Experience migrating from self-managed or Confluent Kafka environments to AWS MSK.
• Financial services or other highly regulated industry experience.
• AWS certifications (Solutions Architect, Developer Associate, or similar).
• Experience implementing Kafka security using IAM, mTLS, SASL/SCRAM, and encryption best practices.

About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies.

Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.

NTT DATA provides a reasonable range of compensation for U.S.

-based positions. The starting pay range for this role is $65/hr - 75$/hr. Actual…