Full Stack Java Engineer - Kafka & AWS MSK Migration - Client Site

NTT DATA North America; Washington; On-site; USD 75,000 - 157,000; Full time

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.

Skills

Java

Spring Boot

REST APIs

Apache Kafka

AWS MSK

React/Angular

CI/CD

Terraform/CloudFormation

Docker/Kubernetes

PostgreSQL/DynamoDB/MongoDB

Distributed systems

Migration

Education

Bachelor's Degree

Tools

Terraform

CloudFormation

Docker

Kubernetes

Jenkins

GitLab CI

React

Angular

Kafka

Job description

Full Stack Java Engineer – Kafka & AWS MSK Migration

We are currently seeking a Full Stack Java Engineer - Kafka & AWS MSK Migration - Client Site to join our team in Seatle, Washington (US-WA), United States (US).

Location: Seattle, WA (Onsite)

Degree Required: Bachelor's Degree

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, DevOps, 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 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.

Required 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.

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.

Pay Transparency

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $ $75,168-$156,600. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, lifeand AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.