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

NTT
United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$75,168.0 - $156,600.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Amazon Web Services Amazon S3 DevOps Distributed Systems Amazon DynamoDB Fault Tolerance Protocol Buffers Identity and Access Management PostgreSQL MongoDB NoSQL
+27 more
Prometheus Standard Sql Software Engineering Data Streaming Enterprise Software Applications ReactJS Grafana Spring-boot Amazon Virtual Private Cloud (VPC) Cloudformation Event Driven Architecture Build Management Containerization AngularJS Gitlab-ci Avro Apache Kafka Functional Programming Cloudwatch Restful APIs Terraform Code Restructuring Serverless Computing Docker Jenkins Confluent Microservices

Job description

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.

Requirements

  • 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.

Benefits & conditions

Pulled from the full job description

  • AD&D insurance
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Health savings account
  • Dental insurance, 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, life and ADD 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

About the company

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 RD.

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