Full Stack Engineer (Java)

NTT DATA North America; Seattle (WA); On-site; USD 89,544,000 - 103,320,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Flexible spending or health savings

AD&D insurance

401k program

Employee assistance

Additional benefits

Job summary

NTT DATA is seeking a Full Stack Java Engineer in Seattle to lead and implement migration of on-prem Kafka to AWS MSK. You will design and build Java/Spring Boot microservices and modern front-end components, collaborating with DevOps and infrastructure teams to ensure secure, scalable solutions.

The role emphasizes hands-on migration work, strong AWS/MSK expertise, and mentoring engineers while delivering high-availability systems. A Bachelor's degree is required, onsite in Seattle, WA.

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 and related components (Producers/Consumers, Streams, Connect, Schema Registry).
• 5+ years of Proven experience migrating workloads to AWS MSK (MSK Connect/Serverless).
• 5+ years of Hands-on experience with AWS services (IAM, VPC, CloudWatch, Lambda, S3, Secrets Manager).
• 5+ years of Experience building full-stack apps using React or Angular.
• 5+ years of CI/CD, IaC (Terraform/CloudFormation), Docker & Kubernetes.
• 5+ years of SQL/NoSQL (PostgreSQL, DynamoDB, MongoDB).
• Strong understanding of distributed systems and event-driven architectures.

Responsibilities

• Lead migration of Kafka clusters to AWS MSK, including planning and production cutovers.
• Design, develop, and maintain Java/Spring Boot microservices with Kafka integration.
• Build full-stack apps using React or Angular where needed.
• Refactor Kafka producers/consumers for MSK, including IAM, TLS, networking security.
• Implement monitoring with CloudWatch, Prometheus, Grafana.
• Develop migration strategies with validation, dual-read/dual-write, rollback planning.
• Collaborate with DevOps to provision infra via Terraform or CloudFormation.
• Ensure security with encryption, IAM, mTLS, SASL/SCRAM.
• Produce technical docs, migration runbooks, and operate procedures.
• Mentor junior engineers on Kafka and AWS best practices.

Skills

Java

Spring Boot

REST APIs

Kafka

AWS MSK

React/Angular

CI/CD

Docker/Kubernetes

SQL/NoSQL

Distributed systems

Education

Bachelor's Degree

Tools

Terraform

CloudFormation

Jenkins

GitLab CI

Job description

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.

NTT DATA's Client is currently seeking a Full Stack Engineer (Java) to join their team in Seattle Washington (US-WA), United States (US).

Job Description

Full Stack Java Engineer – Kafka & AWS MSK Migration

Location: Seattle, WA (Onsite) Close

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.
• 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, CloudWatch, 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 GitLab CI), Infrastructure as Code (Terraform or CloudFormation), and container technologies such as Docker and Kubernetes.
• 5+ years of Experience working with SQL and NoSQL 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. Visit us at us.nttdata.com

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 compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits

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