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 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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