Full Stack Engineer Visa Sponsorship Jobs in Washington
Washington is one of the top states for full stack engineer visa sponsorship, driven by major tech employers like Microsoft, Amazon, and Salesforce concentrated in Seattle and the Eastside corridor. Bellevue, Redmond, and Kirkland also have active hiring pipelines, and a dense cluster of mid-size SaaS and cloud companies regularly files H-1B visa petitions for full stack roles.
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Get Access To All JobsINTRODUCTION
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.
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.
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.
INTRODUCTION
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.
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.
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.
Full Stack Engineer Job Roles in Washington
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Search Full Stack Engineer Jobs in WashingtonFull Stack Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for full stack engineers in Washington?
Microsoft, Amazon, and Salesforce are among the largest H-1B sponsors for full stack engineers in Washington. Beyond the major players, companies like Zillow, Expedia, Tableau, and a range of Seattle-area SaaS startups consistently file Labor Condition Applications for full stack roles. Washington's dense tech employer base means sponsorship is more common here than in most other states.
Which visa types are most common for full stack engineer roles in Washington?
The H-1B is the most common visa for full stack engineers in Washington, given the role's classification as a specialty occupation requiring at least a bachelor's degree in computer science or a related field. L-1B transfers are also used when engineers move within a multinational company. Australians may qualify for the E-3 visa, and Canadian or Mexican nationals may be eligible for TN visa status under USMCA.
Which cities in Washington have the most full stack engineer sponsorship jobs?
Seattle has the highest concentration of full stack engineer sponsorship jobs in Washington, followed closely by Bellevue and Redmond, where Microsoft's headquarters drives significant hiring volume. Kirkland and Bothell also have active tech hiring communities. Outside the Puget Sound metro, Spokane has a smaller but growing tech sector with some sponsoring employers, though most sponsorship activity remains concentrated on the Eastside.
How to find full stack engineer visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international candidates looking for visa sponsorship roles, including full stack engineer positions in Washington. You can filter by state and role to see employers actively hiring and sponsoring. Because Washington has a high density of H-1B-filing tech companies, the volume of relevant listings is among the highest of any U.S. state on the platform.
Are there state-specific considerations for full stack engineers seeking visa sponsorship in Washington?
Washington has no state income tax, which is relevant context when evaluating offers, though prevailing wage requirements for H-1B petitions are set by the Department of Labor based on the specific role and metro area, not state tax rules. The Seattle-Bellevue metro is designated a high-cost area, so DOL prevailing wages for full stack engineers here are among the highest wage levels in any U.S. metro. Employers must certify they are meeting those thresholds when filing an LCA.
What is the prevailing wage for sponsored full stack engineer jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.