Full Stack Engineer - Java, Kafka & AWS MSK Migration

United Software Group, Inc.

Seattle, WA, United States

10 days ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$145,600.0 - $154,960.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Amazon S3 Apache HTTP Server Cloud Computing Databases System Configuration Continuous Integration Data Validation Data Governance DevOps

+36 more

Distributed Systems Amazon DynamoDB Fault Tolerance Protocol Buffers Identity and Access Management PostgreSQL MongoDB NoSQL Performance Tuning Prometheus SQL Databases Data Streaming ReactJS Grafana Spring-boot Amazon Virtual Private Cloud (VPC) Backend Cloudformation Event Driven Architecture AngularJS Gitlab-ci Kubernetes Low Latency Avro Apache Kafka Front End Software Development Functional Programming Cloudwatch Restful APIs Terraform Code Restructuring Serverless Computing Docker Jenkins Confluent Microservices

Job description

Seeking an experienced Full Stack Engineer with strong Java expertise and deep hands-on Apache Kafka experience to lead and support the migration of existing Kafka infrastructure to Amazon Managed Streaming for Apache Kafka (AWS MSK). This role blends backend engineering, streaming architecture, and cloud infrastructure skills to ensure a seamless, low-risk transition with minimal disruption to downstream consumers., * Lead technical migration of self-managed/on-prem Kafka clusters to AWS MSK - cluster sizing, topic replication, cutover planning

Design and implement Java-based microservices and APIs producing/consuming from Kafka topics
Develop full-stack features (backend + UI integration) supporting event-driven architectures
Re-architect/refactor producer/consumer applications for MSK compatibility (IAM auth, TLS, VPC connectivity, security groups)
Implement monitoring/alerting/observability using CloudWatch, Prometheus/Grafana, or equivalent
Define and execute data validation, dual-write/dual-read, and rollback strategies during cutover
Optimize Kafka topic partitioning, replication factor, retention policies, and consumer group configurations
Collaborate with DevOps/Infra teams on Terraform/CloudFormation-based MSK provisioning
Ensure compliance with security, encryption (at-rest/in-transit), and access control standards (IAM, SASL/SCRAM, mTLS)
Troubleshoot performance, latency, and throughput issues pre/post-migration
Document migration runbooks, architecture decisions, and operational procedures
Mentor junior engineers on Kafka/MSK best practices

Requirements

Java: Strong hands-on experience with Java (8/11/17), Spring Boot, REST API development
Kafka: Deep expertise in producers/consumers, Kafka Streams/Connect, schema registry (Avro/Protobuf), partition strategy, consumer group management
AWS MSK: Proven experience provisioning, configuring, and migrating workloads to AWS MSK; familiarity with MSK Connect, MSK Serverless
AWS Ecosystem: IAM, VPC, CloudWatch, Lambda, S3, Secrets Manager
Full Stack: Frontend framework exposure (React/Angular) is a plus
DevOps: CI/CD (Jenkins/GitLab CI), Infrastructure as Code (Terraform/CloudFormation), Docker/Kubernetes
Databases: SQL/NoSQL (PostgreSQL, DynamoDB, MongoDB)
Experience with large-scale, mission-critical migrations in regulated environments (financial services preferred)
Strong understanding of distributed systems, fault tolerance, and event-driven design patterns

Preferred Qualifications:

Prior experience migrating from self-managed Kafka (Confluent/Apache) to AWS MSK
Experience in banking/financial services with knowledge of data governance and compliance requirements
AWS Certification (Solutions Architect / Developer Associate)
Exposure to Kafka security hardening (mTLS, SASL/SCRAM, IAM-based auth)