Java Backend Engineer

TechDigital Group; Irving (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading tech company in the United States is seeking a skilled Java Developer. The ideal candidate will have over 6 years of hands-on experience with Java 8+, proficiency in Spring Boot, and a solid understanding of microservices architecture. Experience with AWS, Docker, Kubernetes, and advanced Kafka skills are essential. Join us to contribute to innovative projects in a dynamic environment.

Qualifications

• 6+ years of hands-on experience with Java 8+ and strong proficiency in Spring Boot framework.
• Solid understanding of microservices architecture.
• 6+ years of experience with relational databases (SQL Server, Postgres).
• 6+ years of industry experience with AWS or similar cloud platforms.

Skills

Java 8+

Spring Boot

Microservices architecture

SQL Server

Postgres

AWS

Docker

Kubernetes

Kafka

Tools

Jira

Stash

Apache CXF

MSSQL Server

Couchbase

Redis

Job description

Java Springboot, JPA, Apache CXF, Tibco, Kafka, MSSQL Server, Postgres, Couchbase, Redis, Docker, Kubernetes, Jenkins, Stash, Jira.

Qualifications

• 6+ years of hands‑on experience with Java 8+ and strong proficiency in Spring Boot framework.
• Solid understanding of microservices architecture.
• 6+ years of experience with relational databases (SQL Server, Postgres).
• 6+ years of industry experience with AWS or similar cloud platforms (e.g., GCP, Azure, Pivotal Cloud Foundry, OpenShift), including familiarity with services like S3, Lambda, EC2, RDS, Load Balancing, Istio Service Mesh, and API Gateway.
• Experience with Docker, Kubernetes and other containerization technologies.
• Advanced Kafka Expertise: Proven ability to design, implement, and manage Kafka-based solutions, specifically:
• Crafting Kafka topics, producers, and consumers for diverse use cases such as event sourcing, log aggregation, and real‑time analytics.
• Optimizing Kafka performance through effective serialization, batching, partitioning strategies, and consumer group management.
• Troubleshooting and monitoring Kafka clusters in production environments.
• A deep understanding of Kafka's core characteristics: durability, scalability, fault tolerance, and security best practices (including authentication, authorization, and encryption).