Java Developer

InfoVision, Inc.
Dallas, TX, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
9 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Application Integration Architecture Microsoft Azure Code Review Continuous Integration Relational Databases Database Queries DevOps
+43 more
Programming Tools Amazon DynamoDB Github Monitoring of Systems Spring Framework JSON Junit PostgreSQL MongoDB MySQL Natural Language Processing NoSQL Oracle (Applications) Scrum Methodology Query Optimization Swagger SQL Stored Procedures SQL Databases Systems Integration Openapi Datadog Freeform SQL Large Language Models Prompt Engineering Spring-boot Generative AI Backend Git Event Driven Architecture Solid Principles Kubernetes Information Technology Cassandra Real Time Data Apache Kafka Restful APIs Appdynamics GPT Data Pipelines Dynatrace Docker Jenkins Microservices

Job description

We are seeking an experienced Java Developer to join a high-impact engineering team supporting enterprise-scale backend platforms for a leading telecommunications client in Dallas, TX. In this role, you will design and operate event-driven microservices that process real-time data streams, integrate AI-powered capabilities into core workflows, and collaborate with cross-functional teams to deliver scalable, production-grade solutions. Within 90 days, you will be expected to own one or more services end-to-end and contribute meaningfully to platform reliability and AI integration initiatives., * Design, develop, and maintain Java-based microservices using Spring Boot, following clean architecture and SOLID principles.

  • Build and manage Apache Kafka producers, consumers, and topic configurations to support real-time event streaming and data pipeline workflows.
  • Integrate Claude AI (Anthropic) APIs into backend services to enable intelligent automation, natural language processing, and AI-assisted decision-making features.
  • Write and optimize complex SQL queries, stored procedures, and schema designs across relational databases (PostgreSQL, MySQL, or Oracle).
  • Develop and expose RESTful APIs, ensuring proper documentation via Swagger/OpenAPI and adherence to security best practices.
  • Participate in CI/CD pipeline management using tools such as Jenkins, GitHub Actions, or Azure DevOps, and contribute to containerized deployments via Docker and Kubernetes.
  • Collaborate with product owners, QA, and DevOps teams in an Agile/Scrum environment to deliver iterative, well-tested software.
  • Conduct code reviews, mentor junior developers, and uphold engineering standards across the team.

Requirements

  • 9+ years of hands-on Java development experience, including strong proficiency in Spring Boot and Spring Framework.
  • Demonstrated experience building and operating Apache Kafka-based event-driven architectures (producers, consumers, schema registry, partitioning strategies).
  • Practical experience integrating or working with large language model (LLM) APIs or generative AI tools (Claude, GPT, Gemini, or equivalent) in production backend systems.
  • Strong SQL skills including schema design, query optimization, and stored procedure development across one or more relational databases.
  • Proficiency with RESTful API design, JSON data modeling, and microservices communication patterns.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

TECHNICAL SKILLS

Java Spring Boot Apache Kafka Claude AI / Anthropic API SQL Microservices REST APIs Docker Kubernetes CI/CD Git JSON JUnit Azure / AWS, * Experience in the telecommunications industry or with high-throughput, enterprise-scale backend systems.

  • Familiarity with NoSQL databases (MongoDB, Cassandra, or DynamoDB) in addition to relational SQL databases.
  • Exposure to prompt engineering, LLM API orchestration frameworks (LangChain4j, Semantic Kernel for Java, or similar), or AI-assisted developer tooling.
  • Knowledge of observability and monitoring tools such as Datadog, Dynatrace, or AppDynamics.
  • Prior experience in Agile/Kanban delivery with distributed or hybrid teams.

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