Java Developer
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2026-10-27
Listing for:
Compunnel Inc.
Full Time
position Listed on 2026-10-27
Job specializations:
-
Software Development
Backend Developer, Cloud Engineer - Software, DevOps, Java Developer
Job Description & How to Apply Below
Job Title:
Java Developer
- B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.
- 8-10 years of strong software engineering experience, with deep expertise in building scalable UX driven applications and distributed systems architecture.
- Proven experience designing and building scalable REST APIs, microservices, Kubernetes, and distributed systems.
- Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem designs.
- Strong hands-on expertise in Python, Java, Angular and well-versed with Object oriented design patterns and Functional programming.
- Expertise in PySpark, and Apache Spark, with proven experience building high-performance distributed data processing solutions.
- Solid depth in Micro-services development with Kubernetes containerization for eventing and serving.
- Extensive experience with AWS services such as S3, Lambda, API Gateway, and Event Bridge for building scalable, reliable, cloud-native data platforms.
- Strong experience with messaging and event-driven technologies such as Kafka, SNS, and SQS, along with solid expertise in relational and No
SQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis. - Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
- Strong understanding of CI/CD and Dev Ops practices using tools such as Jenkins, Git Hub/Git Lab, Bitbucket, GoCD, and automated deployment pipelines.
- Experience implementing robust testing strategies, including unit, integration, and regression testing, while adhering to engineering best practices.
- Strong critical thinking and analytical skills, with the ability to diagnose, troubleshoot, and solve complex technical problems effectively.
- Exposure to Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems.
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