More jobs:
Java Developer
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-07-24
Listing for:
Compunnel, Inc.
Full Time
position Listed on 2026-07-24
Job specializations:
-
Software Development
Backend Developer, Cloud Engineer - Software
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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