> Markdown version of [/jobs/ext/3737784-software-engineer](https://www.wearedevelopers.com/jobs/ext/3737784-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Intersources Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $24,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Continuous Integration, Mailing List, Enterprise Messaging Systems, Open Source Technology, Data Streaming, Git, Information Technology, Apache Flink, Apache Kafka, Bitbucket, Stream Processing, Data Pipelines, Docker, Jenkins, Artifactory - **Published:** October 14, 2026 - **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/27233058#/jobs/27233058 ## About the Role Ø 2-5 years' experience in Apache Flink, Kafka, and Java development. Ø The candidate should have previously been in a lead position and have strong knowledge of Flink and Kafka internals. Ø Understanding of how to use CI/CD tools (Bitbucket, GIT, Jenkins, Artifactory). Ø Bachelor's degree in Computer Science, Engineering, or related field. Preferred Skills:- Ø Experience with the NATS messaging system. Ø Familiarity with Chef. Ø Knowledge of Go programming language. Ø Having worked with Docker and Kubernetes. Ø Experience with AWS and Amazon Managed Streaming for Apache Kafka. ## Description Job Description: The ideal candidate will have expertise in Apache Flink, Kafka, and Java development, with a focus on building scalable and efficient real-time data processing solutions., Ø Design, develop, and deploy real-time data processing pipelines using Apache Flink and Kafka and knowledge of how to implement these platforms in a highly secure and available architecture. Ø Optimize data processing workflows for performance, reliability, and low-latency processing. Ø Implement monitoring and alerting solutions to ensure the health and stability of real-time data pipelines. Ø Contributions to the open source community, including code commits, documentation updates, and engagement in forums or mailing lists.