> Markdown version of [/jobs/ext/3684435-java-software-engineer](https://www.wearedevelopers.com/jobs/ext/3684435-java-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). --- # Java Software Engineer - **Company:** Intellias - **Location:** Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Automation of Tests, Microsoft Azure, Continuous Integration, Database Design, Distributed Systems, Amazon DynamoDB, Github, Hibernate (Java), Java Persistence API, Junit, PostgreSQL, Operational Data Store, Parsing, Performance Tuning, PostGIS, Azure DevOps Pipelines, Data Streaming, Data Logging, Spring Cloud, Spring-boot, Backend, Event Driven Architecture, Cucumber (Software), Data Pipelines, Docker - **Published:** October 11, 2026 - **Apply:** https://es.trabajo.org/oferta-2635-437cc675c9edc21b26ad94fb447c6c98 ## About the Role ~ Strong experience with event-driven architectures using AWS Kinesis ~ Test automation with Cucumber and JUnit ~ Experience with JPA/Hibernate ~ Hands-on experience with one GitHub Actions and/or Azure DevOps pipelines ~ Strong database design skills with PostgreSQL and DynamoDB, including schema optimization and performance tuning ~ Experience in processing and enriching event/telemetry data Experience with Spring Cloud Design, implement, and maintain Spring Boot-based services for ingesting and processing event-driven data Build secure, scalable backend services exposing internal and external APIs Consume, parse, and enrich Kinesis event streams with domain and geospatial metadata Maintain and optimize PostgreSQL/PostGIS schemas across multiple data domains Support reliable data flow between streaming pipelines and operational data stores Apply monitoring, logging, and alerting best practices using AWS Contribute to CI/CD modernization via Azure DevOps ## Description Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. 8+ years designing, developing, deploying, and maintaining backend services and distributed systems in production: Java 21, Spring Boot 3.X, Docker