Senior Java Developer, Fully Remote/Hybrid Working

Senior Java EngineerLocation: Remote from Spain (an indefinite Spanish employment contract)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.6+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21, Spring Boot 3.x, Docker~ Minimum of 2 years of hands-on experience with AWS core services and cloud-native application development.~ Strong experience designing and operating event-driven distributed systems using technologies such as Kafka, AWS Kinesis, or equivalent messaging platforms.~ Strong experience with JPA / Hibernate~ Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB, including schema design, optimization, and performance tuning~ Solid test automation experience using JUnit and Cucumber~ Hands-on experience with GitHub Actions and/or similar CI/CD tools~ Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English~ Advanced SQL expertise, including designing, writing, optimizing, and troubleshooting complex analytical queries against large and complex datasets.Experience processing, enriching, or analyzing event and telemetry data at scale.Experience with AWS CloudFormation.Experience with BigQuery or Databricks.Experience with Spring Cloud.Experience working with geospatial data (PostGIS).Experience supporting large-scale data platforms, reporting systems, or business analytics products.Experience working with distributed data processing or data pipeline technologies.Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architectureBuild and operate event-driven data processing pipelines, including ingestion, transformation, and enrichment of streaming dataWork extensively with complex datasets, focusing on data analysis, transformation, validation, and optimizationDevelop and maintain advanced SQL queries and data workflows to support business and platform requirementsCollaborate closely with data engineering, analytics, and business stakeholders to understand and solve complex data challengesContribute to data warehousing and analytics initiatives, including Snowflake-based solutions where applicableWork with AWS cloud services to design and support reliable, scalable backend systemsDesign, optimize, and maintain PostgreSQL and DynamoDB schemas, ensuring performance and data integrityImplement and maintain automated testing strategies (unit and integration)Contribute to and maintain GitHub Actions pipelinesEnsure system reliability through monitoring, logging, and observability best practicesTake ownership of features end-to-end, from design through deployment and production supportAt Intellias, where technology takes center stage, people always come before processes.

6+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21, Spring Boot 3.x, Docker ~ Minimum of 2 years of hands-on experience with AWS core services and cloud-native application development. ~ Strong experience designing and operating event-driven distributed systems using technologies such as Kafka, AWS Kinesis, or equivalent messaging platforms. ~ Strong experience with JPA / Hibernate ~ Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB, including schema design, optimization, and performance tuning ~ Solid test automation experience using JUnit and Cucumber ~ Hands-on experience with GitHub Actions and/or similar CI/CD tools ~ Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English ~ Advanced SQL expertise, including designing, writing, optimizing, and troubleshooting complex analytical queries against large and complex datasets. Experience processing, enriching, or analyzing event and telemetry data at scale. Experience with AWS CloudFormation. Experience with BigQuery or Databricks. Experience with Spring Cloud. Experience working with geospatial data (PostGIS). Experience supporting large-scale data platforms, reporting systems, or business analytics products. Experience working with distributed data processing or data pipeline technologies. Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architecture Build and operate event-driven data processing pipelines, including ingestion, transformation, and enrichment of streaming data Work extensively with complex datasets, focusing on data analysis, transformation, validation, and optimization Develop and maintain advanced SQL queries and data workflows to support business and platform requirements Collaborate closely with data engineering, analytics, and business stakeholders to understand and solve complex data challenges Contribute to data warehousing and analytics initiatives, including Snowflake-based solutions where applicable Work with AWS cloud services to design and support reliable, scalable backend systems