What project we have for youIntellias 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. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field.What you need for thisMandatory- 6+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21, Spring Boot 3.x, Docker - 2+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Kotlin - 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 - Hands-on experience with AWS (core services and cloud-native development) - Strong experience with microservices, MVC, and event-driven architectures - Strong experience with JPA / Hibernate - Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB, including schema design, optimization, and performance tuning - Experience building and operating event-driven systems (e.g., Kafka, Kinesis) - Solid test automation experience using JUnit and Cucumber - Hands-on experience with GitHub Actions and/or similar CI/CD tools - Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest)Nice to Have- Experience in processing and enriching event/telemetry data - Experience with AWS Kinesis and CloudFormation - Experience with jOOQ and Flyway - Experience with Snowflake, BigQuery, or Databricks (data warehousing/analytics) - Experience with Spring Cloud - Experience working with geospatial data (PostGIS)What you will doResponsibilities- 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 - Develop and maintain robust APIs for internal and external consumers - Work with AWS cloud services to design and support reliable, scalable backend systems - Design, optimize, and maintain PostgreSQL and DynamoDB schemas, ensuring performance and data integrity - Implement and maintain automated testing strategies (unit and integration) - Contribute to and maintain GitHub Actions pipelines - Ensure system reliability through monitoring, logging, and observability best practices - Collaborate effectively in a distributed team, communicating progress, risks, and dependencies - Take ownership of features end-to-end, from design through deployment and production support - Maintain clear technical documentation and promote engineering best practices