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 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
- 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
- Take ownership of features end-to-end, from design through deployment and production support
At Intellias, where technology takes center stage, people always come before processes.