Senior Java Software Engineer

Senior Java Software Engineer

Location: Remote from Spain (an indefinite Spanish employment contract)

Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world.

Project Overview:

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. 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.

Mandatory:

• 8+ years designing, developing, deploying, and maintaining backend services and distributed systems in production: Java 21, Spring Boot 3.x, Docker
• Strong experience with event-driven architectures using AWS Kinesis
• Test automation with Cucumber and JUnit
• Hands-on AWS experience (including ECS, RDS, etc.)
• 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
• Ability to provide 6 hours overlap with US Central Time (CT) on business days

Nice to have:

• Experience in processing and enriching event/telemetry data
• Experience with Spring Cloud
• Experience processing geospatial data (PostGIS)
• Experience with JOOQ and Flyway

Responsibilities:

• 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
• Maintain clear documentation and promote engineering best practices