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Senior Java Automation Engineer

· Job Posted June 30, 2026
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Job Description

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.

Job Responsibility

  • 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
  • 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

Requirements

  • 5+ years of experience designing, developing, and maintaining automated test frameworks and quality engineering solutions using Java
  • Strong experience with test automation frameworks and tools (Cucumber)
  • Strong experience validating APIs, integrations, and backend services in complex enterprise systems
  • Strong experience testing microservices, distributed systems, and event-driven architectures in cloud-native environments
  • Advanced SQL expertise, including writing, optimizing, and troubleshooting complex queries against large and complex datasets
  • Experience working with data-intensive applications and complex data models, including data analysis, transformation, validation, and reconciliation
  • Experience establishing QA standards, automation frameworks, and testing best practices across multiple teams
  • Strong understanding of PostgreSQL and DynamoDB, including data validation, test data management, and data integrity verification
  • Hands-on experience with CI/CD pipelines and test automation integration using GitHub Actions and/or similar tools
  • Strong experience developing automated functional, integration, regression, and end-to-end test suites
  • Experience defining comprehensive test strategies, test plans, and quality gates for complex software systems
  • Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end quality engineering solutions, resolve blockers, and communicate effectively in English
  • Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest)

Nice to have

  • Experience with test automation for event/telemetry processing systems
  • Experience with AWS Kinesis and CloudFormation
  • Experience with Snowflake, BigQuery, Databricks, or other data warehousing and analytics platforms
  • Experience validating complex data pipelines and analytical data environments
  • Experience with JPA / Hibernate and backend application development concepts
  • Experience with Spring Cloud
  • Experience supporting data-centric products where data validation and quality assurance are critical to business outcomes

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