This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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