Join us in transforming how vehicles are diagnosed and repaired — faster, smarter, and at scale.
As an AWS Platform Engineer, youll lead the design and evolution of our cloud-native data platform, powering intelligent automotive services with cutting-edge data solutions. In this role, you’ll take ownership of building and scaling a modern data platform that delivers critical insights that power fast and accurate vehicle diagnostics and repairs.
The data platform provides capabilities for ingestion, curation, aggregation, governance, access interfaces and observability.
Our tech stack includes:
Join as for a quick phone call and a virtual tech interview. We offer the opportunity to work in hybrid mode or fully remotely!
?You will be a great fit if you:
Join us in transforming how vehicles are diagnosed and repaired — faster, smarter, and at scale.
As an AWS Platform Engineer, youll lead the design and evolution of our cloud-native data platform, powering intelligent automotive services with cutting-edge data solutions. In this role, you’ll take ownership of building and scaling a modern data platform that delivers critical insights that power fast and accurate vehicle diagnostics and repairs.
The data platform provides capabilities for ingestion, curation, aggregation, governance, access interfaces and observability.
Our tech stack includes:
Join as for a quick phone call and a virtual tech interview. We offer the opportunity to work in hybrid mode or fully remotely!
,[As an AWS Platform Engineer, you will:, Mentor and support a team of data engineers, while staying hands-on in pipeline development and architecture design. , Build scalable, server less, event-driven ETL pipelines to process and transform large datasets from diverse sources. , Optimize AWS resources for performance, cost-efficiency, and security. , Lead and support migrations from on-premises to AWS-based data platforms. , Implement and maintain DevOps practices such as CI/CD pipelines, test automation, and infrastructure as code (Terraform). , Contribute to the planning and design of future data platform development phases. Requirements: AWS, Security, CI/CD Pipelines, Infrastructure as Code, AWS S3, AWS Lambda, Amazon RDS, Python, Message queue, Data pipelines, Datadog, Terraform, SQL, ETL, DevOps, Test automation, Glue, IAM, Data modeling, SFTP, .NET, Testing, Jira, Jenkins, Bitbucket Tools: . Additionally: Remote work, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Shower, Free parking, No dress code.