Informacje o stanowisku

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:

• AWS
• Python / .NET
• SQL
• Terraform
• Jenkins
• Datadog
• Jira
• Bitbucket

Join as for a quick phone call and a virtual tech interview. We offer the opportunity to work in hybrid/remote mode - office work about once a month required.

?You will be a great fit if you:

• Have 3+ years of professional experience as a DevOps or Platform Engineer with strong focus on AWS services (e.g., S3, Lambda, RDS, Glue and IAM).
• Are proficient in Python (or .NET/other relevant languages used in serverless environments).
• Are familiar with data ingestion mechanisms such as APIs, SFTP, message queues, or streaming platforms.
• Have experience building event-driven architectures and scalable, cloud-native data pipelines.
• Care about data quality, testing and graceful error handling.
• Use observability tools to monitor logs, performance, and system health (e.g., Datadog).
• Are comfortable building and managing infrastructure using Terraform.

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:

• AWS
• Python / .NET
• SQL
• Terraform
• Jenkins
• Datadog
• Jira
• Bitbucket

Join as for a quick phone call and a virtual tech interview. We offer the opportunity to work in hybrid/remote mode - office work about once a month required.

,[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)., Mentor and support a team of data engineers, while staying hands-on in pipeline development and architecture design., Build scalable, serverless, event-driven ETL pipelines to process and transform large datasets from diverse sources., Contribute to the planning and design of future data platform development phases. Requirements: AWS, CI/CD Pipelines, Infrastructure as Code, AWS Lambda, Python, Data pipelines, Terraform, DevOps, ETL, Glue, IAM, Data modeling, Jira, Jenkins, Bitbucket, AWS S3, AWS CloudFormation Tools: . Additionally: Remote work, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Shower, Free parking, No dress code.

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