Role summary
We are seeking an experienced Software Engineer with expertise in Python to join our digital data platform team. The ideal candidate will lead the development of data-driven applications and services using Python, related technologies, and AWS cloud services.
The engineer will be responsible for IOSIX Device Manager, a cloud-based software platform that deals with high-throughput ingestion, processing, and management of telematics data from vehicle TCUs (Telematics Control Units). The system is built on a modern AWS Serverless architecture, leveraging Python and Terraform for robust, scalable infrastructure.
Key activities
- Serverless Development: Design, build, and maintain AWS Lambda functions using Python 3.10+.
- Data Pipeline Management: Orchestrate the ingestion of IoT data via AWS IoT Core, processing it through various stages (decoding, status updates) and storing it in DynamoDB and Amazon Timestream/Snowflake.
- Infrastructure as Code: Manage and provision cloud resources using Terraform.
- Quality Assurance: Write comprehensive tests using Pytest, maintaining high code coverage and adhering to strict linting (Ruff) and formatting standards.
- CI/CD: Maintain and improve build pipelines using Jenkins and Makefile automation.
- Tooling: Manage dependencies with Poetry and ensure type safety/validation with Pydantic.
- Participate in architecture discussions and contribute to technical decision-making
- Ensure the scalability, reliability, and performance of Python applications on AWS
- Stay current with Python ecosystem developments, AWS services, and industry best practices
Technical Stack & Requirements
Must-Have
- Python: Expert level (3.10+). Strong grasp of async/await, typing, and modern patterns, strong understanding of OOP and functional programming patterns.
- AWS Serverless: Deep experience with Lambda, API Gateway, DynamoDB, IoT Core, S3.
- AWS IoT Core: Device Shadows, Message Broker & Topic Architecture, Rules Engine & Edge to Cloud Handshake
- Containerization & Orchestration : Good experience with Kubernetes, Docker
- Infrastructure as Code: Proven experience with Terraform.
- Data Engineering: Experience with time-series data (Timestream) and NoSQL data modeling.
- Dependency Management: Experience with Poetry, Black, Pylint, Bandit, Pytest.
- Messaging & Event-Driven Architecture: Good experience with AWS Kinesis, SNS, SQS
- Quality Assurance: Strong habit of writing tests (Pytest, Mock, Coverage) and using static analysis tools.
Nice-to-Have
- IoT Domain Knowledge: Experience with CAN bus, OBD-II, or general vehicle telematics (TCU data).
- Protocol Buffers: Experience with protobuf (used via protofive).
- DevOps: Experience with Jenkins pipelines.
Other comments
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or related field
- 5+ years of experience in Python development
- Experience with data processing libraries (e.g., Pandas, NumPy, SciPy)
- Knowledge of RESTful API design and implementation
- Solid understanding of AWS services, especially AWS IoT, and cloud architecture
- AWS Certified Developer - Associate or AWS Certified Data Analytics - Specialty certification preferred
Goodyear is one of the world's largest tire companies. It employs about 63,000 people and manufactures its products in 49 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate
Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.
