Software Engineer Jobs

Your Mission
The Global Analytics & Data Products Team is looking for a software engineer to join our team. Your mission is to create and extend our cloud-based data platform infrastructure.
Responsibilities
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities

• Design and implement secure, scalable, high-performance, and robust data services for connected vehicle data in distributed data processing platforms using REST, gRPC, and GraphQL
• Establish standards and best practices for instrumentation within software engineering
• Partner with data engineers and data scientists to meet the need of upstream and downstream dependencies
• Design, extend, and review data architecture, model, flow, and integration – be hands-on and involved with every stage of the software development life cycle
• Develop state-of-the-art functional code – influence/establish the software development culture of the team

Top Performers Will Be Able To Demonstrate

• Taking abstract concepts ideas and implementing them in a robust manner

EOE/Disability/Veteran
Basic Qualifications

• Experience writing SQL queries
• Experience with one or more functional languages such as F#, Scala, or Haskell
• Experience with creating containerized applications using Docker and running them on Kubernetes
• Experience with continuous integration tools like Jenkinsor GitHub Actions
• Experience in AWS using IAM, EKS, EC2, S3
• BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline preferred
• Familiarity with streaming technologies like Kafka
• 2 or more years of experience in the software engineering and software development life cycle
• Experience with more than one coding language

Preferred Qualifications

• Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
• Experience using functional Scala libraries such as Cats or ZIO
• Experience working with cloud Big Data platforms (i.e., Spark, Google BigQuery, Azure Data Warehouse, etc.)

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.
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