At Motion Applied, we accelerate the response to the world’s rapid change, pioneering solutions in automotive, transportation, and motorsport to reduce the carbon footprint through electrification, telemetry, control, and analytics. Purpose of the Role As a Software Engineer in the Data Platforms Team, you will design and deliver complex products and solutions for our ATLAS (Advanced Telemetry Linked Acquisition System) suite and related systems. The software enables race engineers and strategists to access powerful, race‑winning insights in F1 and other motorsport series by capturing, visualizing, and modeling real‑time and historic data. Principal Accountabilities

Developing and maintaining the ATLAS software suite Collaborate closely with Product Managers and Field Application Engineers to understand and resolve race issues Analyze user requirements for validity and feasibility Detect, document, and track software defects and inconsistencies Apply quality assurance principles throughout the Agile product lifecycle Identify and implement continuous improvement opportunities, in collaboration with the Data Platforms team Maintain unit test case code coverage meeting or exceeding company standards Support pull requests, peer reviews, and knowledge transfer alongside other developers Contribute to release planning and burndowns by providing development estimates Write technical documentation Identify risk and raise appropriate escalations when required

Knowledge, Skills, Qualifications and Experience

First‑class degree or upper 2nd in Computer Science or a similar technical field of study (or equivalent practical experience) Thorough understanding of software engineering principles Proficiency in C#.NET Experience with the WPF framework Experience with SQL Experience with Git version control and branching strategies Familiarity with CICD pipelines, preferably Azure DevOps Good understanding and practice of agile project management frameworks Ability to work both as part of a team and independently High attention to detail and solid analytical skills Experience with graphics APIs (e.g., DirectX or similar) Experience in C++/CLI Experience with database/application scaling, optimization, and monitoring Experience with time‑series databases Familiarity with message brokers such as Kafka Experience and understanding of building products on cloud infrastructure such as AWS, Azure, and GCP, and microservices Interest and ability to learn other coding languages as needed (e.g., Python, Angular, React) Experience with dependency injection frameworks (e.g., Autofac) Experience in distributed computing, machine learning, data science Experience with building data pipelines and data streaming applications Experience in, or enthusiasm about, motorsport

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology and Engineering

Industries

Electrical Equipment Manufacturing

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