Software Engineer - #134290

The world around us is experiencing significant change, the greatest in generations.

At McLaren Applied, we’re accelerating the response to that change. Our vision is that our people and technologies will pioneer a better future. Our mission is to achieve breakthroughs in performance.

We’re at the cutting edge of innovation in industries including automotive, transportation, and motorsport. We create solutions that drive efficiency and cost-effectiveness.

We want to help reduce the carbon footprint and become more sustainable. Our focus is on electrification, telemetry, control, and analytics.

To deliver efficient, lightweight electric powertrain and vehicle development; motorsport solutions that make series more sustainable and efficient; reliable connectivity solutions for transportation; and insightful analytics and monitoring of transport fleets.

By applying our expertise, we deliver real benefits and pioneer a better future.

Purpose of the Role

As a Software Engineer in the Data Platforms Team, you will work on a variety of challenges to design and deliver complex products and solutions for our ATLAS (Advanced Telemetry Linked Acquisition System) suite and other related systems. You will be passionate about technology and eager to use the most effective and applicable technologies to create robust and scalable software.

You will work on a variety of challenges to deliver complex products and solutions, which ultimately enable race engineers and strategists to access powerful, race-winning insights in F1 and other motorsport series.

Our software combines many capabilities, including data capture, visualisation, and modelling of real-time and historic data for detailed analysis, reporting, anomaly detection, and enabling the best strategic decisions to be made.

Through clean and consistent coding, you will contribute to optimise our methods of data streaming, aggregation, manipulation, modelling, and visualisation.

Principal Accountabilities

• Developing and maintaining the ATLAS software suite
• Collaborate closely with Product Managers and Field Application Engineers to understand and resolve race issues
• Analyse user requirements, for both 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
• Meeting or exceeding our unit test case code coverage
• Working with other developers to support pull requests, peer reviews, and knowledge transfer
• Contribute to release planning and burndowns by providing development estimates
• Writing technical documentation
• Identify risk and escalate appropriately when required

Knowledge, Skills, Qualifications and Experience

Essential

• First class degree or upper 2nd in Computer Science or similar technical field of study (or equivalent practical experience)
• A thorough understanding of Software Engineering principles
• Proficiency in C#.NET
• Experience using the WPF framework
• Experience using SQL
• Experience using Git version control with development and release branching strategies
• Familiarity with CICD pipelines, preferably with Azure DevOps
• Good understanding and practice of agile project management frameworks
• Ability to work both as part of a team and individually
• High attention to detail and solid analytical skills

Desirable

• Experience with graphics APIs (e.g. DirectX or similar)
• Experience in C++ / CLI
• Experience in database/application scaling, optimisation, 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, data streaming applications
• Experience in, or enthusiastic about, motorsport

Company Benefits

• Enhanced Company Maternity, Paternity and Adoption leave and pay.
• Flexible working policies, including Hybrid Working.
• Life assurance to the value of 4 times base salary
• Opportunity to join the McLaren Applied Pension Plan
• Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate.
• Ride-to-work with Evans Cycles – take advantage of the Government’s Cycle-to-Work scheme which offers savings of up to 42% on the cost of a new bike, cycling accessories and components.
• Electric car scheme – opportunity to drive a brand-new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful competition of their probationary period.

Interview Process

• Telephone screening with Will
• Tech Test and In-person meeting
• Offer!