Senior Software Engineer

Design and evolve Fleet's cloud, data and backend architecture in AWS.

Define how large scientific, geospatial and customer datasets are stored, processed, accessed and managed.

Design data models, database schemas, APIs and service boundaries so multiple applications operate as one platform.

Build backend services, APIs and data processing pipelines, contributing production code yourself.

Improve deployment, observability, security, reliability and cost efficiency across the cloud estate.

Design how authentication, authorisation and access to customer and internal data work.

Work with software engineers, data scientists and machine learning engineers to productionise models and get their outputs in front of customers.

Provide architectural guidance for software built elsewhere in the business, including operational, CRM and other internal tools.

Weigh up build versus buy decisions and integration strategies for third party and internally developed software.

Set engineering standards that let Fleet move quickly without compromising maintainability, security or reliability.

Around 7+ years in software engineering, with significant time spent in cloud architectures and production backend systems.

Tech stack: AWS, Python and/or Go, SQL, Docker, infrastructure as code, GitLab and CI/CD, REST, OpenAPI, GraphQL and gRPC.

Strong understanding of AWS compute, networking, storage, databases, identity and security, and the judgement to pick the right service for the workload.

Backend and API experience from first principles: you can design a service and its data model, not just wire up a framework.

Strong SQL and database experience, including schema design, query optimisation and migration management.

Data architecture and data engineering experience with large scale processing workflows.

Ability to make architectural decisions and explain them clearly, trading off simplicity, performance, scalability, security, cost and maintainability.

Experience integrating multiple applications, services and data sources into a cohesive platform, including authentication, authorisation, data governance and multi tenant concerns.

Comfort operating strategically at the architecture level and practically in the codebase.

Effective use of AI assisted development tools, with clear judgement about where to move fast and where deliberate engineering design is required.

Experience with Jira or similar project and issue tracking tools.

Experience designing systems for large scientific, geospatial or similarly complex datasets.

Knowledge of geology, geospatial data, mining or scientific computing.

Add Value: Obsessively add value for our customers

Drive Excellence: Benchmark against the best

Agile Action: Take Action. Independent, fast, frugal action

Seek Truth: Be curious. Explore

Take Responsibility: Make decisions and own them

Radical Ideas: We are unique. We do things differently

Always Deliver: We always find a way to get it done on time

We have an extremely flexible work culture, with a mix of onsite, hybrid and remote workers who take time for school runs, exercise and appointments. It's about getting the work done, not time at desk.

Equity (ESOP) grants.

20 days of annual leave + 10 extra Wellness days per year.

Learning budgets.

Access to confidential Psychologist appointments via our Employee Assistance Program.

Plenty of opportunity to be part of an amazing STEM program to create the next generation of explorers.