Staff Backend Software Engineer

Lunar Gridshare is transforming how we use and manage energy in the home and on the grid. We manage solar, home energy storage systems, electric vehicles, and other energy-intensive flows in the home, optimising value and efficiency for end users and energy companies to reduce costs and carbon footprint.

We are looking for a Staff Software Engineer to join our small, focused and collaborative team of talented developers; working on the backend systems that deliver the features the company needs to succeed in its vision.

Your responsibilities would include:

• Taking initiative to ensure delivery of high stakes and/or time sensitive deliverables
• Building the required platform infrastructure to ingest and process big streams of data in real-time, using AWS primitives in a serverless architecture
• Ensuring the quality and reliability of our highly available systems
• Designing and implementing the business logic to expose our functionality via APIs, using functional programming
• Contributing to the continual improvement of our development best practices

You will be supported to work and grow your knowledge on multiple parts of the stack according to your interests and abilities. Our team has a strong tradition of using functional programming and type systems to build pragmatic and flexible systems to solve business problems.

Key skills & experience:

• Experience creating and tastefully adapting cloud architecture
• Expert level in one or more strongly typed languages such as Typescript or Rust
• Experience working in a functional programming paradigm or openness to doing so
• Working experience with Unix-like operating systems
• You love working in a smaller team where you can see the huge impact of your work
• You love learning and are open-minded about changing your opinion if given new information
• You are autonomous and enjoy managing your workload and deadlines

Optional/useful:

• Experience mentoring other developers and providing leadership on technical decisions
• Experience with AWS
• Experience with Python and data science and/or machine learning
• Ability to work independently, using your assessment of the technical landscape to work out where you will be most effective
• Ability to engage with multiple technical stakeholders and teams, to find common needs and themes

We are proud to be an equal opportunities employer and welcome applications from all suitably qualified persons regardless of race, sex, ethnicity, disability, religion/belief, sexual orientation, gender identity or expression, nationality, age or social background. We actively encourage applications from those who identify with less represented and minority groups.