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- Tasks: Develop cutting-edge wildfire prediction software and create user-friendly interfaces.
- Company: Join a Cambridge spinout focused on precise global wildfire risk forecasting.
- Benefits: Enjoy hybrid work flexibility, competitive pay, and the chance to make a real impact.
- Why this job: Be part of a mission-driven team shaping climate solutions with innovative technology.
- Qualifications: Strong back-end skills in Python/Node.js; familiarity with C++ and cloud platforms required.
- Other info: Collaborate with diverse experts and thrive in a fast-paced, iterative environment.
The predicted salary is between 36000 - 60000 £ per year.
Are you passionate about climate solutions and ready to join the development of next-generation wildfire prediction technology in a venture-backed startup?
About us: We are an early-stage spinout from the University of Cambridge with the mission to provide the world's most precise wildfire risk forecasts at a global scale and enhance community climate resilience. We have created a cost-effective, ultra-granular, physics-driven simulator that delivers unprecedented accuracy in forecasting wildfire propagation across any landscape, anywhere in the world. We are now developing solutions to provide impacted stakeholders in the financial sector and other industries with reliable data and actionable intelligence.
The role: We are looking for a versatile Software Engineer to lead the build-out of our customer-facing products and technology stack. This role focuses on developing, integrating, and deploying core SaaS and DaaS platforms that sit on top of our simulator and data infrastructure. You will be part of a diverse, interdisciplinary team and work closely with the founders, company-affiliated academics, data scientists, computational scientists, and industry partners to deliver end-to-end systems that are robust, interactive, and cloud-native.
Your responsibilities include:
- Designing and building scalable, cloud-native backend systems that serve wildfire simulation software and data to end users
- Developing robust, well-documented APIs to enable seamless integration with client tools and internal systems
- Creating intuitive, interactive front-end interfaces for geospatial exploration, analytics, and visual storytelling
- Implementing modern cartographic visualisations and map-based user experiences for risk insights and operational planning
- Collaborating with scientists, engineers, and domain experts to translate research outputs into production-ready tools
- Supporting GPU-accelerated software development and helping optimise performance across our stack
- Contributing to DevOps/MLOps pipelines and ensuring reliable deployment, testing, and delivery workflows
- Continuously iterating on features based on user feedback, performance metrics, and strategic priorities
This role is for you if you are a mission-driven software engineer with a track record of developing software products in fast-paced environments and are eager to make a lasting impact on society by shaping not only our products but also the future of our company. You enjoy full-stack challenges, take pride in shipping elegant software products, and love transforming complex models and data into smooth, intuitive user experiences. You are excited by geospatial technology, that is, you love maps, interactivity, and crafting beautiful, web-based mapping tools. You are comfortable switching between backend infrastructure and front-end refinement, and happy to leverage AI tools or modern frameworks to move faster. You thrive in iterative environments, where rapid prototyping, feedback loops, and continuous improvement are integral to the process. You enjoy brainstorming with people from other disciplines and translating diverse insights into practical, high-impact software features. You work collaboratively, thrive in ambiguity, and take full ownership of what you build.
Key technical skills:
- Strong back-end development experience (Python, Node.js)
- Working knowledge of C++ and GPU computing (CUDA, OpenCL)
- Proven ability to design, build, and maintain robust APIs
- Proficiency with cloud platforms (e.g. AWS, GCP, or Azure), containerisation, and CI/CD pipelines
- Familiarity with scalable data delivery architectures (e.g., microservices, serverless frameworks)
- Front-end development skills (React, JavaScript, Streamlit, etc.)
- Familiarity with geospatial tools and frameworks (Mapbox, Leaflet, CesiumJS, etc.)
- Familiarity with UX/UI design principles and interactive web-based visualisation
Location: Hybrid (London, UK). We currently work 2 days per week from our office in London, with flexibility for remote work the rest of the time.
Wildfire Software Engineer employer: Pinepeak
Contact Detail:
Pinepeak Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Wildfire Software Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in wildfire prediction technology and geospatial tools. Understanding the specific challenges and innovations in this field will help you engage in meaningful conversations during interviews and demonstrate your passion for climate solutions.
✨Tip Number 2
Network with professionals in the climate tech and software engineering sectors. Attend relevant meetups, webinars, or conferences to connect with like-minded individuals and industry experts. This can lead to valuable insights and potential referrals that could enhance your application.
✨Tip Number 3
Showcase your full-stack development skills by working on personal projects or contributing to open-source initiatives related to geospatial technology. Having tangible examples of your work can set you apart and provide concrete evidence of your capabilities during discussions.
✨Tip Number 4
Prepare to discuss how you approach iterative development and user feedback in your projects. Highlighting your experience with rapid prototyping and continuous improvement will resonate well with our team, as we value collaboration and adaptability in our work environment.
We think you need these skills to ace Wildfire Software Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Wildfire Software Engineer position. Familiarise yourself with the technologies mentioned in the job description, such as Python, Node.js, and cloud platforms.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your back-end development experience, API design, and any familiarity with geospatial tools or frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for climate solutions and your excitement about the role. Mention specific projects or experiences that demonstrate your ability to develop software products in fast-paced environments.
Showcase Your Projects: If you have worked on relevant projects, include links to your portfolio or GitHub repository. Highlight any work related to geospatial technology, cloud-native systems, or interactive web-based tools to strengthen your application.
How to prepare for a job interview at Pinepeak
✨Show Your Passion for Climate Solutions
Make sure to express your enthusiasm for climate solutions and wildfire prediction technology. Share any relevant experiences or projects that demonstrate your commitment to environmental issues, as this aligns with the company's mission.
✨Demonstrate Technical Proficiency
Be prepared to discuss your technical skills in back-end development, particularly with Python and Node.js. Highlight any experience you have with cloud platforms and APIs, as well as your familiarity with geospatial tools and frameworks.
✨Emphasise Collaboration Skills
Since the role involves working closely with a diverse team, showcase your ability to collaborate effectively. Share examples of how you've worked with cross-disciplinary teams in the past and how you can contribute to a collaborative environment.
✨Prepare for Problem-Solving Scenarios
Expect to face problem-solving scenarios during the interview. Be ready to discuss how you approach challenges, iterate on feedback, and improve software features based on user input. This will demonstrate your adaptability and commitment to continuous improvement.
