Lead Engineer (Back-End)

Job description

About the Role We are looking for an experienced Lead Engineer (back-end) to lead the team building and scaling the infrastructure behind Scenario Builder, our electricity grid modelling platform. Scenario Builder is an in-browser platform that currently provides capacity expansion and dispatch modelling through an accessible no-code interface. The vision for Scenario Builder is to expand into power flow modelling to create a fully integrated grid modelling platform with the features and functionality needed to enable users to develop bankable scenarios that support energy investment decisions. You will line-manage a small team of engineers while remaining a highly active individual contributor. You will own the technical shape of engineering work on the back-end team — leading planning, architecture, and code quality. You will work closely with the wider product and engineering team to design, develop, and maintain the back-end services that power our platform. This hybrid role is based out of our London office near Waterloo Station and reports to the Head of Platform. Responsibilities Back-end development & architecture Design, develop, and maintain scalable back-end services and APIs using Python and modern frameworks (FastAPI). Design and build high-performance API endpoints to handle complex hierarchical data queries and multi-dimensional aggregations for grid modelling computations Ensure system reliability, performance, and security through best practices in code quality, testing, and monitoring. Collaborate with front-end engineers to design and implement RESTful APIs that support our web application. Collaborate with data engineers and domain experts on the evolving core data model Infrastructure & DevOps Manage and optimise cloud infrastructure (GCP) to support our computational workloads. Implement and maintain CI/CD pipelines to enable rapid, reliable deployments. Monitor system health and performance, proactively identifying and resolving issues. Implement and maintain infrastructure-as-code Technical leadership & collaboration Participate and lead in code reviews, architectural discussions, and technical planning sessions. Own technical planning: break down roadmap items into well-scoped engineering work, lead estimation, and drive architectural decision records (ADRs). Collaborate with cross-functional teams, including product, data engineering, and modelling, to deliver impactful features. Set and uphold the team's technical standards — code quality, testing strategy, API design — through direct example and code review. People & line management Line-manage a team of 3–5 engineers: run regular 1:1s, support career development, and provide timely, constructive feedback. Partner with the Head of Platform on performance reviews and personal development plans. Act as the first point of escalation for day-to-day technical blockers About You You should have a long-term commitment to advancing the energy transition and be driven to build robust, scalable systems that power our grid modelling platform. Passionate about creating highly performant back-end services, you understand the technical challenges associated with building niche B2B products that handle complex computational workloads. In addition to seeking out people with a proactive, problem-solving attitude and an eye for detail, as a growing organisation, collegiality and empathy for our coworkers are a requisite. While we are a rapidly growing tech startup, we are also a non-profit, so a high level of adaptability and willingness to approach challenges with creativity and curiosity is essential. Skills & Experience Essential 7+ years of experience in back-end software development, with strong proficiency in Python. Experience designing and building RESTful APIs and microservices architectures. Strong understanding of database technologies (PostgreSQL, Redis, Firestore), ORMs and data modelling principles. Experience with cloud platforms (preferably GCP) and containerisation technologies (Docker). Solid understanding of software engineering best practices, including testing, code review, and documentation. Excellent problem-solving skills and ability to work independently on complex technical challenges. Experience line managing or formally mentoring engineers, with confidence running 1:1s and supporting career development. Understanding of OAuth and web security best practices. Experience with AGILE/Scrum based ways-of-working Desirable Experience in the energy sector or with computational modelling/simulation software. Familiarity with scientific computing libraries (NumPy, Pandas) and optimisation frameworks. Experience with generative AI/LLMs in applied engineering contexts Experience with infrastructure-as-code tools (Terraform, Terragrunt) and GitOps practices.