Lead Backend Engineer
This role will play a central part in how Midnite scales internal operations and defines the practical use of AI across engineering and the wider business. You ll lead the build of a greenfield back office platform while helping shape how AI is used to improve workflows, decision-making, and efficiency across the company. You ll combine technical leadership with hands-on engineering, guiding a small team while building production systems that have direct business impact.
Responsibilities
- Design and build scalable backend systems for Midnite s internal back office platform.
- Lead and mentor a small team of engineers while remaining hands-on in delivery.
- Write production code and use AI-assisted development approaches to accelerate execution.
- Productionise and deploy AI-powered tools for engineering and business use cases.
- Explore and apply technologies such as LLM APIs, agents, MCP servers, and RAG-style patterns where they create real value.
- Collaborate closely with Product to shape requirements, technical solutions, and delivery plans.
- Work with internal stakeholders to understand operational pain points and turn them into effective tooling.
- Define architecture, engineering standards, and best practices for a new team and platform.
Requirements
The next Midniter
- Brings 7+ years of backend engineering experience, including time operating at a senior or lead level.
- Has experience leading or mentoring engineers in a hands-on technical leadership capacity.
- Has built internal platforms, back office systems, or operational tooling.
- Has professional experience integrating LLMs or AI APIs into production environments.
- Has a solid understanding of databases (PostgreSQL or similar).
- Has strong system design instincts across scalable, reliable backend services.
- Has a strong proficiency in Python (or another backend language with willingness to learn Python).
- Has cloud, deployment, and production engineering fundamentals, including CI/CD, observability, and infrastructure in modern environments.
- Brings strong ownership, product thinking, and a bias toward delivery.
- Communicates clearly with both technical and non-technical stakeholders.
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