Python Backend Engineer

Accountabilities: In this role, you will take ownership of backend engineering projects, delivering reliable and scalable solutions that address real customer needs. Your main responsibilities will include: Build and develop the Agent Control Plane, enabling customers to deploy, operate, and manage their own fleets of AI agents. Design, develop, and maintain Python backend services using frameworks such as FastAPI and Flask to support security detection, investigation, and AI-assisted resolution. Develop the AI agent layer, including tool-calling capabilities, Model Context Protocol (MCP) integrations, and human approval mechanisms before executing actions on live systems. Design, model, and query large-scale security datasets using ClickHouse while ensuring strict tenant isolation. Take end-to-end ownership of assigned projects, from understanding customer challenges and defining technical solutions to implementation and delivery. Engage directly with customers to understand their requirements, address technical issues, and ensure successful outcomes. Independently manage priorities and deliver high-impact engineering work while maintaining effective communication with the wider team. Leverage AI agents and advanced language models to explore unfamiliar technologies, navigate existing codebases, and accelerate development. Manage two major engineering projects simultaneously while contributing to smaller AI-driven initiatives. Maintain high standards of code quality, testing, system reliability, and observability. Requirements: The ideal candidate is an experienced Python engineer with strong backend development capabilities, a hands-on approach to AI-assisted software engineering, and the ability to work independently while remaining closely connected to customers and teammates. The following qualifications are expected: At least 5 years of overall professional software engineering experience. At least 5 years of hands-on experience developing and maintaining production-grade Python applications. Daily, practical experience using AI agents and advanced AI models to build software. Proven ability to use Large Language Models (LLMs) independently to learn unfamiliar technical concepts, navigate new codebases, and deliver working solutions. Experience designing distributed systems and scalable backend services. Strong understanding of API architecture, design principles, and data modelling. High standards for software testing, correctness, reliability, and observability. Demonstrated ability to own features and projects from initial customer requirements through implementation and problem resolution. Strong customer-oriented mindset and willingness to communicate directly with customers. Ability to identify urgent priorities, respond quickly, and focus on tasks with the greatest business impact. Strong autonomy, decision-making, and organizational skills, with the ability to work independently without constant supervision. Excellent communication and collaboration skills, including the ability to explain technical decisions and implementation approaches clearly. Growth-oriented mindset, openness to constructive feedback, and willingness to revisit or improve existing solutions when necessary. Strong sense of accountability, reliability, and attention to detail, with a proactive approach to communicating challenges and delivering commitments. Ability to collaborate effectively with colleagues rather than working in isolation. Availability to work remotely during UK business hours. Ability to start as soon as possible. Nice-to-have qualifications: Experience developing backend applications with FastAPI or Flask. Familiarity with ClickHouse or other columnar analytics databases. Production experience with AI agent frameworks, LLM tool calling, Model Context Protocol (MCP), or Retrieval-Augmented Generation (RAG). Experience building or maintaining multi-tenant Software-as-a-Service (SaaS) platforms. Background in cybersecurity, detection engineering, or large-scale event processing. Additional programming experience with C++ or TypeScript. Benefits: Fully remote working arrangement. Full-time, long-term professional opportunity. Opportunity to work on an innovative AI-native cybersecurity platform. Exposure to advanced AI agents, frontier language models, and emerging engineering technologies. Significant autonomy and end-to-end ownership of impactful engineering projects. Direct collaboration with an international, multidisciplinary engineering team. Opportunities to work on complex challenges involving distributed systems, cybersecurity, and large-scale data infrastructure. Supportive, remote-first working environment focused on professional development, collaboration, and employee well-being. Opportunity to contribute to meaningful products while developing technical expertise in a rapidly evolving field.