Design and implement automated trading systems for UK energy markets, develop monitoring dashboards, and create high-throughput data ingestion and streaming pipelines. Strong software-engineering fundamentals and proficiency in Python required.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
We are seeking a Senior Software Engineer to develop trading systems and monitoring tools for our Liquid Air Energy Storage (LAES) plants and grid-stability operations.
This role is fully remote with no requirement for office presence. We support remote collaboration through modern development practices, code reviews, and virtual team coordination.
We value clear thinkers with strong engineering fundamentals who can reason about distributed systems, data integrity, and real-time control.
Python is our primary language (Rust a plus), but we prioritize problem-solving ability and software craftsmanship above specific language experience. Strong engineering fundamentals are more important than specific language expertise — we support a short (:3 week) Python ramp-up period for strong engineers.
Trading Systems Development
- Design and implement automated trading systems for UK energy markets (day-ahead, intraday, balancing, ancillary services)
- Build real-time bidding, dispatch optimization, and pricing algorithms for LAES assets
- Integrate with grid operators and market platforms
- Develop monitoring dashboards, alerting systems, and operational analytics for plant performance
- Build monitoring dashboards for LAES and stability island operations
- Create high-throughput data ingestion and streaming pipelines using Kafka and PostgreSQL / TimescaleDB
- Work with data pipelines using Kafka and PostgreSQL (pg_partman, TimescaleDB)
- Build microservices and APIs for trading platforms, market integration, and system control
- Develop microservices connecting trading platforms and grid operators
- Collaborate with DevOps and Data teams for deployment, monitoring, and production support
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Must Have
Core Engineering:
- Strong software-engineering fundamentals — architecture, testing, and code quality
- Proficiency in Python (or readiness to ramp up quickly within :3 weeks)
- Experience with distributed systems, microservices, and RESTful APIs
- Solid understanding of software design patterns and testing practices
- Hands-on experience with Kafka or similar streaming platforms
- Strong SQL skills with PostgreSQL and time-series data processing
- Familiarity with data-pipeline frameworks and real-time processing
- Experience with Docker and containerized applications
- Understanding of monitoring, logging, and observability practices
- Proficiency in Git and Agile development workflows
- Rust experience
- Exposure to energy markets, trading systems, or optimization algorithms
- Interest in industrial control systems, IoT, or real-world operational data
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We value candidates who can build software using agentic AI coding systems. This is fundamentally different from using code completion tools or chat-based assistants.
What we're NOT looking for:
- GitHub Copilot (code completion/autocomplete)
- ChatGPT or similar chat interfaces for generating isolated code snippets
- Any tool that only provides single-turn question/answer interactions
Ideal candidates will demonstrate:
- Breadth of experience — proficiency with at least 2 agentic systems (experience with only one is insufficient)
- End-to-end development — ability to design and build software from the ground up using these tools, not just generating isolated snippets
- Multi-agent orchestration — demonstrated experience orchestrating multiple agents using skills, tools, and agent
- Deep system knowledge — familiarity with hooks, permission systems, MCP (Model Context Protocol) servers, custom skills and tool definitions, and context management
- Plenty of opportunities for learning and professional growth
- B2b contract with a paid vacation
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