Senior Backend Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Deliver features across multi-tenant data platform services, encompassing data ingestion, schema management, effective dating, snapshots, calculated fields, and exports, exclusively utilizing AI agents.

• Create structured, testable Product Requirement Prompts and specification documents.

• Maintain the versioned specification library that governs the codebase.

• Operate multiple agents concurrently across various workstreams.

• Assess agent outcomes in relation to specifications.

• Enhance the first-pass success rate of agents, reduce defect escape rates, and facilitate changes merged without human oversight.

• Construct and sustain the agentic pipeline, which includes the agent harness, blueprint engine, MCP tool layer, warm sandbox pool, and retrieval over code, tickets, and historical pull requests.

• Track token usage, task latency, and cost associated with each pipeline run.

• Implement model-tier routing and cost-per-outcome gating.

• Integrate governance through audit trails, feature ownership, and data-classification gates.

• Design external behavioural scenario suites, holdout sets, digital twins, layered AI-review gates, and automated remediation systems.

• Enforce performance constraints for bulk ingestion, large export streaming, memory behaviour, and complex SQL operations.

• Diagnose and resolve production data challenges through agents in collaboration with Support and Engineering.

• Document specifications, scenarios, and pipeline decisions.

• Assist other engineers in adopting agent-driven development methodologies.

⛳️ Requirements

• Senior-level experience in developing production backend services.

• Proficiency with .NET/C# and PostgreSQL systems.

• Proven transition from coding to directing AI agents; a significant portion of recent production output must be AI-generated under the candidate's oversight.

• Hands-on expertise with AI coding agents, with a strong preference for Claude Code.

• Experience with parallel agent sessions, custom skills, and sub-agents.

• Ability to organize codebases and context for dependable agent operations.

• Exceptional skills in drafting precise, agent-executable Product Requirement Prompts (PRPs) and specification documents.

• Strong verification engineering capabilities, including behavioural and scenario-based testing, holdout evaluation, quality gates, and validation frameworks.

• Excellent judgment in architecture concerning performance, scalability, and reliability.

• Experience in establishing agent infrastructure, including MCP servers, tool layers, sandboxed execution, and CI/CD for agent-driven workflows.

• Profound reading fluency in .NET/C# and SQL.

• Understanding of schema design, query plans, streaming vs. buffering, and memory behaviour.

• Outstanding written communication skills.

• Experience with digital twins or service virtualisations is a plus.

• Experience with large language model (LLM) evaluation at scale is a plus.

• Familiarity with multi-tenant SaaS architecture, CDC/event-driven ingestion, lakehouse, Azure, Docker, Kubernetes/Helm, AI code compliance frameworks, or compensation/HR/pay transparency is advantageous.

🏝️ Benefits

• Dynamic and autonomous work environment.

• Collaboration with a passionate, diverse, and talented global team.

• Opportunity to effect meaningful change by contributing to a fairer future for all employees.

• Career growth possibilities and the chance to unleash your ambition.