Senior Software Engineer, Agentic Engineering

🕒 August 26

🌐 United Kingdom, Ireland, +1 more countries – Remote

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💵 £69k - £104k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

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👻 Ghost score 16%

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Logo of Coder

Coder

11 - 50 employees

☁️ SaaS

🏢 Enterprise

🔐 Security

SaaS • Enterprise • Security

Coder is a company that provides an open-source self-hosted cloud development environment (CDE) platform. The platform allows organizations to deploy development environments across various infrastructures such as VMs, Kubernetes, and cloud services, facilitating secure, fast, and flexible coding solutions. Coder focuses on increasing developer productivity by enabling rapid deployment of fully configured cloud environments, optimizing resource use, and streamlining coding operations for developers, data engineers, and scientists. It enhances security and privacy for development environments by separating desktop environments, allowing safe third-party access, and implementing enterprise-grade security protocols. Coder is SOC2 Type II certified and supports a customizable, enterprise-scalable experience with self-hosting and open-source solutions.

📋 Description

• Design and build production systems in Go, with work across React and TypeScript where needed • Improve agent execution, tool use, context management, streaming, and long-running workflows • Extend the provider-agnostic architecture as models and capabilities change • Build reliable integrations between agents, workspaces, tools, and developer infrastructure • Own projects from implementation through rollout and iteration • Contribute to design reviews, code reviews, and technical discussions • Partner with Product and Design to turn agent capabilities into useful developer experiences • Improve the reliability, performance, and operability of agentic systems

🎯 Requirements

• Strong experience building and operating production software systems • Hands-on experience with Go • Experience with React and TypeScript • Experience building systems around LLMs or agentic workflows • Familiarity with model APIs, tool calling, context management, or agent loops • Good understanding of distributed systems and production reliability • Working knowledge of AWS • Strong problem-solving skills and comfort working through technical ambiguity • Contributions beyond own code through reviews, collaboration, and knowledge sharing • Experience with coding agents, developer tools, or cloud development environments (bonus) • Experience with MCP, agent tools, or multi-agent systems (bonus) • Experience with remote execution, sandboxing, or isolated compute (bonus) • Experience building integrations across multiple model providers (bonus) • Experience with AWS, Kubernetes, Docker, or Linux (bonus) • Open-source contributions or experience working directly with customers (bonus)

🏖️ Benefits

• Equity • Bonus • Transparent interview process • Interview process targeted for completion in two to four weeks, if schedules allow • AI tooling permitted for take-home assessments

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