Engineering Manager – Agentic Engineering

Job not on LinkedIn

🔥 0 minutes ago

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

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💵 £94k - £141k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

🇬🇧 UK Skilled Worker Visa Sponsor

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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

• Lead and grow a team within the Agentic Engineering organization • Set technical direction across the agent harness, integrations, and workflows • Contribute to architecture and implementation decisions • Evolve agent execution, tool use, context management, streaming, and long-running workflows • Extend the provider-agnostic architecture as models and capabilities change • Partner with Product and Design to turn agent capabilities into useful developer experiences • Improve reliability, performance, and operability across agentic systems • Coach engineers, raise the technical bar, and clarify priorities and tradeoffs

🎯 Requirements

• Experience managing and growing software engineering teams • Strong hands-on engineering experience with Go • Experience with React and TypeScript • Hands-on experience building systems around LLMs and agentic workflows • Experience with model APIs, tool calling, context management, or agent loops • Strong distributed systems knowledge • Working knowledge of AWS • Strong technical judgment and comfort working through ambiguity • Track record of helping engineers grow while maintaining a high execution bar

🏖️ Benefits

• Equity • Bonus • Remote work arrangement • Transparent, consistent, and enjoyable interview process • Interview process targeted for completion in two to four weeks, if schedules allow • AI tooling permitted for take-home assessments • Equal employment opportunities

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