- Investigate safe patterns for enterprise use of agentic development tools such as Claude Code and GitHub Copilot
- Design and implement guardrails, controls, and engineering patterns for AI-assisted development
- Contribute to endpoint and platform observability, telemetry, and policy enforcement
- Define how controls work consistently across local development environments and CI/CD pipelines
- Explore changes to development environments, including containerised or backend-offloaded approaches
- Run research, proof-of-concept work, and technical experimentation
- Work across engineering, platform, security, and adjacent enterprise teams to turn concepts into operating solutions
- Shape scalable practices for governance, rollout, and developer adoption
- Help build an AI-enabled delivery platform on AWS to modernise the path to production
Requirements
- Strong hands-on background as a software engineer
- Broad technical understanding across developer tooling, cloud platforms, operating systems, desktop environments, security controls, observability, telemetry, and CI/CD
- Experience working on developer workflows and engineering ways of working, not only end-user application delivery
- Ability to work in ambiguous problem spaces and turn research or experimentation into practical implementation
- Strong communication skills and ability to work across technical disciplines and stakeholder groups
- Curiosity, sound engineering judgement, and comfort operating across discipline boundaries
- Experience with enterprise adoption of AI-assisted development tools (desirable)
- Familiarity with secure developer environments, enterprise guardrails, or policy enforcement (desirable)
- Experience with containerised development environments or remote/offloaded development models (desirable)
- Exposure to telemetry, usage analytics, or engineering reporting pipelines (desirable)
- Experience in regulated or control-heavy enterprise environments (desirable)
- Some data engineering or analytics capability, particularly where reporting and insight generation are part of the role (desirable)
Core Competencies
Demonstrates expertise in AI-assisted development tools, cloud platforms, and secure developer environments, with a strong focus on implementing governance and engineering patterns. Capable of translating research and experimentation into practical solutions while fostering collaboration across technical disciplines.
Highest-signal resume keywords
- Software Engineering
- AI-Assisted Development Tools
- Cloud Platforms
- CI/CD Pipelines
- Secure Developer Environments
ATS Optimization Keywords
Hard Skills
- Software Engineering
- AI-Assisted Development Tools
- Cloud Platforms
- CI/CD
- Observability
- Telemetry
- Containerised Development
- Data Engineering
- Policy Enforcement
- Engineering Reporting
Soft Skills
- Strong Communication
- Curiosity
- Sound Engineering Judgement
Industry Keywords
- Enterprise Adoption
- Governance
- Developer Workflows
- Regulated Environments
- Control-Heavy Environments
Tools & Technologies
- AWS
- GitHub Copilot
- Claude Code
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Senior Software Engineer – Agentic Development Enablement in London employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
