Senior Software Engineer – Agentic Development Enablement

Jobtailor; Greater London; On-site; GBP 90,000 - 110,000; Full time

Job summary

Jobtailor is seeking a software engineer to define and implement governance patterns for AI-assisted development using tools like Claude Code and GitHub Copilot. You will design guardrails, controls, and engineering patterns across local development, CI/CD pipelines, and production platforms.

You will collaborate with platform, security, and enterprise teams to turn research into scalable, observable delivery platforms on AWS, shaping adoption and rollout strategies while ensuring compliant,

Qualifications

• 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 beyond end-user delivery.
• Ability to turn research or experimentation into practical implementation.
• Strong communication skills across technical disciplines and stakeholders.
• Curiosity and sound engineering judgement across discipline boundaries.
• Experience with enterprise adoption of AI-assisted development tools (desirable).
• Familiarity with secure developer environments or policy enforcement (desirable).
• Experience with containerised development environments (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 related to reporting and insight (desirable).

Responsibilities

• Investigate safe patterns for enterprise use of AI-assisted 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.

Skills

Software Engineering

AI-Assisted Development Tools

Cloud Platforms

CI/CD

Observability

Telemetry

Security Controls

Policy Enforcement

Containerised Development

Engineering Reporting

Tools

AWS

GitHub Copilot

Claude Code

Job description

• 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