This role involves taking on significant technical responsibilities and raises the quality and safety of what Mable builds, improves the tools used to build it and grows the engineers who build it. It leads through technical expertise and influence and it uses AI to do the work and help others do the same.
Key Responsibilities
Develops software solutions for leverage across multiple teams.
Acquires or builds tools for use across the engineering organisation.
Documents and demonstrates solutions by developing documentation, diagrams and clear example code.
Assists in incident management and fixes for Mable systems.
Improves operations by conducting systems analysis and recommending changes in tooling or procedures.
Provides information by collecting, analysing, and summarising development and service issues.
Coaches and mentors engineers. Pairs on real work, reviews code to teach, and runs training for individuals and teams.
Performs system architecture analysis and design
Identifies system-level improvements and deficiencies, and bring them to light
Uses AI tools to code, review, and debug. Coaches others on using them well.
Builds AI into the dev and CI tooling
Skills, knowledge and experience
Excellent communication skills and team-oriented mindset.
Mentored and grown other engineers
Strong grasp of good testing practices and the testing pyramid.
Strong grasp of clean code principles.
Experience using CI/CD tooling such as git and GitHub Actions.
Experience using AI tools in your daily work and know where they help.
Experience applying DevOps and CI/CD approaches to drive quality in software delivery.
Hands-on experience with quality tooling, such as static analysis, automated testing, security scanning and accessibility checks and understand when they’re appropriate.
Experience introducing and championing quality improvements in development teams.
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