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# Snr Lead Software Engineer - Data Platforms

- **Company:** Hackajob Ltd
- **Location:** Leeds, UK
- **Experience:** Expert
- **Salary:** £100,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Software Quality, Code Review, Software Debugging, Systems Development Life Cycle, Software Tools, Software Engineering, Production Code, Data Management, Programming Languages
- **Published:** September 11, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5878315144

## About the Role

* Formal training or certification on software engineering concepts and 5 years applied experience (NAMR/APAC - India/LATAM/Hong Kong)
 * Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
 * Singapore follow local country guidance
 * Hands-on practical experience delivering system design, application development, testing, and operational stability
 * Advanced in one or more programming language(s)
 * Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
 * Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls
 * Ability to tackle design and functionality problems independently with little to no oversight
 * Practical cloud native experience

## Description

* Regularly provide technical guidance and direction to support our business and its technical teams, contractors, and vendors
 * Develop secure and high-quality production code, and review and debug code written by others
 * Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
 * Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale
 * Drive decisions that influence product design, application functionality, and technical operations and processes
 * Serve as a function-wide subject matter expert in one or more areas of focus
 * Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Technologies:

 * AI
 * Cloud
 * Support
 * Marketing
 * Security


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