Director, AI-Driven Full-Stack Engineering

Hackajob Ltd; Leeds; On-site; GBP 61,000 - 101,000; Full time

Job summary

Hackajob Ltd. is seeking a Director, Full-Stack Engineer to join our Enterprise Transformation Hub. The role focuses on accelerating AI-enabled solutions across the engineering and transformation ecosystem, connecting front-end experiences with data and context layers for high-impact outcomes.

Based in the UK, the role requires leadership across product, engineering and platform teams, with a drive to turn emerging AI opportunities into scalable capabilities that improve efficiency and insight.

Qualifications

• Bachelor's degree in CS or engineering or equivalent work experience.
• Extensive software development experience; securities/finance industry a plus.
• Proficient with Python, SQL, Java, JavaScript, JSON and TypeScript.
• Strong communication and mentoring abilities; teamwork-oriented.
• Understanding of IT plans, interdependencies and business impact.

Responsibilities

• Consult with IT and business managers on issues and questions in our area of expertise.
• Resolve highly complex problems impacting business operations.
• Write well-designed, testable code and develop supporting documentation.
• Develop tests and test automation, integrate components into a full system.
• Mentor junior engineers and advocate secure, private IT strategies.
• Shape broad technology strategies using knowledge of multiple techs.
• Stay current with emerging tech and complete mandatory trainings.
• Leverage learning tools to achieve development goals.
• Educate leaders and present IT strategies to support decisions.
• Advocate innovative tech solutions and mentor junior engineers.

Skills

Java

JavaScript

Python

SQL

JSON

TypeScript

Full-stack development

Mentoring

Communication

Education

Bachelor's degree in computer science or engineering

Tools

Mainframe systems

Job description

Hackajob Ltd. is seeking a Director, Full-Stack Engineer to join our Enterprise Transformation Hub. The role focuses on accelerating AI-enabled solutions across the engineering and transformation ecosystem, connecting front-end experiences with data and context layers for high-impact outcomes.

Based in the UK, the role requires leadership across product, engineering and platform teams, with a drive to turn emerging AI opportunities into scalable capabilities that improve efficiency and insight.