National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Software Developer

Milton Keynes
1 month ago
Applications closed

Related Jobs

View all jobs

CRM Solutions Architect - Zoho

Lead Python Software Engineer

Senior Developer

Lead Developer (ASP.Net, C#, AWS, SQL Server, React)

Senior Software Architect

Lead Developer

Lead Software Developer - Milton Keynes - Hybrid (2 days in office) - Up to 85K + Bonus + 25 Days Holiday + 2 Wellbeing Days + Private Healthcare

We are looking for a highly motivated Lead Software Developer to join an award winning software consultancy who work within both the public and private sectors with the head office in Milton Keynes. The technical team is comprised of over 40 individuals including Developers, Business Analysts, Software Testers, Product owners and Project Managers.

This exciting opportunity will suit a experienced Senior or Lead Software Developer who is looking to have a tangible impact on this expanding and successful organisation. They employ over 120 people, turning over north of £25 million.

They are a big believer in sharing thoughts and encouraging and supporting innovation and creativity. The Lead Software Developer will also be given the chance to be involved in all aspects of the project process from conception through to completion and launch. The environment is relaxed yet professional, gone are the days of a corporate rigid structure. The positions is hybrid with twice a week in office.

Lead Software Developer Key Skills:

  • Scaled Agile Planning: Agile Framework (SAFe) principles, managing project increments and iterations to meet business goals.
  • Team Leadership: Mentor, guide, and support team members in both personal and technical growth. Provide feedback and development opportunities to enhance team performance and career progression.
  • Code & Architecture Oversight: Lead code and architecture reviews to maintain high standards and ensure consistency across projects.
  • Quality Assurance: Take ownership of the team's quality output, embedding robust practices for testing, code quality, and system reliability.
  • An appreciation and keen interest in AI.

    Lead Software Developer Tech Stack:

  • C# / .NET
  • Unit Testing & Integration Testing
  • CI/CD Pipeline Development (Github)
  • Azure or AWS Services (IAM, Lambda, API Gateway)
  • REST APIs, and Web API
  • Angular or React
  • SpecFlow for Behaviour-Driven Development (BDD)
  • Postman for API testing and development
  • OpenAPI
  • MS SQL Server (SQL)
  • MongoDB (NoSQL)
  • Docker

    We are not expecting the Lead Software Developer to be an expert in all the technologies above, just a strong basis knowledge and passion to learn more!

    You will be an enthusiastic Lead Software Developer, a great communicator and have a natural desire to create amazing products. The successful Lead Software Developer should have strong problem solving abilities, organisational skills and the ability lead a team.

    We are interviewing currently so apply now for immediate consideration for the Lead Software Developer position or contact George Harvey at ITSS Recruitment for further information
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Part-Time Study Routes That Lead to Data Engineering Jobs: Evening Courses, Bootcamps & Online Masters

Data engineering is at the heart of modern digital transformation. From building scalable ETL pipelines in finance to designing real-time analytics platforms in e‑commerce, organisations across the UK are investing heavily in data infrastructure. As a result, demand for skilled data engineers—professionals who can ingest, process, store and serve vast volumes of data—is soaring. Yet many aspiring engineers cannot pause their careers to study full time. Thankfully, an extensive range of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master's Programmes—allows you to learn data engineering while working. This in-depth guide covers every route: foundational modules and short courses, hands‑on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re a database administrator, software developer or business analyst aiming to pivot into data engineering, this article will help you map out a tailored path to build in-demand skills without interrupting your professional or personal life.

The Ultimate Assessment-Centre Survival Guide for Data Engineering Jobs in the UK

Assessment centres for data engineering positions in the UK rigorously test your ability to design, build and optimise data pipelines under real-world conditions. Employers use a blend of technical challenges, psychometric assessments, group exercises and interviews to see how you handle data architecture, collaboration and problem-solving at scale. Whether you’re focusing on batch processing, stream engineering or data warehousing, this guide will lead you through every stage with actionable strategies to stand out.

Top 10 Mistakes Candidates Make When Applying for Data Engineering Jobs—And How to Avoid Them

Trying to land your next data engineering job? Discover the 10 most common mistakes UK candidates make—plus practical fixes, expert tips and curated resources to help you secure your ideal role. Introduction From real-time analytics teams in London fintechs to modern data platforms powering Cambridge health-tech, demand for data engineering talent across the UK has never been higher. Yet recruiters on DataEngineeringJobs.co.uk still reject the majority of CVs long before interview—often for small, avoidable errors. We analysed recent vacancies, interviewed in-house hiring managers and mined our most-read resources. The result is a definitive list of the 10 costliest application mistakes, each paired with an actionable fix and a helpful link for deeper learning. Bookmark this checklist before you press Apply.