Tribe Lead - ( Software) Engineering Centre of Excllence in London

Tribe Lead - ( Software) Engineering Centre of Excllence in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Lead the transformation of software engineering with AI and modern practices.
  • Company: Join a leading HR tech company revolutionising payroll solutions across Europe.
  • Benefits: Flexible hours, remote work, learning opportunities, and career growth.
  • Other info: Collaborative culture focused on continuous improvement and community building.
  • Why this job: Shape the future of software engineering and drive innovation in a dynamic environment.
  • Qualifications: 10+ years in software engineering and experience in leading transformation initiatives.

The predicted salary is between 70000 - 90000 £ per year.

the company is a leading payroll and HR technology company in Europe, serving millions of employees in over 27 countries.

We are transforming from a traditional Saa S software organization into an AI-native technology company.

This transition involves more than just adopting new tools, we aim to move away from manual coding and embrace orchestration, code review, and AI-enhanced craftsmanship.

We are looking for a Tribe Lead for our Software Engineering Centre of Excellence (Co E) to drive this transformation.

The Co E will establish engineering excellence by improving engineering maturity, adopting AI-native practices, setting modern standards, and fostering continuous learning and innovation.

In this role, you won’t manage day-to-day project delivery.

Instead, you’ll serve as a strategic advisor focused on high-impact initiatives that enhance our software engineering practices across the organisation.

Your goal is to define our "Operating System" for engineering, transitioning us from a service provider to a technology powerhouse through advanced AI and industry-leading standards.

The future of software engineering involves orchestrating AI agents to generate, analyse, test, secure, and optimise software, allowing engineers to focus on architecture, validation, governance, and complex problem-solving.

This is a strategic leadership role aimed at increasing the effectiveness and maturity of our software engineering efforts.

About the role

As Tribe Lead of the Co E, you will define world-class software engineering at the company.

You’ll advise engineering leadership on trends, modern practices, and AI-native development to accelerate our evolution into a modern technology company.

Your responsibilities include improving engineering capabilities, driving AI adoption, and embedding excellence across every engineering team.

Rather than overseeing daily delivery, you will set standards, influence culture, coach leaders, and ensure our practices keep pace with technological change.

  • Your Mission
  • Lead the Software Engineering Centre of Excellence to improve engineering maturity at the company.
  • AI-Native Engineering Transformation Define the collaboration between engineers and AI throughout the Software Development Lifecycle.

Evolve engineers from software developers to AI-powered engineering orchestrators.

Promote the adoption of AI-assisted and agentic software engineering in design, coding, testing, documentation, operations, and continuous improvement.

  • Orchestrate AI Transformation:- Set standards for how humans and AI collaborate in designing, reviewing, and delivering software.
  • Drive
  • Engineering

Excellence:- Advise teams on modern engineering practices and establish common engineering standards, quality practices, and governance to enable faster, more secure, and consistent software delivery while preserving team autonomy.

  • Set the Bar: Create non-negotiable standards for quality and security to ensure that autonomy does not compromise coherence
  • Increase
  • Software
  • Engineering

Maturity: Continuously enhance capabilities across the company by adopting modern practices, benchmarking against leading companies, and implementing engineering maturity models for ongoing improvement.

  • Key Impact Areas
  • 1. Driving the AI-Native Transformation
  • Define and execute the strategy for AI-augmented engineering (Git Hub Copilot, agentic workflows, automated remediation).
  • Move the organization from "experimenting with AI" to standardizing it as a core competency, measuring the impact on velocity and code quality.
  • Modernize our approach to legacy systems, using AI to accelerate refactoring and reduce technical debt.
  • Drive the shift from "developer-as-coder" to "developer-as-orchestrator," ensuring our teams effectively leverage agentic AI to manage complex workflows.
  • Define the metrics for "AI-augmented productivity," focusing on how AI accelerates the software development lifecycle (SDLC) and improves output quality.
  • 2. Advancing Engineering Maturity
  • Act as the primary advisor to leadership on emerging industry standards in software engineering, ensuring the company remains competitive with top-tier technology companies.
  • Design and deploy "Engineering Crews"—swat teams of experts who embed with tribes to solve critical bottlenecks and upskill teams on advanced technical patterns.
  • Cultivate a culture of continuous improvement, utilizing data-driven insights to elevate our engineering rigor and craftsmanship.
  • 3. Governance & Technical Standards
  • Manage the maturity model for our internal engineering practices, providing a clear roadmap for tribes to transition high-performing, AI-augmented states.
  • Improve Developer Experience (Dev Ex) by reducing engineering friction and increasing engineering effectiveness.
  • Advise leadership on emerging engineering trends, technology strategy and engineering organisational design.
  • 4. Cultivating Talent & Community
  • Lead the the company Campus team and Practice Guilds (Frontend, Backend, QA) to drive peer-to-peer learning and standardization.
  • Design career paths that reward both deep specialization (T-shaped skills) and high-leverage generalists.
  • Success Metrics
  • Engineering Maturity Index: Measurable increase in adherence to group engineering standards and best practices using DORA metrics.
  • AI Adoption Velocity: Adoption rate of agentic AI workflows across tribes and the measurable impact on code quality and review cycles.
  • Quality & Security Velocity: Reduction in technical debt and successful integration of automated, friction-free quality gates.
  • Dev

Ex Satisfaction: Improvement in developer experience scores as teams focus on high-leverage work rather than manual toil.

What do you have to offer?

  • Experience: 10+ years in software engineering, with 5+ years leading engineering transformation, or developer experience at scale (500+ engineers), Engineering Excellence or Centre of Excellence initiatives within large-scale technology organisations.
  • The "Change Agent" Gene: You have a track record of shifting engineering culture. You know how to sell a vision, build coalitions, and overcome resistance.
  • AI Pragmatism: You are hands-on with the latest AI coding tools (Copilot, Cursor, etc.) and understand the difference between hype and genuine productivity gains.
  • Product Mindset: You don't just build tools; you solve problems for your internal customers. You use data to prioritize.
  • Technical

Depth: Deep understanding of cloud-native architectures, Dev Ops patterns, and security-by-design.

Experience influencing senior engineering leadership and driving organisation-wide technical change.

You can debate architecture with Principal Engineers.

  • Passion for continuously evaluating emerging engineering practices and translating them into measurable business value.
  • Leadership
  • Leadership Style: Collaborative, empathetic, and "servant-leader" oriented. You lead and coach through influence and value creation, not command-and-control.
  • You are a recognised engineering leader who influences through technical credibility, collaboration and vision.
  • You build engineering communities, mentor senior technical leaders and create environments where engineering teams continuously improve.

What do we have to offer?

  • A dynamic environment: flexible working hours and working from home
  • Workation: possibility to work from any the company location (4 weeks per year, EU only)
  • Free language courses (during your working hours)
  • Referral program
  • Learning opportunities: through an individual development plan and professional training
  • Career growth: whether you want to become more of an expert in your field or expand your knowledge horizontally, there’s always room to grow within the company!

*As this is an international role open in multiple countries, the full benefits package depends on the specific location.* *Salary range information will be shared with candidates during the initial interaction with the Talent Acquisition team, either by phone or email.*

Why Join the company?

Shape the Future: You will be the architect of our HR tech & services future, with the budget and C-level sponsorship to make real change.

Scale: Your decisions will impact 1,400+ people and products used across 27 countries.

This is a unique opportunity to shape the future of software engineering across one of Europe's largest HR technology organisations.

You will define how hundreds of engineers build software, accelerate the company's transformation into an AI-native technology company, and establish the engineering standards, practices and capabilities that will enable the organisation to compete with the world's leading technology companies.

Innovation: We are committed to being a leader in AI adoption—you will have the resources to push the boundaries of what's possible.

the company values diversity and inclusion in the workplace.

We welcome applications from all qualified candidates regardless of origin, nationality, gender, gender identity, sexual orientation, age, disability, religion, ethnic or social background, or stage of life.

All hiring decisions are made based on skills, experience and role‑related qualifications.

#J-18808-Ljbffr

Tribe Lead - ( Software) Engineering Centre of Excllence in London employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Tribe Lead - ( Software) Engineering Centre of Excllence in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at United States Digital Space LLC or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to United States Digital Space LLC.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like United States Digital Space LLC.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like United States Digital Space LLC that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Tribe Lead - ( Software) Engineering Centre of Excllence in London

AI-Native Development
Software Development Lifecycle (SDLC)
Engineering Transformation
Cloud-Native Architectures
DevOps Patterns
Technical Standards
Data-Driven Insights

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at United States Digital Space LLC

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.