At a Glance
- Tasks: Lead and inspire engineering teams to deliver innovative AI and cloud solutions.
- Company: Join a dynamic tech company at the forefront of AI and automation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Work in a collaborative environment with global teams across multiple regions.
- Why this job: Make a real impact by shaping the future of technology with AI.
- Qualifications: Extensive engineering management experience and strong leadership skills required.
The predicted salary is between 90000 - 120000 £ per year.
As the Head of Engineering, you’ll lead and inspire our fast‑growing engineering teams across our key regions in the UK, India, and Spain, collaborating directly with the CTO, VP of Projects, stakeholders, and project teams to define innovative technology solutions and deliver secure, robust, and trustworthy products with AI and automation at the forefront.
Responsibilities
- Lead, mentor, and grow a multi‑disciplinary engineering organisation (15+ engineers across software, data, platform, and AI), fostering a culture of ownership, accountability, autonomy, and continuous improvement.
- Own the end‑to‑end product and solution architecture, with a strong emphasis on code quality, performance optimisation, security, scalability, and responsible AI practices.
- Collaborate closely with the CTO to define and execute a technical roadmap aligned with business strategy, ensuring predictable delivery and long‑term platform evolution.
- Collaborate with Projects, Data Science, and other technical leaders to manage scope, meet delivery commitments, and clearly communicate progress, risks, and trade‑offs to stakeholders.
- Architect, build, and deploy scalable, cloud‑native, AI‑powered, and data‑driven products across AWS.
- Stay current with emerging trends in cloud, platform, data, and AI engineering to continuously evolve organisational standards and solutions.
- Lead the technical evolution of internal AI platforms and systems to enable world‑class predictive and intelligent business operations.
- Drive the integration of AI, automation, agents, and modern tooling (including model context protocol capabilities) to enhance developer productivity and delivery pipelines.
- Champion engineering excellence by defining, influencing, and embedding best practices across the organisation, including DevOps, testing, documentation, microservices architecture, database design, and rigorous security standards.
- Evaluate and continuously improve engineering processes, tools, and frameworks to increase speed, quality, scalability, and time‑to‑market.
- Establish, track, and optimise clear KPIs and delivery metrics to measure quality, performance, and predictability at both team and organisational levels.
- Oversee technology delivery and customer engagements, setting and maintaining a high bar for product excellence and execution.
- Play a key role in hiring, performance optimisation, and succession planning to build and sustain a high‑performing engineering function.
- Lead a geographically distributed engineering organisation primarily based in India, ensuring strong alignment, communication, and delivery excellence with leadership teams in Europe.
Qualifications
- Extensive experience in engineering management and technical leadership, with a proven track record of delivering mission‑critical, high‑value products and services.
- Deep expertise in Agile methodologies, engineering metrics, and building high‑performing, collaborative teams.
- Experience thriving in fast‑paced, rapidly growing, and product‑led organisations, with the ability to align teams, set milestones, and drive results.
- Strong stakeholder management and communication skills, with a focus on over‑communicating, creating alignment, and rallying teams to achieve objectives.
- Attention to detail and a relentless drive to achieve success in your areas of focus, while fostering a positive and collaborative team culture.
- Experience managing distributed or remote teams across multiple time zones.
- Enthusiasm for AI‑enabled engineering, automation, and continuous improvement.
- Expert in PHP and Golang, with substantial experience building large‑scale PHP‑based projects and integrating with external systems.
- Strong knowledge of SQL, relational database design (RDS), and proficiency with AI search technologies (AWS).
- Hands‑on experience with AI technologies and their application in software development.
- A minimum of 12 years in software engineering, with at least 8 years working on large‑scale projects.
- Experience developing software for financial institutions is highly desirable.
- Demonstrated collaborator with a history of working effectively with developers, product teams, and stakeholders.
- Exceptional communicator, able to document processes clearly and interact effectively across teams.
- Skilled troubleshooter with a proven track record of resolving complex technical issues successfully.
Head of Engineering - AI, Cloud & Global Platforms employer: SilverDoor
As the Head of Engineering at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration, continuous improvement, and engineering excellence. With a strong focus on AI and cloud technologies, we offer exceptional growth opportunities and the chance to lead a diverse team across multiple regions, ensuring your contributions directly impact our mission to deliver cutting-edge solutions. Join us in a role that not only challenges you but also rewards you with a supportive environment and the resources to drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Engineering - AI, Cloud & Global Platforms
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and cloud technologies. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios relevant to engineering leadership. Think about how you’d tackle challenges in managing distributed teams and delivering high-quality products.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Head of Engineering - AI, Cloud & Global Platforms
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Head of Engineering role. Highlight your leadership experience, especially in AI and cloud technologies, and don’t forget to showcase your ability to manage distributed teams.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about engineering and how your vision aligns with our mission at StudySmarter. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Expertise:We want to see your technical chops! Include examples of projects where you've implemented AI solutions or led engineering teams. Mention any relevant tools or methodologies you’ve used, especially those related to Agile practices and cloud-native architectures.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at SilverDoor
✨Know Your Tech Inside Out
As the Head of Engineering, you'll need to showcase your deep expertise in AI, cloud technologies, and software engineering. Brush up on your knowledge of PHP, Golang, and SQL, and be ready to discuss how you've applied these in large-scale projects. Prepare examples that highlight your experience with AI technologies and their impact on product delivery.
✨Demonstrate Leadership Skills
This role requires strong leadership and mentoring abilities. Be prepared to share specific instances where you've led multi-disciplinary teams, fostered a culture of accountability, and driven continuous improvement. Highlight your experience in managing distributed teams and how you ensure alignment across different time zones.
✨Communicate Clearly and Effectively
Strong communication skills are crucial for this position. Practice articulating complex technical concepts in a way that's easy to understand. Be ready to discuss how you've managed stakeholder expectations and communicated progress, risks, and trade-offs in previous roles. Over-communicating is key, so show them you can rally teams around shared objectives.
✨Showcase Your Problem-Solving Skills
As a skilled troubleshooter, you should prepare to discuss complex technical issues you've resolved in the past. Think of examples that demonstrate your analytical thinking and ability to drive results under pressure. This will help illustrate your capability to oversee technology delivery and maintain high standards for product excellence.
