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For Companies At a Glance
- Tasks: Lead engineering squads to build a cutting-edge AI-native fintech platform.
- Company: Join a forward-thinking fintech company revolutionising financial services.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of finance with innovative technology and hands-on leadership.
- Qualifications: Proven experience in technical leadership and cloud-native development.
- Other info: Dynamic environment with a focus on modern engineering practices and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Contract: 12 months initial (likely extensions)
The Opportunity
We’re building a greenfield, AI-native fintech platform from the ground up. This isn’t a migration project or a lift-and-shift of legacy technology. It’s a brand-new engineering environment designed to support modern financial services across payments, onboarding, lending, and core banking capabilities. Our engineering organisation operates through autonomous product squads, supported by strong platform foundations and modern DevOps practices. AI-assisted development and agentic AI patterns are embedded across the lifecycle to accelerate delivery, automate operational workflows, and enhance decision-making.
The Role
As Technical Lead for a value stream, you will provide hands-on technical leadership across 1–3 engineering squads. You’ll be responsible for shaping architecture, supporting delivery teams, and ensuring that systems are designed with scalability, security, and resilience in mind. This role sits close to delivery rather than governance. You’ll collaborate with product, platform, security, and data teams to ensure engineering outcomes align with broader platform strategy.
Key Responsibilities
- Co-own delivery outcomes alongside a Product Lead
- Shape cloud-native architecture and engineering standards
- Support squads in designing and delivering API-first and event-driven systems
- Ensure security, resilience, auditability, and scalability are embedded by design
- Collaborate with platform, data, and security teams to align with enterprise engineering standards
- Champion modern engineering practices including CI/CD, infrastructure-as-code, and automated testing
Required Experience
- Proven technical leadership in high-velocity engineering environments (fintech, SaaS, technology platforms, or regulated sectors)
- Experience implementing agentic AI patterns to support intelligent workflows, automation, or decision support
- Knowledge of payments platforms and schemes such as Faster Payments, BACS, CHAPS, or SWIFT
- Cloud-native development experience including Kubernetes and Infrastructure-as-Code
- Experience leading and supporting multiple engineering squads
- Expertise in API-first and event-driven architectures
- Experience delivering systems with strong security, resilience, and auditability requirements
Technology Environment
Our teams work with a modern engineering stack including:
- Languages: TypeScript, Java, Python
- CI/CD: GitHub Actions, automated pipelines, semantic versioning
- Data & Streaming: Kafka, cloud data warehouse and lake architectures
- Observability: Metrics, distributed tracing, structured logging
- Security: Cloud-native secret management and automated security scanning
- AI Tooling: Integrated AI development tools and agentic AI workflows embedded into engineering processes
What Success Looks Like (First 6–12 Months)
- Engineering squads operating with clear service boundaries and contracts
- Independent, high-frequency delivery supported by robust CI/CD pipelines
- Strong automated testing coverage improving delivery confidence
- Measurable reduction in production incidents and operational overhead
- Mature observability and operational practices across services
Apply today for immediate consideration!
Engineering Manager (AI-Native Fintech) employer: Brookwood Recruitment Ltd
Contact Detail:
Brookwood Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager (AI-Native Fintech)
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who are already working with AI and cloud-native technologies. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with API-first architectures and agentic AI patterns. Use GitHub to showcase your projects, especially if they involve modern engineering practices like CI/CD and infrastructure-as-code. This will make you stand out when we’re looking for hands-on leaders.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of payments platforms and cloud-native development. Be ready to discuss how you’ve shaped architecture and supported delivery teams in past roles. We love candidates who can demonstrate their expertise in real-world scenarios!
✨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, it shows you’re genuinely interested in joining our team and contributing to building something amazing in the fintech space.
We think you need these skills to ace Engineering Manager (AI-Native Fintech)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Engineering Manager role. Highlight your technical leadership in high-velocity environments and any experience with AI-native systems, as this is what we’re all about!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about building a greenfield fintech platform and how your background in cloud-native development and API-first architectures makes you the perfect fit for us.
Showcase Relevant Projects: If you've worked on projects involving payments platforms or agentic AI patterns, make sure to mention them! We want to see how your past experiences can contribute to our mission of delivering high-quality, scalable services.
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 this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Brookwood Recruitment Ltd
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like TypeScript, Java, and Python. Be ready to discuss how you've used these languages in past projects, especially in high-velocity environments like fintech.
✨Showcase Your Leadership Skills
Prepare examples of how you've led engineering squads in the past. Highlight your experience in shaping architecture and guiding teams towards delivering scalable and secure systems. Use specific instances where your leadership made a difference.
✨Understand AI Integration
Since this role involves agentic AI patterns, brush up on how you've implemented AI in previous projects. Be prepared to discuss how AI can enhance workflows and decision-making in engineering processes.
✨Emphasise Collaboration
This position requires close collaboration with product, platform, and security teams. Think of examples where you successfully worked across different teams to achieve common goals, and be ready to share how you ensure alignment with broader strategies.