Staff Software Engineer (Enabling Teams) in London

If you’re a collaborator who wants to help transform how businesses operate globally, get in touch – we’d love to discuss how Ebury can accelerate your career so you can shape the future.

Requirements

• Strong technical foundation in computer science or a closely related discipline, gained through formal education and/or equivalent industry experience, with evidence of continuous learning and technical depth.
• Experience working in fintech or within the financial services industry.
• Extensive experience building and operating production systems at scale. While this often aligns with 10+ years in industry, we value demonstrated impact, sound judgement, and leadership over tenure alone.
• Deep understanding of core computer science concepts — including data structures, algorithms, system design, and complexity trade-offs and the ability to apply them pragmatically to real-world, high-scale problems.
• Proven ability to design, write, and evolve high-quality software in one or more modern programming languages, with a strong focus on maintainability, performance, and operational robustness.
• Exceptional problem-solving and analytical skills, able to decompose ambiguous, multi-dimensional problems and drive them to clear, effective technical outcomes.
• Strong communication and influencing skills, capable of articulating complex technical ideas clearly, building alignment across teams, and constructively challenging assumptions at all levels.
• A collaborative leadership mindset, with a track record of mentoring engineers, raising technical standards, and contributing positively to engineering culture beyond individual delivery.

What the job involves

• Ebury is seeking exceptional and highly motivated Staff Software Engineers to join our engineering division in London. This is an opportunity to make a significant impact within a leading FinTech firm.
• As a Staff Software Engineer, you will be an integral part of our team from your first day, contributing to mission-critical projects and deploying production code within your first week.
• As a Staff Engineer, you'll work across one or more product squads alongside other Engineers, Product Designers, and Product Managers.
• We’ll expect you to work on the hardest problems and guide the team to smart tradeoffs. You’ll be able to dive into the details but will also always have the big picture in mind.
• You'll play a key role within Engineering leadership and build close relationships with stakeholders across the business.
• We are committed to identifying and nurturing future technical leaders; for those who demonstrate exceptional performance and aptitude, we offer an accelerated path for career progression.
• Provide technical leadership across one or more critical domains, owning the design and evolution of large-scale, business-critical systems within our global financial platform.
• Set architectural direction by leading system design, making high-leverage technical decisions, and driving alignment on long-term technology strategy across teams.
• Partner closely with Product, Design, and Engineering leadership to translate business outcomes into scalable, resilient technical solutions, influencing roadmap decisions and trade-offs.
• Operate across the full system lifecycle, from early discovery and architecture through to production operations, reliability, performance, and cost optimisation.
• Raise the technical bar organisation-wide by defining and evolving engineering standards, guiding design reviews, and mentoring senior engineers to multiply impact beyond your own code.
• Act as a force multiplier by identifying systemic risks, technical debt, and cross-team dependencies early, and proactively driving initiatives that improve velocity, quality, and resilience at scale.
• Champion engineering excellence through strong opinions on testing strategies, CI/CD, observability, and operational readiness, ensuring systems are secure, compliant, and production-grade.
• Lead by example in modern engineering practices, including the responsible use of AI-assisted development tools to accelerate delivery and learning, while maintaining deep understanding, accountability, and ownership of all solutions produced.