At a Glance
- Tasks: Lead backend engineering projects and shape the future of AI-driven due diligence.
- Company: Join Xapien, a fast-growing AI tech company transforming due diligence.
- Benefits: Enjoy unlimited holidays, private health insurance, and a £1k professional development fund.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
- Qualifications: 10+ years in software engineering with strong backend skills; Go experience is a plus.
- Other info: Be part of a collaborative team that values learning and innovation.
The predicted salary is between 80000 - 100000 £ per year.
About Us
Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes.
Our momentum so far includes customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand is accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania.
Why this is an exciting time to join
This isn’t just another tech role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters, now is the moment to be a part of Xapien.
The Role
We’re hiring a Staff Backend Engineer to join our engineering team in a high-impact technical leadership role. You’ll work on our most challenging technical problems, own parts of our platform's architecture, and help shape the technical direction of our backend stack. Our tech stack centres on Go microservices, with Temporal workflows and MongoDB running on Kubernetes in GCP. You’ll work with modern patterns including event-driven architectures, gRPC and REST APIs, and comprehensive observability with Grafana Cloud.
We’re an AI-native engineering team. We use Claude Code daily and we’re investing heavily in AI-assisted development as a core part of how we build software — not as an experiment, but as a first-class engineering practice. We want engineers who are excited about this and who have ideas about how to push it further: how to decompose work for AI agents, how to maintain quality at higher velocity, and how to help an entire team get dramatically more productive with these tools.
You’ll take technical ownership of major domains within our platform — whether that’s our Investigations pipeline (web scraping, data provider integrations, LLM-powered analysis) or our Core App systems (user journeys, features, and configuration). You’ll be a technical authority, establishing patterns that others follow and driving initiatives that span multiple teams.
What You’ll Do
- Own the technical direction and architecture for parts of our platform
- Design and build complex backend services and systems that scale
- Drive technical decisions that affect multiple teams
- Establish patterns, standards, and best practices that others will follow
- Shape and evolve our AI-assisted development practices, setting the standards for how the team works effectively with AI tooling
- Use AI tooling to multiply your own output and help the wider team do the same, rethinking how engineering work is planned, decomposed, and delegated
- Lead complex technical initiatives from design through implementation
- Identify and address systemic technical challenges across our backend
- Set the standard for high-quality code, whether written by hand or with AI — knowing when to trust, when to intervene, and what good looks like either way
- Mentor engineers across the organization, raising the technical bar
- Balance technical excellence with pragmatic delivery
- Influence technology choices and architectural direction
- Collaborate with engineering leadership on technical strategy
- Build new systems and features while improving our existing architecture
What We’re Looking For
Essential:
- 10+ years of professional software engineering experience
- Strong backend engineering fundamentals — we use Go, but we’re hiring an engineer, not a language specialist. If you’re excellent and haven’t written Go before, that’s fine.
- Proven track record of designing and owning large-scale systems
- Strong experience with distributed systems, event-driven architectures, or similar complex systems
- Deep understanding of databases, particularly MongoDB or similar NoSQL systems
- Extensive experience with microservices architecture and inter-service communication
- Expert-level understanding of containerization (Docker) and orchestration (Kubernetes)
- Experience working with AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a core part of your development workflow, with a perspective on how to get the most value from them
- Experience establishing technical standards and patterns across teams
- Strong architectural thinking with ability to balance trade-offs
- Track record of mentoring and developing other engineers
- Ability to drive technical initiatives with minimal guidance
- Experience influencing technical direction at an organizational level
- Excellent communication skills with ability to articulate complex technical concepts
Highly Desirable:
- Experience with Temporal or similar workflow orchestration systems at scale
- Deep knowledge of event streaming platforms like Kafka
- Experience with LLMs and AI integration (particularly for Investigations team)
- Experience driving AI tooling adoption and practices across an engineering team — establishing shared conventions, measuring impact, and helping engineers level up
- Background in SaaS platforms or B2B products at scale
- Expert-level knowledge of observability tools (Grafana, Prometheus, etc.)
- Deep understanding of authorization patterns, security, and multi-tenancy
- Experience with protobuf and gRPC
Our Tech Stack
- Languages: Go
- Databases: MongoDB
- Messaging & Orchestration: Temporal, Kafka
- APIs: REST, gRPC, protobuf
- Infrastructure: Kubernetes, GCP
- Observability: Grafana stack
- AI/ML: LLMs (OpenAI, Gemini), RAG systems
- Development Tools: Claude Code, AI-assisted development workflows
What Success Looks Like
In your first 6 months, you will have:
- Owned and driven a significant technical initiative to completion
- Established new patterns or improved existing ones across teams
- Mentored multiple engineers, visibly raising technical standards
- Contributed to architectural decisions
- Been recognized as a technical authority in your domain
- Made measurable improvements to system reliability, performance, or scalability
- Influenced the technical direction of our backend platform
- Helped evolve our AI-assisted engineering practices, contributing to how the team gets more value from our tooling
Here’s our promise to you
We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do your best work. We succeed together - you will own a meaningful part of the business through our employee shares & equity programme. Private health insurance to keep you in tip-top condition. Life Insurance – let’s hope nobody ever needs this! Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it. Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work. Most importantly of all, we will work with you, to help you realise your fullest potential, always.
Staff Engineer in London employer: Xapien
Contact Detail:
Xapien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those using Go or AI tools. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to backend engineering. We all know that confidence is key, so get comfortable talking about your experience!
✨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 genuinely interested in joining us.
We think you need these skills to ace Staff Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Staff Engineer role. Highlight your experience with backend systems, especially in Go, and any relevant projects that showcase your skills in AI-assisted development.
Showcase Your Technical Expertise: Don’t just list your skills; demonstrate them! Include specific examples of complex systems you've designed or owned, and how you’ve influenced technical direction in previous roles. We love seeing real-world applications of your knowledge.
Be Authentic: Let your personality shine through in your application. We’re looking for engineers who are not only technically proficient but also passionate about innovation and learning. Share your thoughts on AI tooling and how it can enhance engineering practices.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Xapien
✨Know Your Tech Stack
Familiarise yourself with the tech stack mentioned in the job description, especially Go, MongoDB, and Kubernetes. Be ready to discuss your experience with these technologies and how you can apply them to solve complex backend challenges.
✨Showcase Your AI Experience
Since Xapien is heavily invested in AI-assisted development, come prepared to share specific examples of how you've used AI coding assistants like Claude Code or Copilot in your workflow. Highlight any innovative ideas you have for integrating AI into engineering practices.
✨Demonstrate Leadership Skills
As a Staff Engineer, you'll be expected to mentor others and drive technical initiatives. Prepare to discuss past experiences where you've led projects or teams, established best practices, or influenced technical direction within an organisation.
✨Prepare for Technical Challenges
Expect to face technical questions that assess your problem-solving skills and architectural thinking. Brush up on distributed systems, event-driven architectures, and microservices. Be ready to articulate your thought process and trade-offs when designing scalable systems.