Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Infrastructure Engineer

Xapien
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Infrastructure & MLOps Engineer

(Senior) Research Scientist - Large Language Models for Genomics

Senior Data Scientist

Engineering Manager - Machine Learning, Training Libraries

Senior DataOps Engineer

Senior Machine Learning Engineer

Company Description

Xapien is one of the brightest and most exciting tech companies to appear over the last few years. The AI-powered automated research platform is redefining background research and gaining critical success from clients.


Every business in the world, in every sector, needs to know who they are engaging with and Xapien helps them answer that question – quickly and accurately. We use deep Natural Language Processing, AI and huge scale cloud infrastructure to automate human research.


We locate, collect, read, distil and assimilate hundreds of thousands of fragments of information – allowing us to understand a person or company like a human would.


We deliver daily insight to major financial institutions, industry regulators, charities and commercial organisations – and the potential market for the solution is enormous.


Founded in 2018 by experts in national intelligence and anti-money laundering, Xapien aims to revolutionise business due diligence with its AI-driven technology. Since securing Series A funding, our team has grown to 50, and we've achieved notable recognitions, including ranking 33rd globally in Chartis Research’s FCC50 and winning the Entity Management award.


The Role

We are looking for an experienced Senior Infrastructure Engineer to help us meet the exciting challenge of scaling our platform to handle growing demand. Our product is experiencing tremendous growth, and we need to ensure that we continue to deliver accurate insights while doubling down on how we architect, coordinate, and maintain our subsystems.


This role requires someone who thrives in a fast-paced environment where continuous innovation and refinement are key. You will play a crucial role in shaping how our technology evolves, ensuring that our systems are scalable, reliable, and capable of meeting future demands. Working alongside our engineering leadership, you’ll be at the heart of building capability for system reliability & scale, while also staying hands-on with the implementation of designs from system architecture.


If you have a deep understanding of infrastructure and modern cloud architectures, coupled with a passion for taking ownership & accountability of project delivery, this is an ideal opportunity to make a lasting impact.


Core Responsibilities

  • Designing, building, and maintaining scalable, reliable, and secure cloud infrastructure on AWS using technologies including EC2, ECS, Lambda, SQS, DynamoDB, RDS, Cognito, S3, and SNS.
  • Developing and deploying cloud-native applications following microservice design patterns.
  • Implementing infrastructure as code using tools like Terraform or CloudFormation to automate deployment and scaling processes.
  • Automating deployment pipelines and CI/CD processes to ensure rapid and reliable delivery of software.
  • Monitoring system performance, troubleshooting issues, and optimizing infrastructure for performance and cost-efficiency.
  • Collaborating with the development team to ensure seamless integration and deployment of applications.
  • Ensuring best practices in security, compliance, and data protection are followed across all infrastructure components.
  • Mentoring and providing guidance to junior engineers, promoting a culture of continuous learning and improvement.


Qualifications

  • AWS- You should bring a strong understanding of AWS with practical experience in deploying, managing and optimising cloud-based applications, ensuring they remain reliable and scalable. More than just EC2 deployments you will be comfortable using ECS, Lambda, SQS, S3, etc.
  • Go / C# -We use Go for all of our core services that require scaling e.g. API’s / load balancers. We use C# for business logic. You will bring expertise in developing software using either Go or C#, preferably in a professional environment but personal projects which you can discuss in detail could also suffice.
  • Linux / Bash Scripting- You will be comfortable navigating around in a Linux ecosystem, setting up firewalls, Infrastrucure-as-Code (IaC), installs & bash scripting
  • Terraform- You will have a strong track record of successfully using Terraform in a professional CI/CD environment
  • Microservices architecture design skills- You will bring experience in understanding how to architect cloud-based systems using microservices, ensuring each component is scalable, secure, and reliable. You will demonstrate the ability to identify a problem and describe / draw a high level solution to present to architecture for build.


**Please note, we cannot offer sponsorship to applicants (or transfer existing visas) at present**


Additional Information

  • Equityinthebusinessintheformofshares– You will own a meaningful part of the business through our employee shares & equity programme
  • UnlimitedPaidTime Offfor you to take time to recharge. ️
  • Aprofessional development fund of £1,000 per year– we invest in our people and always encourage growth!
  • PrivatehealthandLifeinsurance❤️‍
  • High-spec MacBook + £200 for equipment setup
  • Regularteamlunchesandsocialevents, from go-karting to mini golf to karaoke to rounders in the park
  • Xday– one whole company day off every February so we can all switch off Slack and reset
  • Flexibleworking+ flexible hours (2 days per week in our WeWork in Moorgate)


Our Values

  • Take ownership– We keep our organisation simple, valuing people over policies. We encourage ownership and decision-making.
  • Better together– We care about each other and go out of our way to help colleagues succeed. We value relationships and take a genuine interest.
  • Transparent– Our business is creating transparency in business relationships; so internally we are ‘default share’, even when it feels uncomfortable.
  • Glass-half-full– This is about being real but still choosing to be optimistic. We celebrate wins and encourage each other to build forward.
  • Be pioneers– We are leaders not followers – bold, ambitious and can-do. We don’t start with what’s possible, we start with what we want to achieve, then ask ‘what has to be true’?
  • Move fast– This is our moment to make our mark on the world. So we work to ambitious deadlines, launch fast and iterate, always streamline, and remain decisive amid huge uncertainty.
  • Value learning– We are all learning, always. We take time to explain, even if it’s quicker to do it ourselves.
  • Always decent– We are polite, thankful and straightforward. Everyone is down-to-earth, informal and approachable.
  • A players– Working here should be stretching and exhilarating. We only hire, and keep, the best, enquiring people that will keep us on our toes.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.