Senior Full-Stack Software Engineer

About Sibylline

Sibylline is a leading intelligence and strategic risk consultancy in the security sector. Since 2010 we have supported businesses, governments and NGOs by providing high-quality risk analysis, due diligence and consultancy services.

The firm provides an innovative, entrepreneurial and fast-growing working environment, offering employees ever greater exposure to high-profile clients and challenges. Sibylline offers fantastic opportunities for career progression within a successful company, and we aim to help our employees build their own personal profiles as well-regarded analysts within the broader industry.

Key attributes of Sibylline employees are:

• Self-motivated, and auto-improving individuals who can couple initiative and boldness with good judgement
• Excellent written and spoken English
• Clarity of thought and analytical flair
• Strong, demonstrable interest in security and intelligence
• The ability to work under pressure, demonstrate leadership when required but also be able to collaborate effectively in teams
• Excellent attention to detail​

Position Summary 

We’re building Sibylline’s core data and intelligence platform to ingest, process, and visualise data to support real-world corporate security and risk decision-making. We’re now looking for a Senior Full-Stack Software Engineer to help shape the next phase of the platform, with a particular focus on data ingestion, visualisation, and applied AI. 

This is a hands-on senior role working across the stack: pulling data in through pipelines and APIs, building robust backend services, and turning complex information into intuitive, high-impact user interfaces. You’ll also have the opportunity to work with modern LLMs and AI-driven features as part of the platform’s evolution. 

This is a remote role with standard hours of 9 am - 5 pm, Monday to Friday. You must be based in the UK, requiring occasional travel to London. The London office is available to work in if desired. 

Essential Functions/Responsibilities 

• Designing, building, and maintaining data ingestion pipelines from internal and third-party sources 
• Developing and maintaining backend services and APIs that power the platform 
• Building front-end features and data visualisations used by analysts and intelligence teams 
• Working with LLMs and AI-enabled workflows (e.g. enrichment, summarisation, search, discovery) 
• Working extensively with Microsoft Azure (compute, data, security, CI/CD) 
• Collaborating closely with analysts, product managers, and engineers to translate intelligence needs into reliable software 
• Owning solutions end-to-end, from design through to production support 

Knowledge, Skills, and Abilities 

• Strong experience as a senior full-stack developer in production environments 
• Experience building and integrating with APIs and data pipelines 
• Hands-on cloud experience, ideally Azure 
• Interest in AI/LLMs and applied machine learning in real products 
• A genuine curiosity about corporate intelligence, geopolitics, security, or risk 
• Comfortable working in a trusted environment and eligible for background screening 

Qualifications 

• A computer science background (or equivalent real-world experience) 
• Experience with React, TypeScript, and modern visualisation libraries 
• Backend engineering experience (e.g. Python, Node.js, .NET) 
• Experience working with LLM APIs 
• Experience working with data-intensive cloud applications. 

Interview Process   

• Initial call with our Talent Acquisition team member  
• 30-minute video call with the hiring manager  
• Home task  
• Panel interview with some of the team members and hiring managers at Sibylline  

Research indicates that certain groups are less likely to apply for a position unless they meet every single requirement. If you feel you meet some of the requirements and can offer a unique perspective to this role, we strongly encourage you to apply—you might be the perfect fit we're looking for! 

Sibylline is committed to the recruitment and selection of candidates without regard for sexual orientation, gender, ethnicity, age, political beliefs, culture, and lifestyle. We are committed to fostering a business culture that reflects these values and promotes equal opportunity.