Web technologies

Janes equips defence, government, and industry leaders with objective, accurate, and shareable data and analysis. Our experts combine advanced technology with proven tradecraft to deliver validated and contextual intelligence to assess threats, accelerate decisions, and anticipate change with confidence. We deliver our intelligence with the flexibility to fuse it with multiple sources in any system, enrich AI solutions, or access it through our portal.    Job purpose:  The Solutions Engineer is a critical member of the Product team, responsible for enabling the integration and optimization of Janes interconnected intelligence capabilities across the customer base. Working within the Product Solutions team, you will support the deployment, configuration, and enhancement of Janes data across a variety of systems, platforms, and mission-critical capabilities. This role focuses on enabling Janes data within individual systems, facilitating interoperability with third-party and customer datasets, and aligning with Customer’s AI, intelligence and data requirements. You will help define and document data standards, technical specifications, and integration pathways to improve customer outcomes and drive innovation. You will contribute to high-impact customer and partner projects across Europe and NATO, helping shape the future of Janes technical estate - including our graph knowledgebase, intelligence products, and supporting infrastructure. Your work will have a direct impact on national security and defence capability.   How you will contribute at Janes:  * System Integration: Support the integration of Janes data and models into customer systems of record, ensuring seamless functionality and operational relevance. * Product Delivery: Assist in the development and delivery of Janes Interconnected Intelligence products, capturing and aligning where possible with standards and technical expectations. * Customer Advisory: Provide remote and on-site technical advisory services to customers, offering guidance on data attributes, integration strategies, and system optimization. * Ontology & Model Development: Advise on the evolution of Janes data models and ontologies to ensure compatibility and seamless integration with customer ecosystems. * Gap Analysis: Identify and prioritize unmet data requirements critical to customer adoption and mission success. * Strategic Expansion: Explore adjacent content and data domains for potential expansion - either organically or via acquisition - to deepen Janes relevance and support for customer missions. * Market Intelligence: Monitor and report on partner and competitor activity within customer to identify opportunities for collaboration, expansion, or risk mitigation. * Presales & Bids: Support technical presales engagements, bid responses, and proposal submissions with subject matter expertise and solution design input.   The ideal skills and experience for this role are:  * Technical Proficiency:  * * Proficient in Python, including SDKs, APIs, and data engineering best practices. * Solid understanding of the Software Development Lifecycle (SDLC). * Familiarity with at least one of the following technologies: ArcGIS, Palantir, RDBMS, Graph Databases.  * Understanding of data models and/or ontologies * Experience in data integration, system interoperability or technical advisory roles—preferably within defence and intelligence sectors.  * Communication:  * Excellent presentation and communication skills, with the ability to engage technical and non-technical stakeholders.  * Mindset & Approach:  * * Passion for solving complex technical challenges. * Innovative, dynamic, and creative approach to problem-solving. * Willingness to learn, grow, and adapt in a fast-paced environment.  * Clearance: * Eligibility to hold security clearance, including willingness to undergo the clearance process with company sponsorship if not already cleared. Desirable Skills & Experience: * Front-End & Web Technologies:  * * Experience with JavaScript libraries (e.g., React) or frameworks (e.g., Vue). * Familiarity with geospatial JavaScript libraries such as ArcGIS Maps SDK, OpenLayers, Leaflet, Cesium etc.  * Back-End & Infrastructure:  * * Experience with Docker, Elasticsearch Palantir graph databases (e.g., Neo4j, ArangoDB, GraphDB). * Hands-on experience with cloud platforms and services, particularly AWS (EC2, Lambda, S3, etc.). * Background in backend or frontend architecture and development.  * Geospatial & Intelligence Tools:  * * Relevant experience using Esri technology and the full ArcGIS Enterprise suite, including ArcGIS Knowledge.  * Security & Clearance:  * * Experience working with national security and defence organizations. * Knowledge of the Intelligence cycle and ability to understand operational requirements and priorities. * Active security clearance is a strong advantage.  Benefits: * 27 days of annual leave   * Healthy half (0.5 day leave every 6 months for wellbeing)   * Leave- study/ volunteer/ reserve forces * Pension plan (6% employer contribution)  * Private medical insurance – BUPA * Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay)   * Paternity (100% of basic salary for 6 weeks)  * Life cover   * Access to LinkedIn Learning * Access to an on-site gym   ----------------------------------------------------------------------------------------------------------------------------------   LIFE AT JANES We believe Janes is truly a great place to work. Our values and leadership code drive everything we do, and we understand that the right behaviours and culture will always result in the best outcomes for our customers, our colleagues, our shareholders, and our business. We provide a supportive, stretching, and dynamic environment with the ability for you to grow rapidly, both personally and professionally. Janes is an inclusive and equal opportunities employer and encourages applications regardless of age, race, disability, religion / belief, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy/maternity, or gender. Although this role is advertised as full time, Janes believed that flexibility at work can provide many significant benefits both to our colleagues and the business. We already work in a hybrid style across all offices and regions and can support different ways of working and offer different flexible working arrangements. So, if you are interested and have any requirements or needs in the way you would like to work, please apply, and speak to us about this.  We will always consider part time or flexible applications Job Applicants - Privacy Policy Know your rights document

WHO WE ARE Sapien is rethinking how finance teams operate in the age of AI. We’re building toward an autonomous CFO—systems that run company financials end-to-end. Our platform analyzes complex financial data in real time to increase decision cadence, prevent costly mistakes, and surface value. Sapien has caught multi-million-dollar errors, saved thousands of jobs, and returned significant dollars to customers’ bottom lines. We partner with traditional businesses—manufacturing, healthcare, restaurants, and large enterprises—to deeply understand and automate their financial workflows. We’re HQ’d by Madison Square Park in NYC and backed by General Catalyst, Neo, and top operators from Google, OpenAI, Microsoft, Ramp, and Stripe (over $9M raised). THE ROLE You'll build features end-to-end for Sapien's core platform. This means taking a feature from design through frontend implementation, backend APIs, database changes, and agent integration. You own the full experience and make it work. This is role where you'll balance shipping new capabilities with keeping the platform stable and performant. You'll work directly with customers, see how they use what you build, and iterate based on real feedback. WHAT YOU'LL DO * Build features that make Sapien a daily driver for finance teams. Design experiences that pull users in every day because the platform is proactively surfacing insights, catching issues before they become problems, and making their work faster and smarter. * Design interfaces that make complex agent operations understandable and controllable for finance teams who aren't technical. * Implement human-in-the-loop systems where users can give feedback, correct agent mistakes, and teach the system about their specific business processes. Build the feedback loops that make agents smarter over time. * Make product and technical decisions: what should this feature do, how should the UI work, what's the right database schema, which technologies should we use. You're not just implementing specs, you're figuring out what to build. WHAT WE'RE LOOKING FOR * Comfort with modern web technologies: React, TypeScript, Python, SQL, and common backend frameworks. You don't need to be an expert in everything, but you should be able to work across the stack. * Product mindset. You think about user experience, not just implementation. You've iterated on features based on how people actually use them. * Ability to work with ambiguity. You can take a rough problem statement, talk to the right people, and figure out what actually needs to be built. * CS degree or equivalent experience. We care most about what you've built. HOW YOU WORK (VALUES WE CARE ABOUT) * Adaptability: You move fluidly between design, frontend, backend, and customer conversations. You're comfortable in unfamiliar territory and can shift contexts quickly. * Ownership: You see features through. You don't stop at "it works on my machine." You deploy it, monitor it, fix issues that come up, and make sure it actually solves the problem * Opinionated: You have strong views on technical decisions and product tradeoffs. You push back when something doesn't make sense and help the team make better choices. * Mission-driven: You understand that every interface decision impacts whether finance teams trust and adopt AI. You care deeply about building products that transform how businesses run. * Collaborative excellence: You make the team better. You share knowledge, give thoughtful code reviews, and bring new ideas that improve how we all work.