Surface design jobs in United Kingdom

Flood Risk & Drainage Consultant Location: London Salary: £35,000 - £40,000 A growing environmental consultancy is looking for a Flood Risk & Drainage Consultant to join its team in London. The role would suit someone with experience in flood risk, drainage design and planning who is looking to develop their technical and project management skills. The role: Prepare Flood Risk Assessments and drainage strategies for residential and commercial developments. Undertake surface water and flood risk assessments in line with current planning requirements. Design sustainable drainage systems (SuDS) and drainage networks. Carry out hydraulic modelling and interpret modelling results. Liaise with local authorities, Lead Local Flood Authorities, developers and other consultants. Provide technical input to planning applications and discharge of planning conditions. Support projects from initial feasibility through to detailed design and completion. Assist with technical reports, drawings, specifications and other project documentation.The ideal candidate: Experience within flood risk, drainage or civil engineering consultancy. Good understanding of drainage design, SuDS and UK planning requirements. Experience preparing FRAs and drainage strategies. Hydraulic modelling experience would be beneficial. Strong written and verbal communication skills. Relevant degree in Civil Engineering, Environmental Engineering or a related discipline.This is a good opportunity for someone looking to build their career within flood risk and drainage, with exposure to a varied range of development projects and the opportunity to take on more responsibility as they progress

Civil Design Engineer - Buildings / Development Infrastructure Location: London Salary: £35,000 - £45,000 (DOE) + Benefits Type: Full-Time | Permanent Civil Design Engineer - London Are you a Civil Design Engineer looking to work on design-led projects alongside leading architects, rather than purely standard infrastructure schemes? An award-winning, design-focused civil & structural engineering consultancy is looking to appoint a Civil Design Engineer into its central London office. With a team of around 170 employees across multiple UK offices, the business offers the stability and resources of an established consultancy, while maintaining a collaborative and close-knit studio environment at office level. The Opportunity You'll be joining a consultancy known for delivering innovative, elegant and practical engineering solutions, working closely with architects to bring complex designs to life. Projects are highly varied and include: Residential and mixed-use developments Cultural and heritage refurbishments Commercial and education buildings Public realm and urban regeneration schemes Architecturally complex, design-led projects With a strong presence across the UK and a growing London team, you'll benefit from exposure to a wide range of high-quality, design-focused schemes, while working in a well-connected and supportive office environment. The Role As a Civil Design Engineer, you'll contribute to the delivery of civil engineering elements across building-focused projects. Responsibilities will include: Supporting the design of drainage, levels and external works Contributing to SuDS strategies and surface water management Assisting with site development and access design Producing technical drawings using AutoCAD / Civil 3D Working closely with architects and multidisciplinary teams Supporting projects from concept through to detailed design and construction Contributing to design discussions and helping develop practical solutions What We're Looking For Experience in civil engineering design, ideally within development or building-related projects Background in drainage, external works or site development Experience using AutoCAD / Civil 3D Understanding of UK standards and approvals Strong communication skills and a collaborative mindset Interest in design-led engineering projects Why Apply? Work on architecturally-led, high-quality London projects Be part of a well-established consultancy (~170 staff) with a strong UK presence Collaborative, studio-style London office environment Varied portfolio including new build, refurbishment and heritage Clear progression within a respected and growing business If you are seeking a civil design role and want a strong option at a consultancy that can support your growth, apply directly or contact Michael from Aldwych Consulting on (phone number removed). Aldwych Consulting values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business

Senior Drainage Engineer - London £40,000 - £50,000 Are you an experienced Flood Risk and Drainage Engineer looking for a new opportunity in London? We are working with a well-established and growing consultancy that is looking to strengthen its flood risk and drainage team with the appointment of a Senior Engineer. This is a varied role where you will work across a range of development and infrastructure projects, providing flood risk and drainage advice from early feasibility through to detailed design. The role will involve: Preparing Flood Risk Assessments and drainage strategies Surface water and flood risk modelling Hydraulic modelling using software such as MicroDrainage, Flood Modeller or TUFLOW Designing surface water drainage and SuDS schemes Supporting planning applications and liaising with Lead Local Flood Authorities, Environment Agency and other stakeholders Producing technical reports and drawings Working closely with engineers and other disciplines across the wider business Supporting junior members of the team and helping to develop their technical skillsAbout you: Degree qualified in Civil Engineering, Water Engineering, Environmental Engineering or a related subject Strong experience within flood risk and drainage consultancy Experience delivering Flood Risk Assessments and drainage strategies Good understanding of UK flood risk, drainage and SuDS requirements Experience with relevant hydraulic modelling and drainage design software Confident communicating with clients, stakeholders and colleagues Ideally Chartered or working towards ChartershipThis is a great opportunity for a Senior Engineer who wants to work on a varied project portfolio, take on more responsibility and continue developing their career within a supportive technical team

Senior Geophysicist Project Delivery and Client Leadership | £45,000-£60,000 From investigating a mine shaft in someone's garden to helping deliver a £1m investigation across kilometres of peat bog - how much variety does your current role offer? We're recruiting for a specialist geophysical consultancy whose work spans infrastructure, engineering, environmental, utilities and asset management. Projects tackle practical questions about what lies beneath the surface, from bedrock profiles and buried utilities to unexploded ordnance. This opportunity offers an experienced near-surface geophysicist greater ownership of that work, combining technical judgement with project delivery, client relationships and the development of others. The opportunity You'll guide investigations from proposal and survey design through acquisition, interpretation and final reporting, helping clients understand the findings and make informed decisions. Aroun d 10% fieldwork is envisage d. You might help mobilise a technically challenging survey, establish the right approach and check data quality before the field team continues acquisition. Your focus then moves to interpretation, technical assurance and getting clear, defensible reports into clients' hands. You'll work alongside a geophysics team of around 25, providing technical guidance and mentoring while existing managers retain operational team management. What you'll be doing Leading complex projects, keeping scope, programme, budget and technical quality aligned. Designing investigations and selecting appropriate methods, recognising their limitations. Guiding processing and interpretation, resolving technical challenges and assuring data quality. Writing, reviewing and approving reports with clear conclusions and practical recommendations. Acting as a senior technical contact for clients, explaining findings, uncertainty and risk. Developing colleagues' confidence in interpretation, reporting and project ownership. What you'll bring You'll have a strong background in applied near-surface geophysics , with evidence of personally leading projects, producing high-quality technical reports and managing client conversations. Experience across several methods would be valuable, including GPR, electromagnetics, magnetometry, microgravity, resistivity/IP or seismic. Strong expertise in one method, supported by an understanding of complementary techniques, may also be considered. You'll be commercially aware, comfortable balancing technical quality with delivery deadlines, and keen to share your knowledge. Relevant processing, interpretation and GIS software experience is expected. The current specification also requires a postgraduate degree in geophysics or a related discipline. Package and working arrangements £45,000-£60,000 base salary. Site day payments and overtime where applicable. Varied projects, a broad equipment pool and direct influence over technical delivery. Approximately 10% fieldwork, with UK travel and selected international assignments. Primarily office-based when not on site; any hybrid flexibility would need to be agreed. Interested in broader project ownership, more client influence and less routine time away in the field? TPBN1_UKTJ

Senior ICM Modeller - Flood Risk Location: Flexible UK Locations Salary: £55,000 - £65,000 Are you a Senior ICM Modeller - Flood Risk looking for a new challenge? Join a leading consultancy and work on exciting projects across the UK. The Opportunity We are seeking a Senior ICM Modeller - Flood Risk to lead and deliver hydraulic and hydrological modelling projects. You will work on 1D and 2D models for rivers, surface water, and coastal waters, focusing on InfoWorks ICM software. This role offers the chance to work on major projects and frameworks for the Environment Agency and local authorities. Key Responsibilities • Deliver flood risk projects with integrated catchment modelling using InfoWorks ICM., • Lead technical work and mentor junior team members., • Build strong client relationships and collaborate effectively., • Utilize GIS skills in ArcGIS, MapInfo, or QGIS., • Use software like TUFLOW, Flood Modeller, and HEC-RAS., • Conduct FEH hydrological assessments and apply UK hydrology knowledge. Candidate Requirements • Proven experience in 1D-2D modelling using InfoWorks ICM., • Strong project delivery and client management skills., • Chartered status or willingness to achieve it with support., • Experience in civil engineering design is desirable. Why Apply? This role offers a competitive salary of £55,000 - £65,000 and the opportunity to work on diverse projects. You will have access to professional development and flexible working arrangements to balance your career and personal life. Company Culture Join a leading multidisciplinary consultancy committed to creating an inclusive environment. We value diversity and offer flexible working arrangements and employee resource groups to support all employees. Eligibility to Apply Applicants must already have the right to work in the UK. Althogh for exceptional ICM Flood Modeller specialist, sponsorship may be considered If you are a Senior ICM Modeller - Flood Risk looking to take the next step in your career, we would be pleased to hear from you. If this role feels close but not quite perfect, please do not be put off from applying. I specialise in Civil Engineering, Water and Flood Risk recruitment and may also be able to help with other suitable roles that are not currently advertised. Penguin Recruitment is operating as a Recruitment Agency for this position. For more information, contact Andy Hopkins, our Civil Engineering specialist with over 30 years' recruitment experience.

Preply Inc. is seeking a Global Senior CRM & Lifecycle Designer to shape lifecycle experiences across email, push, in-app and landing pages. You’ll connect CRM to the broader product journey, turning data-driven insights into engaging moments for learners at scale. Based in London/Barcelona with a hybrid setup, you’ll collaborate with Product, Engineering, Marketing, Copy and Content to design CRM as a core product surface and drive measurable impact across channels. #J-18808-Ljbffr

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process. Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit. Most engineers hate job searching. This company is fixing it. They're building an AI recruiter that cuts through the noise, connecting top software engineers with companies that truly fit. Backed by leading investors, they're scaling fast, solving a problem that impacts millions. This isn't a ticket-taker role. You'll own entire product slices, end-to-end, from spec to production. Think rich candidate databases, AI-powered matching dashboards, and workflows that transform recruiting operations. It's backend-heavy, full-stack, with LLMs in the critical path - not a side project. You ship, you own it, and it stays shipped. • Design and build core features for an AI-powered recruiting platform, from rich candidate search and filtering to operational dashboards., • Integrate large language models directly into critical product paths, ensuring reliability and performance for AI-driven features., • Develop robust backend services using Python, FastAPI, and Postgres, handling async patterns and ensuring production-grade stability., • Ship pragmatic frontend components in React and TypeScript, unblocking yourself to deliver complete user experiences., • Define and enforce API contracts, ensuring data integrity, idempotence, and clear error handling across the system., • Proven track record owning and shipping end-to-end product features that scaled and stuck, with minimal supervision., • Deep Python backend expertise: FastAPI or similar, async patterns, Postgres, Redis, with a default for production reliability., • Experience building products where LLM integration is in the critical path, not an add-on, understanding production reliability challenges., • Strong API discipline: you consider data integrity, error paths, idempotence, and versioning before shipping., • Comfortable shipping workable frontend in React and TypeScript; you can build UI and review PRs to unblock delivery. This is a rare seat at a company solving a hard problem. Confidential Company helps you cut through the noise: apply once, get matched to this role and others like it, and skip the cold outreach. We'll brief you properly, so you know exactly what you're walking into. #J-18808-Ljbffr

Experteer Overview As the Senior Workplace Leader for EMEA & MENA, you own on-site operations, capital projects, and vendor performance across Scale's regional offices. You partner with country leads, Finance, Legal, People, and Physical Security to ensure safe, compliant, and engaging workplaces that scale with growth. You drive end-to-end build-outs, lease management, and budget planning, and act as the regional escalation point for issues. This role shapes regional space strategy and enforces Scale's workplace standards in diverse markets. Pay / Benefits • Run on-site operations across the region, owning facilities, life safety, and workplace experience. Manage the regional vendor base; select, onboard, and hold local FM, security, food & beverage, and AV vendors accountable. Deliver spaces through capital projects end-to-end including design, contractors, budget, schedule, and handover. Track leases, renewals, landlord obligations, and service contract expiries; surface critical dates early for action. Serve as the regional escalation point and partner with country leads and local stakeholders to resolve issues. Collaborate with country and functional leadership on compliance and security requirements in each market. Own regional budget and planning; forecast space needs against headcount and align with global workplace standards. Bring Scale's global workplace standards into new markets and ensure cross-functional alignment. Tasks 6+ years in workplace operations, corporate real estate, or facilities management with multi-site ownership. Hands-on project delivery experience in the UK and ideally the Middle East; understanding Gulf vs Europe landlord, fit-out, permitting, and vendor dynamics. Real vendor and commercial management depth, including scoping/negotiating services contracts and enforcing SLAs. Ability to operate without a playbook, making senior-most recommendations on space, spend, and sequencing. Prior experience at a high-growth technology company scaling internationally. Additional regional language capability and/or hands-on GCC experience. Key requirements #J-18808-Ljbffr

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI. As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on the C3 AI Platform, working directly with customers to design, develop, and deploy production applications, demos, and proofs-of-technology. An ideal candidate possesses strategic and analytical aptitude, software development expertise, and excellent interpersonal skills. You will work with some of the largest and most demanding organisations on the planet to build the next generation of AI-powered enterprise applications. You will work directly with data scientists, software engineers, and subject matter experts to define new analytics capabilities that give our customers the information they need to make decisions under pressure and accelerate their digital transformation. This is a frontline role on some of the most consequential AI programmes in UK and European defence today. You will help design and deploy AI that keeps aircraft and platforms mission-ready through predictive maintenance, that sharpens decision-making through Digital Targeting, and that sustains operations through logistics in contested and degraded environments. These are live programmes with real operational stakes, delivered into demanding, secure settings across the UK MOD, NATO, and allied European partners. • Develop and deploy applications. Engineer full-stack, AI-based enterprise applications on the C3 AI Platform., • Mentor junior team members. Share coding standards and design techniques with less experienced engineers., • Conduct design and code reviews. Review customer software applications for quality, architecture, and best practices., • Test and enhance customer applications. Troubleshoot, test, and improve customer software applications directly and on behalf of customers., • Deliver technical enablement. Lead technical deep-dives, product demonstrations, and customer training sessions., • Write documentation. Produce application specifications, technical documentation, and supporting artifacts., • Identify and mitigate risk. Continuously surface technical risks and gaps; devise mitigation strategies in anticipation of customer needs., • Drive product improvement. Work closely with product management and engineering to improve the overall quality of C3 AI software., • MSc or Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study., • 5+ years of professional software development experience with object-oriented programming languages., • Strong verbal and written communication skills; ability to work effectively on a cross-functional team., • Analytical, problem-solving abilities, organizational skills and attention to detail., • Ability to travel as needed., • PhD in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study., • Experience deploying enterprise-scale applications., • Proficient Software development expertise with JavaScript and Python., • Proficient with Git or other version control software., • Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status. #J-18808-Ljbffr

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process. Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit. This is a top-tier early-stage venture firm, with a 15-year track record of identifying and backing companies that went on to define their industries. Their investment and talent teams operate globally, but manual coordination across their diverse toolset has become a bottleneck. This role exists to solve that. You are the firm's first dedicated engineering hire, building an internal AI platform end-to-end. This is a founding, high-ownership seat: you'll own the architecture and product direction, working directly with partners to build the ML layer that gives them a competitive edge. This isn't a narrow feature-build; it's about shaping how a leading firm identifies the next generation of founders. • Integrate disparate internal tools and external APIs (CRM, calendar, data platforms, LLMs) into a unified AI platform., • Automate data ingestion and CRM updates from unstructured text (deal memos, meeting notes)., • Develop meeting intelligence workflows, extracting actions and relationship context from transcripts., • Define the platform's architecture and product roadmap, from concept to production., • Build and deploy predictive ML models for founder identification, market timing, and portfolio risk, leveraging proprietary data., • 5+ years in software engineering, with strong Python across backend, automation, and AI workflows. You're comfortable across the full stack., • Proven experience integrating APIs (CRMs, calendars, data platforms) and hands-on work with LLMs, agents, or AI-enabled workflows., • You've taken products from zero to production with significant autonomy, ideally in an early-stage setting., • Strong backend system design and data architecture skills, including data scraping and structuring., • A strong understanding of security and compliance for internal systems handling sensitive data. As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns. #J-18808-Ljbffr

Augur transforms legacy sensor systems into real-time operational intelligence. We help organisations act before threats escalates – not after damage is done. Everything we build is privacy-first by design. Our platform connects to existing cameras and sensors to detect threats, retrace events, and surface real-time insights – all without replacing a single device. Augur helps teams reduce risk, cut costs, and grow revenue through better visibility, faster decisions, and fewer blind spots. Our culture is built on a foundation of radical candor and mutual trust. We recognise that being an industry leader requires more than just building exceptional products – it requires empowering a team of exceptional people. Individually, we operate with high autonomy; collectively, we’re unified by a shared drive to achieve our mission through a commitment to excellence. The Deployments team is responsible for ensuring Augur delivers exceptional value to our customers. We push the frontier of what is possible for our customers by building novel capabilities, where the end-state isn’t always obvious. We’re discovering, building and implementing new solutions using our technology every day. The Deployments team ensures excellent technical delivery, drives product improvement, and aligns internal teams to maximise our real-world impact. We have diverse backgrounds and skillsets, and we’re comfortable operating in uncertainty. We convert ambiguity and complex problems into clear solutions. We’re unwavering in our commitment to ensuring Augur provides excellent service to every customer. We’re looking for experienced software engineers who have a track record of delivering real-world value. As a Frontier Engineer, you excel at autonomously navigating ambiguous environments and converting complex customer problems into high-impact technical solutions. You are a skilled communicator, and convey complex technical concepts with ease for any audience. You’re also adept at stakeholder engagement, especially fostering relationships with customers and internal teams. Frontier Engineers play a critical role in the product feedback loop by surfacing customer insights to product teams, and building tailored customer solutions. This includes a broad range of tasks, such as writing data pipelines, creating custom backend services, building new UI components and installing and configuring hardware. We primarily build in Python, Rust and Typescript on Linux, but this is flexible, as we aim to choose the right tool for the job. While this is a hybrid role, we believe working onsite with customers is essential to understand their needs and ensure deployment success, so expect to spend up to 50% of your week onsite. • Strong coding and debugging skills., • Creative and resourceful problem solving skills., • Excellent prioritisation skills., • Ability to communicate technical concepts to unfamiliar and non-technical audiences., • Previous experience working directly with customers., • Proven ability to deliver outcomes in ambiguous technical environments., • Project Management and/or Team Leadership skills., • Machine Learning and/or Data Science skills., • Experience building and deploying web frontends, ideally in Typescript + React., • Experience building and deploying backend services., • Familiarity with different software deployment platforms and technologies (such as cloud, bare metal, embedded, containerisation, virtualisation, networking, GPU). At Augur, our culture is built on radical candor and mutual trust. To solve the complex, physical-world problems our customers face, we need a team that thinks differently. Whether you’re self-taught, have a non-traditional background, or are returning to the workforce, if you have the grit and the experience we’re looking for at Augur, we’d love to hear from you. We are committed to fostering a diverse workplace and ensuring an accessible hiring experience - please let us know if you require any accommodations during the interview process to help you do your best work. #J-18808-Ljbffr

Forward Deployed Engineers at Dynamo AI work directly with enterprise customers to deploy Dynamo’s flagship products (DynamoEval, DynamoGuard, AgentWarden) into real-world client environments. Sitting at the intersection of engineering, customer deployment, and AI reliability, this role involves integrating AI guardrails, evaluation frameworks, and agentic observability capabilities into complex enterprise ecosystems — particularly within regulated industries such as financial services, healthcare, and government. Success in this role requires strong technical depth, curiosity, patience, and the ability to navigate complex operational and governance requirements while helping customers accelerate the path from experimentation to reliable production deployment. We are looking for Senior Forward Deployed Engineers to work directly with enterprise customers to help deploy, integrate, and operationalize AI systems in real-world production environments. This role sits at the intersection of engineering, customer deployment, and AI reliability. You will work closely with customer engineering teams to integrate Dynamo AI’s platform into complex enterprise ecosystems while helping organizations navigate the operational, governance, and technical challenges of deploying AI at scale. Forward Deployed Engineers act as the technical bridge between customers and Dynamo AI’s product and engineering teams. You will help customers implement AI guardrails, evaluation systems, observability workflows, and deployment architectures that meet enterprise requirements around reliability, security, compliance, and performance. This role requires strong technical depth, curiosity, patience, and a willingness to work through complex enterprise environments. Many of our customers operate highly regulated systems with deeply embedded legacy infrastructure, approval workflows, and operational constraints. Success in this role comes from being able to understand these environments deeply, collaborate through ambiguity, and help customers incrementally operationalize AI safely and effectively. You will regularly encounter unfamiliar enterprise systems, architectures, and governance processes — particularly within financial services, healthcare, government, and other regulated sectors. We value engineers who are excited to learn how these environments work and can thoughtfully adapt AI systems to fit real-world operational needs. • Debug and troubleshoot complex deployment and integration challenges across customer environments, • Navigate ambiguity and adapt solutions to fit real-world operational and regulatory requirements, • Learn and work across a wide range of enterprise systems commonly used in regulated industries, • Balance technical excellence with pragmatism, reliability, security, and customer operational realities, • Work directly with customer engineering and platform teams to deploy Dynamo AI’s products into enterprise environments, • Design and implement integrations across enterprise AI workflows, APIs, infrastructure, and governance systems, • Help customers operationalize AI guardrails, evaluations, observability, and monitoring capabilities in production, • Support deployment architectures across cloud, hybrid, and enterprise environments, • Translate customer deployment challenges into actionable feedback for product and engineering teams, • Surface patterns and deployment learnings that improve Dynamo AI’s platform and implementation playbooks, • Work cross-functionally with research, engineering, product, and go-to-market teams to improve customer outcomes, • Contribute to scalable deployment methodologies and technical best practices, to enhance release and deployment pipelines., • Assist in building releases, executing deployments, and resolving SaaS platform issues when needed., • Work closely with customer stakeholders across engineering, infrastructure, security, risk, compliance, and operations teams, • Understand customer technical environments, operational requirements, and deployment constraints, • Help customers navigate enterprise AI governance, evaluation, and approval workflows required for production deployment, • Partner with internal customer success managers and forward deployed strategists to streamline deployment and operational processes that accelerate enterprise AI governance at scale, • Enjoy working directly with customers and solving practical engineering problems, • Are a team player and enjoy working closely with our forward deployed strategists to solve real-world enterprise challenges, • Are curious about how complex enterprises and regulated industries operate, • Have strong motivation to work through operational, governance, and technical constraints in large organizations, • Are excited about deploying frontier AI systems (e.g. DynamoGuard) into real-world production environments to make significant impact, • Enjoy learning new technologies, systems, and infrastructure domains rapidly, • Can communicate effectively with engineers and some non-technical stakeholders, • Strong software engineering experience, especially in distributed systems, Kubernetes, APIs, platform engineering, and enterprise integrations, • Experience debugging and operating production systems in customer-facing environments, • Ability to navigate complex technical and organizational environments independently, • Strong communication and problem-solving skills, • Familiarity with Generative AI systems, LLM applications, AI infrastructure, or model deployment workflows, • Experience working in financial services, healthcare, government, or other regulated industries, • Familiarity with enterprise security, governance, compliance, or risk management workflows, • Experience with AI evaluation, guardrails, observability, or monitoring systems You will work directly with organizations deploying AI into critical real-world operations, helping ensure systems are reliable, secure, observable, scalable, and production-ready. This role is deeply focused on practical deployment and operationalization. You will help customers navigate the technical and organizational realities of enterprise AI adoption. You will gain exposure to a wide range of enterprise architectures, governance models, and operational workflows across regulated industries. Your work will directly influence how organizations safely deploy AI systems at scale, while shaping Dynamo AI’s deployment methodologies and product evolution. #J-18808-Ljbffr

Location: London, UK Mesa Quantum Systems is seeking a technical leader to build and advance our chip-scale quantum sensing platform. This is a technical leadership role with substantial responsibility for both engineering execution and team direction. You will help establish the technical foundation of Mesa Quantum UK and work closely with Mesa’s broader leadership as we expand our quantum sensing roadmap. We’re looking for someone to lead complex engineering programs from concept through prototype and product development. You’ll set technical direction, guide system design, track milestones, and work closely with a small team to turn ambitious goals into working systems. • Set technical direction and lead development of Mesa Quantum UK’s chip-scale vapor sensing platform., • Translate sensing goals into system architectures, engineering plans, and measurable milestones., • Lead system design and integration across relevant atomic, optical, electronic, thermal, magnetic, and mechanical subsystems., • Guide prototype development, testing, characterization, troubleshooting, and iteration., • Track technical progress, surface risks early, and keep development focused on practical outcomes., • Work hands-on where needed and lead the team through complex technical problems., • Coordinate closely with Mesa’s photonics, electronics, packaging, and manufacturing teams as systems advance toward robust, manufacturable products., • Establish appropriate test methods, calibration procedures, and technical documentation., • Help shape future sensing architectures and applications for the platform., • Build relationships with academic, government, and industry partners in the UK quantum ecosystem., • Contribute to recruiting, mentoring, and growing the technical team. We care more about what you have built and led than the title of your degree or the narrowness of your specialty. You may be a physicist, an engineer, or have another technical background relevant to the work. You should bring: • Deep technical understanding of quantum sensing or a closely related area., • At least 4 years of experience leading complex technical programs., • Experience developing complex experimental or precision systems; experience with neutral-atom platforms would be valuable., • Strong systems engineering skills and the ability to connect subsystem choices to overall performance., • Experience leading technical design, making sound trade-offs, and guiding work through integration and testing., • The ability to define and track milestones, manage technical risks, and turn plans into practical progress., • Experience with data acquisition and test scripting., • Experience with vapor-cell systems, atomic clocks or magnetometers, laser spectroscopy, optical systems, low-noise measurement, magnetic-field control, thermal systems, electronics, or experimental automation would be valuable., • Eligible to work in the UK., • A Ph.D. may be useful for this role, but it is not required. Equivalent depth gained through engineering practice, research, or work on comparable systems is welcome. #J-18808-Ljbffr

Augur transforms legacy sensor systems into real-time operational intelligence. We help organisations act before threats escalates - not after damage is done. Everything we build is privacy-first by design. Our platform connects to existing cameras and sensors to detect threats, retrace events, and surface real-time insights - all without replacing a single device. Augur helps teams reduce risk, cut costs, and grow revenue through better visibility, faster decisions, and fewer blind spots. Our culture is built on a foundation of radical candor and mutual trust. We recognise that being an industry leader requires more than just building exceptional products - it requires empowering a team of exceptional people. Individually, we operate with high autonomy; collectively, we're unified by a shared drive to achieve our mission through a commitment to excellence. We're looking for a Backend Engineer who pairs strong software skills with an ambitious, exploratory mindset. You're excited to join an early-stage company where you can have an outsized impact. The Augur Backend team is a small yet critical part of our a rapidly scaling company, so we each play a role in shaping Augur's product, value to customers and culture as we grow. We are looking for someone who can design and build the distributed systems, storage infrastructure, and platform primitives that underpin Augur's sensor integration product. You'll work across the full backend surface: from stream processing and storage, to API design, data pipelines, and service architecture, in a Rust stack with Python at the platform API boundaries. You’ll be responsible for building robust, well-abstracted systems that scale with the demands of a growing integration and customer base, with ambitions of petabyte-scale data storage. You’ll own meaningful architectural decisions and be expected to reason clearly through unfamiliar problem domains under real constraints. Core technologies: Rust, with Python at some API boundaries. Kafka, PostgreSQL/TimescaleDB/PostGIS, gRPC/protobuf, and Kubernetes. Candidates are not expected to have experience with all of these, but adjacent understanding is crucial. Systems thinking: Comfortable designing and operating production systems under real constraints- zero-downtime migrations, complex tradeoff analysis, and the kind of pragmatic decision-making that keeps services reliable as requirements shift. Software craft: Writes clean, well-structured code with good use of abstractions, namespaces, and interfaces. Opinionated about code review processes and culture. Reasoning under uncertainty: Can pick up unfamiliar systems and make sound architectural decisions without a complete picture. AI-assisted development: Fluent with LLM-assisted workflows and confident both steering AI tooling toward high-quality output and knowing which problems are better solved by humans. Collaboration: Experience or appetite for cross-team communication; comfortable seeking out context independently and building features with limited top-down instruction. Prior experience with large-scale data infrastructure, i.e. distributed storage, sharded databases, high-throughput pipelines. Bonus if you've built your own or have experience with the primitives for building your own, e.g. sharding libraries, consistent hashing, data-parallel dataflow computation, etc. At Augur, our culture is built on radical candor and mutual trust. To solve the complex, physical-world problems our customers face, we need a team that thinks differently. Whether you're self-taught, have a non-traditional background, or are returning to the workforce, if you have the grit and the experience we're looking for at Augur, we'd love to hear from you. We are committed to fostering a diverse workplace and ensuring an accessible hiring experience - please let us know if you require any accommodations during the interview process to help you do your best work. #J-18808-Ljbffr

At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed. By reimagining the way we interact with information, we’re merging human creativity with the breakthrough capabilities of AI. Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning. Join us on this journey as we transform digital note-taking into an inspiring and innovative experience. Dream big • Be visionary, strategic, and open to innovation Build great things • Work in service of our users, always improving and pushing higher Operate like an owner • Take responsibility with bold decision-making and bias for action Win like a sports team • Be trusting and collaborative while empowering others Learn and grow fast • Never stop learning and iterate fast Share our passion • Share ideas and practice enthusiasm and joy Be user obsessed Think of this as a startup within Goodnotes. You'd be embedded in one of our 0-1 product bets -working directly with Steven, our founder, and a small, fast-moving team building something genuinely new inside Goodnotes' AI-native product line. No legacy roadmap, no established playbook. You're helping write the first one. You'll be the analytical partner for that product: quantifying how features move the business, building the experimentation and instrumentation that lets the team measure impact from day one, and turning ambiguous, undefined problem spaces into clear questions and confident decisions. In a 0-1 environment, that clarity is the difference between shipping the right thing and guessing. You'll combine analytical precision with product intuition - designing experiments, uncovering the behavioural drivers behind conversion, activation, and retention, and connecting product metric movements straight back to revenue. Crucially, you won't just do the analysis. You'll build the frameworks, playbooks, and self-serve capability that let the product team answer their own questions — the kind that hold up when you're not in the room. Removing analytics as a bottleneck isn't a side goal here. It's part of the job. • This role is based full-time onsite at our London (Paddington) office, • This role is a fixed term contract of 1 year Defining success metrics & sizing opportunities: Partner with GTM, Product, and Engineering to set success metrics, size opportunities, and connect product metrics to revenue — ensuring every team knows what "good" looks like. Building the experimentation practice: Design and analyze experiments with statistical precision, standardize how experiments run across squads, and help the organization move from opinion-driven to evidence-driven decisions. Owning instrumentation & measurement quality: Work with Engineering on tracking plans and event taxonomy so features are measurable before they ship, not retrofitted after. Turning behavior into insight: Run deep-dive analyses on funnels, cohorts, activation, and retention, and translate findings into actionable recommendations that drive product and business outcomes. Enabling teams to self-serve: Teach PMs and product leaders to read experiment results and governed reporting with confidence. Build frameworks others can adapt and extend — reducing the analytics team as a bottleneck. Shaping the agenda: Proactively surface the questions the product organization should be asking before they're asked, and know when a finding is sufficiently reliable to drive action. Defining good enough: knowing when a finding is sufficiently reliable to drive action, avoiding the trap of pursuing endless granular accuracy. • Significant experience of product analytics in a PLG SaaS, marketplace, or transactional environment. You understand funnels, retention curves, user lifecycle, and how product metrics connect to revenue., • Deep experimentation experience. You’ve designed and analysed experiments, and you know the common failure modes (peeking, underpowered tests, bad randomisation, metric gaming) and how to design around them., • Strong instrumentation and data governance instincts. You’ve defined tracking plans, and worked with engineering teams on event taxonomy., • Experience working in AI-native product orgs. You’ve gone past chatting with Claude/ChatGPT to building proactive agentic workflows that scale insights discovery and delivery with minimal human intervention., • Strong SQL plus Python and/or R – you write queries and build analyses yourself, regularly., • A track record of building frameworks others adapt and extend. You make teams smarter, not just yourself heard., • Excellent communication, you adapt your altitude to the audience, • Comfort operating in ambiguity with autonomy., • Familiarity with dbt, semantic/BI layer, and governed self-serve stacks (Hex, LightDash, Looker, or similar), • Experience in productivity SaaS businesses, • Familiarity with dbt, semantic/BI layer, and governed self-serve stacks (Hex, LightDash, Looker, or similar), • Causal inference methods beyond A/B tests, • Experience implementing experimentation platforms (e.g. Statsig, Eppo or in-house), • Familiarity with product analytics tools (Amplitude, Mixpanel, Firebase, or similar), • Talent Intro Call: A conversation with our Talent Acquisition team to dive into your experience, what motivates you, and why you're interested in joining Goodnotes., • Hiring Manager Interview: A deeper dive into your professional background, your preferred ways of working, and the specific impact you'll have within the team., • AI Literacy: As an AI-first company, we'll meet with one of our AI champions to discuss your curiosity, understanding, and practical use of AI tools in your daily workflow., • Role-Specific Assessment: A live session focused on the core technical or functional skills required for the role. This is your chance to show us how you tackle real-world challenges., • Values Based Panel Interview: A conversation with 2–3 team members centered on our company values. We'll discuss past experiences to see how your approach aligns with our culture., • Customized Growth & Wellness Budgets: We provide dedicated stipends for the things that keep you at your best, including noise-canceling headphones for deep focus, professional training, personal development, and health and wellness activities., • Global Connectivity: While we embrace flexible work, we love seeing each other. We provide sponsored visits to our beautiful office locations to foster face-to-face collaboration., • Company-Wide Offsites: Once a year, we gather the entire global team in person to celebrate our wins, align on our vision, and build lasting connections., • Comprehensive Health Coverage: Your well-being is our priority. We offer premium medical insurance for you and your dependents to ensure peace of mind for your whole family. Goodnotes is committed to fostering a diverse, inclusive, and equitable workplace. We welcome applications from individuals of all backgrounds, identities, and experiences, making all employment decisions based strictly on merit, qualifications, and business needs. Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records. By submitting your application, you acknowledge that you have read and understood our Candidate Privacy Notice, which provides important information about the data we collect during the application process. You can find it here. #J-18808-Ljbffr

Augur Communications Ltd is seeking a Backend Engineer to design and build the distributed systems, storage infrastructure, and platform primitives that underpin Augur's sensor integration product. You will work across the full backend surface—from stream processing and storage to API design and data pipelines—using a Rust stack with Python at the boundaries. You will own meaningful architectural decisions, reason through unfamiliar problem domains, and scale systems to support petabyte-scale #J-18808-Ljbffr

We're Capital on Tap Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that. We're Capital on Tap Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that. Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier. 1,000+ employees, £20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We've done a pretty good job so far, but we're just getting started! Location: London | 3 days in office Our Product team sits at the heart of everything we build. We move fast, work closely with engineering, and obsess over outcomes for our customers. • Money movements and Banking products – our business banking proposition, • Credit Products & Collections – credit lines, limits, pricing and collections, • Customer Experience – the ongoing relationship customers have with us after activation, • Operational Excellence – the tools and processes that make our internal teams more effective, • Acquisition & Onboarding – how new and existing customers sign up and get activated, • Fraud & FinCrime – protecting customers and the business from fraud and financial crime, • Platform – the shared capabilities and infrastructure that other product areas build on, • Owning an area end-to-end: making most product calls yourself, without seeking sign-off. You consult on the high-stakes calls and decide-and-inform on the rest, • Acting as the peer voice on your area for leadership, not the delegate who brings back options, • Bringing subject matter mastery that goes deeper than anyone else in the company on that area — you already know the competitive discourse, the customer pulse, and which questions actually matter versus which are noise, • Spotting within minutes whether a new idea has been tried before, whether it fits, and what the real trade-off is, • Distilling complexity into well-framed discussion points that let stakeholders and engineers contribute meaningfully, rather than needing to be talked through everything, • Steering conversations toward the right outcome without needing to be right yourself, and giving others just enough context, just in time, so they stop chasing you for updates, • Carrying multiple workstreams without dropping any of them — production stays clean, timelines hold or shift with early warning, and surprises don't land on your manager's desk, • Absorbing noise so engineers can work in flow, and keeping scope honest, • Depending on the scope of your area, you may line-manage PMs or APMs, • 5+ years of experience in product management, with a proven track record of owning an area autonomously and having your decisions stick without review, • A gut that's earned trust because it's been right before, backed with data rather than hidden behind it, • Subject matter mastery: you can walk into a conversation about your domain and already know where it's going, • Strong facilitation and communication skills — you can take a complex problem and turn it into something others can act on, • A track record of carrying multiple concurrent workstreams to delivery without things slipping quietly, • Comfort working across both front-end user experience and back-end system architecture, • Either existing knowledge of financial services and compliance concepts (for example KYC, KYB, IDV), or direct journey optimisation experience, ideally both, • Experience partnering with Engineering and Design to communicate direction to stakeholders, up to leadership level, • Prior experience line-managing PMs or APMs is a plus, though not required for every area, • Ships fast to customers – Gets things live quickly rather than over-polishing before release. Comfortable with iterative, incremental delivery., • Deals with ambiguity, adapts when priorities or requirements shift – Doesn't need a fully-formed brief to start moving. Handles the plan changing mid-flight without getting stuck., • Commercial acumen – Understands the business, the strategy, and how their product area drives outcomes such as revenue, retention or cost, not just delivery for its own sake., • Hungry to learn, no ego – Wants to develop, asks questions, takes feedback well., • AI curious – Actively uses or explores AI tools in their day-to-day work, rather than treating it as someone else's job., • Strong exec-level communication – Confident presenting up, comfortable being challenged, backs decisions with evidence rather than opinion., • Self starter – Moves without waiting to be told or chased. Takes ownership of problems even outside a strict brief., • Depth – Can go beyond the surface on their own product area – understands the mechanics, edge cases and trade-offs, not just the headline feature., • Stage 1: A quick 30-minute virtual intro with our Talent team to get to know you., • Stage 2: Meet a Lead Product Manager or Director of Product for 60 minutes. We can host you in the office or meet virtually., • Stage 3: A 45-minute office interview with 2–3 members of the wider Product/Engineering team, plus a further 45-minute interview with the Director of Product., • Stage 4: A 30-minute chat with the CEO., • Just Pilot – We never settle for "good enough". We pilot new ideas fast, ask questions to figure it out, and scale quickly., • Why Not Today? – Fast is as slow as we go. Speed and simplicity give us a competitive advantage., • Be a Buddy – We tap in from day one to help the team, we do the right thing even if it's hard., • Owners and Dates – We don't chase people. If you own a task and agree to a date, the expectation is that it gets done., • Feedback – We want our employees to flourish, so we regularly provide direct and constructive feedback. We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work. We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits: • Private Healthcare including dental and opticians services through Vitality, • Worldwide travel insurance through Vitality, • Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical), • Salary Sacrifice Pension Scheme up to 7% match, • Octopus EV Salary Sacrifice Scheme, • 28 days holiday (plus bank holidays), • Annual Learning and Wellbeing Budget, • Enhanced Parental Leave, • Cycle to Work Scheme, • Season Ticket Loan, • 6 free therapy sessions per year, • Dog Friendly Offices, • Free drinks and snacks in our offices Check out more of our benefits, values and mission here. Check out our 'Top Tips' for interviewing. Keep updated on new job opportunities by following us on Linkedin. Email if you have any questions. #J-18808-Ljbffr

We're putting together a talented team to build the #1 training platform for Runners We help everyday runners become outstanding by building an incredible app providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon. We’re growing extremely fast! In November 2023 we closed a $6.5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone app of the year, reflecting the innovation and impact of what we’ve built & in 2025 we were acquired by Strava! Our ambition is huge: to become the go-to global leading training platform for millions of runners everywhere. We’re growing with purpose and looking for people who want to build something meaningful with lasting impact. With the recent acquisition by Strava accelerating our journey, now is a really magical time to join. We’re looking for an Engineering Manager to lead a high-performing team of engineers at Runna. You’ll be responsible for a medium-sized team of ICs (roughly 4–8+ engineers) and will independently guide that team to deliver meaningful business outcomes across a product or platform area. This is a people leadership role first, grounded in strong technical judgement. You’ll partner closely with Product, Design, and Engineering peers to align goals, navigate ambiguity, and ensure your team can deliver high-quality work at pace. You’ll be expected to independently manage all aspects of people leadership, while creating the conditions for engineers to grow, experiment, and do the best work of their careers. You’ll sit on the Train Team where you will work closely with our modelling teams to integrate features that are core to Runna’s mission (think adapting plans around holidays and B races, supporting new cutting edge plans, and building in-app experiences around our AI/ML tooling). Lead, support, and grow a medium-sized team of engineers, creating the clarity, context, and accountability needed for the team to do its best work. Own team delivery for a product or platform area, driving execution from planning through release and ensuring work is aligned to business goals. Partner closely with Product, Design, and other Engineering teams to align priorities, manage dependencies, and coordinate work that affects other teams. Independently lead through open-ended or ambiguous problems, identifying risks, proposing solutions, and driving resolutions without heavy guidance. Encourage experimentation and thoughtful risk-taking, creating space for exploratory work and creative solutions where it adds value. Hold engineers accountable for high-quality technical designs and implementations that result in performant, scalable, secure, and maintainable systems. Coach engineers and emerging leaders, providing feedback, mentorship, and support while deliberately delegating opportunities for others to step into leadership. Independently manage all aspects of people management, including goal setting, performance reviews, career development, promotions and more. Create a team environment built on psychological safety and inclusion, where people feel supported, challenged, and able to contribute fully. Communicate company context clearly and effectively, helping the team understand how their work connects to wider company strategy and goals. Participate in and drive organisation-level initiatives that improve how we build, plan, hire, and collaborate across engineering. Partner with Recruiting and interviewers to calibrate assessments, make strong hiring and levelling decisions, and build a diverse and talented team for the long term. Track delivery, unblock work, and improve team effectiveness through healthy processes, strong planning, and continuous improvement. 5+ years of professional experience in software engineering, including meaningful experience in technical leadership and/or engineering management. Experience leading and managing engineers in a fast-paced product environment, ideally owning a team through planning, delivery, and people development. Strong track record of delivering complex projects end-to-end, especially in cross-functional environments with evolving priorities or ambiguity. Ability to align stakeholders across engineering, product, and design, and to coordinate work effectively where multiple teams are involved. Strong technical judgement, with the ability to raise the bar on architecture, design, and implementation quality without needing to be the primary coder on every project. Excellent communication skills, with the ability to translate company context into clear team direction and surface risks early. Comfortable working in a highly skilled, fast-paced engineering team. In 2024, we shipped: 99 mobile app releases (iOS and Android) 443 API releases 237 modelling backend releases Technical fluency across modern product engineering environments. Experience with TypeScript/JavaScript, React Native, AWS cloud environments, and serverless architectures would be especially valuable. #J-18808-Ljbffr

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. As a DevOps Engineer on the Platform team, you’ll build and operate the infrastructure that every engineering team at Invisible depends on — Kubernetes, CI/CD, identity, secrets management, networking, and observability — along with the internal tooling that allows engineers and AI coding agents to ship safely and quickly. The Platform team is small relative to the surface area it covers, which means you’ll take ownership of production systems early and see the impact of your work across every client engagement. A single well-designed abstraction here removes friction for the entire engineering organisation. We are looking for engineers who don’t just apply best practices in IaC, Kubernetes, CI/CD and observability, but understand the problems those practices were designed to solve. Most were built around the pace and failure modes of human engineers. Those assumptions are changing, and we want people ready to help rewrite the rulebook for the agentic era. • Own platform services end to end — design, build, operate, and improve them, including on-call responsibility, • Deliver infrastructure as code using Terraform, Helm, and ArgoCD, with GitOps as the default operating model, • Build and maintain developer experience tooling: onboarding templates, CI/CD pipelines, local development environments, and self-service capabilities that remove manual gatekeeping, • Contribute to our agent infrastructure — sandboxed execution environments, credential brokering, guardrails, and the internal MCP servers and skills that make coding agents effective against our stack, • Improve observability and alerting so that system health is visible and actionable without manual investigation, • Participate in incident response and post-incident review, treating failures as systemic issues rather than individual ones, • Kubernetes & Cloud: Hands-on experience running production Kubernetes with real users and real consequences, on GCP, Azure, or AWS, • Infrastructure as Code: Working knowledge of Terraform, Helm, and GitOps delivery patterns such as ArgoCD or Flux, • Programming: Proficient in Python, able to step outside of it when called for., • AI Coding Agents: Demonstrable mastery of agentic coding tools. You understand how to scope work so an agent completes it successfully, how to build the context and tooling that makes that possible, and how to identify confidently incorrect output before it reaches production, • Engineering Judgement: You can articulate the reasoning behind the practices you follow — why immutable infrastructure, why trunk-based development, why SLOs — and where each begins to break down when changes are machine-generated, • Communication: Strong written communication across runbooks, design documents, and code review. Much of the role is written, • Comfort operating in ambiguity, with the initiative to identify what matters without being told, • We weight demonstrated capability over years of experience or formal qualifications. We're interested in what you've built and how you work Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. *Offers will also include bonus + equity You can find more information about our geographic pay tiers here . During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world‑class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front‑row seat to the AI revolution, you’ll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us. #J-18808-Ljbffr

You'll build the interfaces people use to run H's agents: the H Platform, where teams deploy an agent, follow it live and replay what it did step by step, and HoloTab, our Chrome extension that controls the browser on its user's behalf. H builds agents that use a computer the way a person does, in the browser and on the desktop. How people watch, steer and replay an agent while it acts on a computer, which has few established patterns yet. You'll decide how a live run appears and plays back, how live data gets to the screen, how a feature splits between front end and API, and which components become shared standards. We'll judge the work by what ships to users, by front-end quality held in CI, and by whether people can follow and control what an agent did. • Building the H Platform web app, • Building and improving the HoloTab extension, • Designing the live run view and replay, • Changing the Python APIs behind a feature, • Setting shared component patterns, • Making long-running workflows easier for FDEs and customers to deploy and watch Within three months, a feature you built, API change included, is with users. Within six, one surface is yours, such as live runs and replay or the HoloTab interface, and the team comes to you about it. Within a year, you're working across several of our products, agreeing what to build with their owners and then building it. The role sits in Product Engineering, with our VP of Engineering as hiring manager. You'll work closely with the owners of the H Platform and HoloTab. Your users are our Forward Deployed Engineers (FDEs), our technical customers and the people who use HoloTab every day. You're likely a good fit if you: • Have shipped a production product in React and TypeScript as a senior engineer, • Make the API change a feature needs as well as the UI, • Write correct, concurrent code, • Handle live, async data in the UI correctly, • Enjoy working out what users actually need and designing the interface around it, • Have worked with Python Stronger still if you have worked with: • Chrome extensions or the Chrome DevTools Protocol, • Real-time interfaces using streaming, SSE or WebSockets, • Design systems or component libraries, • FastAPI or a similar Python API framework, • Preact and Vite You do not need a background in Python backend development. If you match most of this but not every point, apply anyway. Four stages: a 30-minute call with our Talent team, a 60-minute coding interview, a take-home front-end exercise of about 2 hours with a 45-minute review, and a closing 30-minute conversation. The take-home is built around the kind of interface you'll be working on. The role is hybrid, with three days a week in our Paris or London office and a visit to the other office every four to six weeks or so. We offer a competitive package. #J-18808-Ljbffr

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process. Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit. Imagine an agent that doesn't just compare household services, but actively manages and switches them on behalf of millions. This company is building exactly that: a system designed to fix the problem of overpaying for essentials like energy, mobile, and insurance, without requiring any user effort. They've developed a unique set of capabilities, including agentic communication, multimodal data extraction, and long-running workflow orchestration, all underpinned by a 'Blueprints' system for rapid service line expansion. With significant traction and rapid growth, they are backed by leading investors and committed to social impact as a B Corp. As a Staff Product Engineer, you'll have end-to-end ownership and high agency across the most impactful parts of the codebase. This isn't a role where you just build features from a perfect spec; you'll operate in two distinct modes. Sometimes you'll build direct product - new service lines or core improvements - moving fast from a rough plan. Other times, you'll build the multiplier: the guardrails and internal tooling that empower non-engineers to ship safely. Both are hard engineering problems, and both directly feed into the company's mission. • Build and launch new agentic service lines, from initial concept to live deployment., • Design and implement core product improvements, often working with one or two other engineers., • Develop internal tooling and 'guardrails' that enable non-engineers to ship product changes independently., • Tackle complex challenges in long-running workflow orchestration, retries, and integrations with external systems., • Iterate rapidly on product experiments, using data to prove impact and inform future direction., • At least 2 years of professional engineering experience, with a clear desire for breadth over deep specialization., • Proven ability to own problems end-to-end, from fuzzy requirements to shipped solutions and impact measurement., • Strong full-stack proficiency in TypeScript and React, comfortable with distributed systems challenges like partial failure and external integrations., • A product-first mindset: you care deeply about user flow, UX, and the impact of small details like copy., • A track record of building leverage for others, whether through pairing, clear explanations, or impactful internal tools. This isn't a typical product engineering role; opportunities to build at this level of impact and ownership are rare and often oversubscribed. Applying through Dex means you skip the cold application process and get a proper briefing on the role and company before you even interview. We help you cut through the noise to find roles that genuinely beat your current job, ensuring you're matched to opportunities that align with your unique skills and career goals. As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns. #J-18808-Ljbffr

• South West London – 2/3 days onsite per week, • UK SC clearance required / ability to gain SC, • Compressed fortnight – every other Friday off ABOUT THE CLIENT Our client is a leading UK Defence organisation developing and supporting mission-critical software and systems used across multi-domain environments, including the Royal Navy. Working at the forefront of sovereign defence technology, their teams deliver complex systems that support critical naval operations across both surface ships and submarines. Due to continued growth and development of their safety engineering capability, they are looking for a Principal Safety Engineer to lead safety assurance activities across the design, development and maintenance of naval Platform Management Systems. THE PRINCIPAL SAFETY ENGINEER ROLE: As a Principal Safety Engineer, you will lead safety assurance activities across the development and support of complex naval Platform Management Systems, ensuring safety requirements and targets can be achieved through robust system design. You will lead safety analysis and assurance activities, influence engineering design decisions and present complex safety arguments to internal and external stakeholders. Key responsibilities include: • Leading safety activities across hardware, software and firmware systems, • Developing safety activities and work schedules to meet programme milestones, • Leading HAZOP, FFA, FTA, FMECA and LOPA activities, • Leading safety audits, design reviews and safety committee meetings, • Producing high-quality technical safety documentation, • Developing and supporting ALARP justifications and risk assessments, • Analysing hardware and software failure modes, causes and effects, • Working closely with systems, hardware, software, ILS, project management, customer and supplier teams, • Mentoring and supporting junior safety engineers, • Keeping up to date with relevant safety standards, legislation and best practice PRINCIPAL SAFETY ENGINEER ESSENTIAL SKILLS: • Relevant experience within a safety engineering environment, • Experience leading technical safety activities, • Knowledge of IEC 61508 and Def Stan 00-056, • Experience with safety assurance of COTS PE-based systems and/or high-integrity software, • Strong understanding of hardware and software failure modes, • Experience with FMECA, Fault Tree Analysis (FTA), Functional Failure Analysis (FFA) and hazard identification, • Experience with risk assessment and ALARP justification, • Ability to work effectively within multidisciplinary engineering teams, • Degree, HND or HNC in Engineering, Safety Management or a related discipline, • Able to obtain UK SC security clearance #J-18808-Ljbffr

Valarian Technologies is a dual-use technology company building critical tools to safeguard the future in an era of evolving global security challenges. We're rethinking security beyond traditional military domains, addressing asymmetric threats that impact our technological advantage, economic strength, and democratic institutions. We build Acra – the platform foundation for everything we do as a dual-use technology company. The platform's name, rooted in the Greek word for citadel (or, fortress), reflects the design and purpose of our infrastructure-agnostic secure enclaves: protecting critical data. Some of the government and commercial workflows include: increased operational resiliency for mission-critical systems and functions; enabling organisations to more quickly and widely adopt emerging technologies while ensuring the integrity of their intellectual property; information flow during disaster response scenarios, and zero-trust / least-privilege environments for M&A, attorney-client privileged communications, etc. And we've only scratched the surface. At our core, we're driven by a shared mission and a belief in making a tangible impact on our world. Whether you join our London HQ or the wider global organisation, you’ll be a part of collaborative, high-performing teams, creating cutting-edge software, platforms, and infrastructure. You will design, build, and operate backend and platform services for ACRA, a complex security-focused Kubernetes platform that needs to be reliable, observable, scalable, and secure from the start. You will work primarily in Go, building microservices, APIs, internal platform services, and event-driven systems. You will own services end to end: from system design and implementation through to containerisation, deployment, monitoring, debugging, and production operations. You will help shape the infrastructure and delivery foundations around the platform, including Docker, Kubernetes, CI/CD pipelines, GitOps workflows, container registries, secrets management, deployment automation, and Argo-based delivery flows. You will contribute to core platform primitives such as identity-aware service communication, lifecycle orchestration, policy-driven deployment, auditability, observability, and controlled application execution. ACRA’s architecture separates the control plane, platform enforcement layer, and isolated execution environments, so this role requires someone who can reason clearly about trust boundaries, failure domains, and operational responsibility. This is not a role for someone who only wants to take tickets. We are looking for someone who understands the product vision, challenges assumptions, proposes better designs, and helps translate ambiguous requirements into robust technical systems. As ACRA grows, this role offers a clear path to increasing technical ownership and influence. You will not just build services and move on; you will help maintain, evolve, and scale the systems you own over time. You will also help raise the bar for how we design, review, deploy, operate, and learn as an engineering team. You do not need to have worked with every tool in our stack before. We are looking for strong engineering judgement, curiosity, ownership, and the ability to build reliable systems in complex environments. • Build and own backend services, APIs, microservices, and platform components in Go., • Own services from system design through implementation, deployment, observability, and production operations., • Design event-driven, scalable, observable, and resilient systems., • Build and improve Docker images, Kubernetes workloads, CI/CD pipelines, and Argo/GitOps workflows., • Work with container registries, secrets, secure configuration, and deployment automation., • Contribute to platform architecture, system design, security boundaries, and operational models., • Help build platform capabilities such as workload isolation, policy enforcement, auditability, and identity-aware communication., • Work closely with product, leadership, and engineering to turn ambiguous requirements into reliable technical solutions., • Make pragmatic technical trade-offs and explain them clearly., • Improve monitoring, logging, tracing, alerting, and production debugging., • Raise engineering standards through design reviews, code reviews, documentation, and operational improvements., • Operate independently in a startup environment with strong ownership and product thinking., • Senior backend engineering experience, ideally with hands‑on Go experience., • Experience owning production services, not just building features., • Experience building APIs, backend services, microservices, or distributed systems., • Strong experience with Docker, Kubernetes, and CI/CD., • Familiarity with GitOps, Argo, container registries, secrets, and secure deployment workflows., • Strong system design fundamentals, especially around reliability, scalability, observability, and failure handling., • Ability to reason about security boundaries, operational risk, and production failure modes., • Experience debugging issues across applications, services, and infrastructure., • Comfort working from ambiguous requirements and shaping the technical approach., • Product-minded engineering judgement: you care about why the platform is being built, not just what needs to be implemented., • A self‑driven, ownership-oriented way of working., • Comfortable giving and receiving feedback, reviewing designs, and helping improve team standards., • Willingness to work across backend, platform, infrastructure, and DevOps areas. The most important thing is not that you have done everything on this list before. It is that you bring strong engineering judgement, ownership, curiosity, and the determination to build excellent systems. • Secure or regulated environments, such as defence, government, fintech, healthcare, critical infrastructure, or sovereign cloud., • Zero‑trust architecture, identity‑aware systems, policy enforcement, or workload isolation., • Service mesh, network policy, ingress/egress control, or secure service-to-service communication., • Observability tooling, including metrics, logs, traces, alerting, and incident response., • Supply‑chain security concepts such as image signing, vulnerability scanning, SBOMs, artifact verification, or admission control., • Secrets management tools such as Vault, SOPS, Sealed Secrets, External Secrets, or cloud‑native secret managers., • Systems where auditability, traceability, and operational evidence are first‑class requirements., • Startup, platform, infrastructure, or product engineering environments with broad ownership. Again: these are not requirements. They are areas you may get to work with and go deeper into here. • Equity – because you have the right to own what you’re building, • A competitive salary – because we value your unique skills, • Employer pension contributions – because you deserve a secure future, • Private health insurance - because your health is important to us, • Hybrid work setup – because everyone has different needs, • Rewarding company retreats and meetups that respect your work/life balance – because we love getting to know each other! Our culture is built on inclusivity, compassion and flexibility – we want everyone to be empowered to achieve their goals at Valarian. The work we do is vital, but so are the connections that make it happen. We thrive on the shared energy, spontaneous conversations, and mutual trust built when we spend time together. We operate on a hybrid model, gathering in our London office 3 days a week to support one another and collaborate. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

Valarian Technologies is a dual-use technology company building critical tools to safeguard the future in an era of evolving global security challenges. We're rethinking security beyond traditional military domains, addressing asymmetric threats that impact our technological advantage, economic strength, and democratic institutions. We build Acra – the platform foundation for everything we do as a dual-use technology company. The platform’s name, rooted in the Greek word for citadel (or, fortress), reflects the design and purpose of our infrastructure-agnostic secure enclaves: protecting critical data. Some of the government and commercial workflows include: increased operational resiliency for mission-critical systems and functions; enabling organizations to more quickly and widely adopt emerging technologies while ensuring the integrity of their intellectual property; information flow during disaster response scenarios, and zero-trust / least-privilege environments for M&A, attorney-client privileged communications, etc. And we’ve only scratched the surface. At our core, we're driven by a shared mission and a belief in making a tangible impact on our world. Whether you join our London HQ or the wider global organisation, you’ll be a part of collaborative, high-performing teams, creating cutting-edge software, platforms, and infrastructure. Join us as a DevSecOps and help us build the future of data sovereignty! We're seeking an DevSecOps passionate about creating high-performance, secure, scalable, and reliable services for our production infrastructure and security. You'll have a direct impact, improving existing systems and developing innovative solutions to complex challenges. Our small, collaborative engineering teams own the full lifecycle of their services, from development to production operations. We champion automation and empower you to choose the best tools for the job. If you thrive in a fast-paced environment where you can make a real difference, we want to hear from you! • Develop and implement a comprehensive observability strategy for self-hosted deployments, including infrastructure and tooling for monitoring, alerting, and troubleshooting. This will involve designing and implementing robust metrics and logging systems. • Engineer the Acra platform for high availability and fault tolerance. This includes ensuring resilience against Cloud Availability Zone outages and the ability to gracefully handle node failures., • Guarantee 99.9% uptime for the platform's control plane and deployment management. Design and implement a disaster recovery plan with active/passive deployments and seamless failover capabilities., • Architect and implement a highly available deployment setup for applications within the Acra platform. This will involve designing and building the infrastructure and processes necessary for continuous operation., • Create and maintain robust backup and recovery strategies for all Valarian products, ensuring data integrity and minimal downtime in the event of a failure., • Integrate and manage an incident detection and paging solution to ensure rapid response to critical issues and minimize service disruptions., • Scale the Acra platform and applications to support large concurrent user bases (25+ users) and sustained daily usage. This will involve performance tuning, capacity planning, and optimization of resource utilization., • Collaborate closely with the product engineering team to influence the design and implementation of new products and features, ensuring they meet our reliability and scalability standards from the outset., • Bachelor’s degree (or foreign equivalent) in Computer Science or a related fieldis desired; relevant practical experience will also be considered., • Proficiency with programming languages like Go, Bash, Python., • Deep experience with Kubernetes security: RBAC, PodSecurityPolicies (or their replacements), Admission Controllers and Kubernetes network policies., • Proficiency in secure networking practices, including TLS, mutual TLS (mTLS), ingress/egress controls and VPN tunneling configurations., • Proven experience operating and securing service mesh technologies (e.g. Istio, Linkerd, or Consul Connect)., • Hands on experience with HashiCorp Vault in production, including dynamic secrets engines, auth backends and policy design., • Practical knowledge of HAProxy or equivalent reverse proxies/load balancers, with experience configuring L4/L7 security protections., • Familiarity with CVE triage workflows and integrating vulnerability scanners into CI/CD and registry workflows., • Exposure to runtime security tooling (e.g. Falco, eBPF-based monitoring) and familiarity with basic incident response workflows., • Comfort representing engineering in external calls with auditors, pentesters and security vendors; able to explain infrastructure decisions in security terms., • Familiarity with compliance standards (SOC 2, ISO 27001, etc) and cloud security postures in AWS, Azure or GCP would be preferable but not essential., • Competitive salary and equity grants, • Employer pension contributions;, • UK roles include enhanced employer pension contributions, • US roles include 401(k) retirement savings plan – traditional and Roth, • Platinum healthcare benefit;, • For US roles, we offer comprehensive medical, dental and vision plans at little to no cost to you, • For UK roles, Valarian will cover the full cost of the Private Medical Insurance (PMI) premium for an employee and dependents, • Basic Life / AD&D and long-term disability insurance 100% covered by Valarian, • Hybrid work arrangements are managed at team level, • Generous holiday calendar and PTO, • Relocation assistance (depending on role eligibility) Valarian Technologies Limited is an equal opportunity employer and welcomes applications from invdividuals regardless of race, colour, religion, sex, sexual orientation, gender, identity or expression, national origin, age, disability, genetic information, marital status, veteran, amnesty, or any other legally protected characteristic. We are committed to ensuring a fair and inclusive recruitment process and providing employment opportunities to all applicants. Decision recruitment, hiring, and employment are based solely on qualifications, skills, and experience relevant to the job requirements. #J-18808-Ljbffr

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. As a Rapid Prototyping Engineer, you will sit at the intersection of mechanical design, electrical integration, and hardware iteration. You will translate complex concepts and incomplete designs into functional, flight-ready physical prototypes for Helsing's advanced drone platforms. Working closely with design and test engineers, you will own the full build cycle from concept through to field testing, identifying integration bottlenecks, developing custom hardware solutions, and keeping Helsing's developmental fleet operational and ready for flight. Your work directly enables faster learning cycles and more capable platforms, with tangible impact on the pace and quality of Helsing's hardware development programme. • Design, fabricate, and assemble flight-ready prototypes, covering complex folding structures, deployment mechanisms, and integrated avionics bays, translating incomplete or evolving designs into testable hardware on short timescales., • Modify airframes, build custom electrical wiring harnesses, and integrate power distribution and avionics systems to sustain rapid iteration across Helsing's developmental drone fleet., • Integrate and configure flight control platforms (PX4, ArduPilot, or equivalent autopilots), flash firmware, calibrate onboard sensors, and resolve system anomalies during bench and pre-flight testing., • Plan and execute functional and lifetime test campaigns in the field, using telemetry data to close the loop between physical results and CAD model refinement, maturing prototypes through successive iterations., • Collaborate with design and test engineers to surface integration risks early, delivering targeted hardware solutions that keep the developmental fleet on schedule and mission-ready., • Have taken unmanned aerial systems (multicopter, fixed-wing, FPV, or ISR platforms) or highly complex mechanical or robotic systems through the full cycle from concept to physical assembly to field testing., • Are proficient in 3D CAD (SolidWorks/PDM or Siemens NX/Teamcenter) and have applied structural validation techniques, including FEA, to aerospace or UAV hardware, with a solid understanding of GD&T., • Are skilled in workshop fabrication, with hands-on experience working with composites, metals, 3D printers, precision hand tools, and soldering stations to build, modify, and reinforce structures., • Have practical experience integrating and troubleshooting flight control platforms, payload electronics, and power distribution systems on UAV or similarly complex platforms., • Are comfortable working with incomplete documentation and evolving requirements, taking end-to-end ownership of outcomes and applying sound engineering judgement to keep work moving forward. Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don't meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. • Practical background flying, testing, and operating drones in field environments (multicopter, fixed-wing, or FPV), including familiarity with Hardware-in-the-Loop (HIL) test environments and automated telemetry or data-logging hardware., • Hands-on knowledge of structural composites, including carbon fibre layup and vacuum bagging, and experience with advanced aerospace materials., • Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns, • The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world, • Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward, • In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts, • We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about, • Competitive salary and VSOP options, • Relocation support: up to €2,500 and 4 weeks temporary accommodation, • Learning: €500/£450 yearly allowance, • Health & wellness: gym membership and mental health support (Nilo.health), • Social: regular company events and monthly social allowances, • Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers, • Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work, • A hands-on onboarding program (affectionately labelled "Infraduction"), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here. #J-18808-Ljbffr

Confident decisions in days with AI-led interviews. £80K - £130K GBP London • Job type Full-time, • Role Engineering, Full stack, • Experience 5+ years, • Visa US citizenship/visa not required Conveo is a Y Combinator -backed company in an active growth period. We started this year as a team of ~20 and are on track to reach ~120 people by year end. The people who join now have an outsized chance to shape how this company is built. The engineering team is small and deliberately so. There are no product managers, no designer handoffs, no tickets waiting for someone else to prioritise. Engineers own the full distance from customer problem to working software, and that proximity to the product is exactly what makes this role interesting. You'll report directly to Maarten, our CTO. We care deeply about what we build and we genuinely enjoy building it together. Dig deeper into our Engineering/Product ways of working here Conveo is the AI research platform enabling fast, affordable, and high quality consumer / B2B research. Global brands like Unilever, Google, and Orange use our AI video interviewer to generate insights across marketing, and product teams. Traditional research is slow, expensive, and superficial. Running it well requires expertise most teams don't have. That gap affects how well companies understand their customers and how well they can serve them. We're closing it. We need a Senior Product Engineer who works backwards from the experience. This is someone who starts with the user's problem, not a spec, and owns everything between that conversation and the code that ships. You shape what gets built, actively contributing to product direction, influencing what we build and how we build it, with real technical and strategic impact. Own the full stack, from the interface to the infrastructure Build the interface customers open every day and can't imagine working without. React is the core of what customers see and touch — you lead frontend architecture in React and TypeScript, set the quality bar for components, state management, and performance. And you don't stop there. From API design to cloud infrastructure (AWS), you ship complete, polished features end to end, including AI-powered ones built on LLM APIs, prompt engineering, and async pipelines. Be the engineering voice in every customer conversation When a customer has a need, an engineer hears it, interprets it, and solves it. You join customer calls (about once a week), form a clear point of view on what to build, translate feedback into scoped product decisions, and follow through. Use AI throughout You reach for agentic solutions first. You use AI to reason, build, review, and test at every stage and you help raise the bar for how the whole team works. Documentation overhead doesn't slow us down here — AI handles that layer, and you're someone who is happy to work that way. You stay current on what frontier models can do and bring that into what we ship. • 6+ years of experience building full-stack applications with TypeScript and Node.js., • Strong backend experience: designing APIs, working with PostgreSQL, and managing background jobs and async workflows., • Solid frontend skills with React. ., • Experience with cloud infrastructure (AWS and/or GCP) — you're comfortable with services like S3, media pipelines, and deployment tooling., • Experience building AI-driven applications (e.g. prompt engineering, working with LLM APIs, and/or fine-tuning experience are a plus)., • Can independently lead projects from concept to launch., • Excellent written and verbal communication skills in English with a keen eye for detail., • A collaborative mindset, able to work autonomously in a small, fast-paced team., • Experience with React Router v7 or Remix., • Experience at a small, fast-moving SaaS company where you’ve been client-facing, • Exposure to market research or qualitative research tooling., • You've shipped agentic AI systems to production and can speak to failure modes, evaluations, and tool design., • Ship alongside engineers who've built and scaled products used by millions., • Work directly with frontier AI models and push what they can actually do., • Join a YC-backed team that's growing fast and gives you room to grow with it., • Competitive salary and meaningful equity. We want you to own a real piece of what we're building., • Offices in London, Antwerp, and New York. We work best together, so we ask for 3 days a week in the office., • Regular socials: rooftop drinks, team dinners, run clubs, and more., • Twice-yearly off-sites to places worth travelling to. Austria, Las Vegas, and Portugal., • Private health coverage with Vitality (incl. dental, vision), • Enhanced employer pension contribution (5% employer, 3% employee contribution), • Refer someone great and earn up to £5,000. #LI-ML1 Founded in 2024 and backed by Y Combinator, Conveo is the leading AI-powered customer insights platform. We help the world's largest companies understand their customers — running hundreds of in-depth video interviews overnight, across any language, at a fraction of the cost and time of traditional research. Since launch, we've become a trusted partner for Unilever, P&G, Nestlé, Google, Canva, and 400+ enterprise teams globally. What we're building Customer insights has been broken for decades — slow, expensive, and impossible to scale. A study that used to take weeks of scheduling, interviewing, and manual analysis now runs overnight. Our AI moderates real conversations the way a trained researcher would: listening actively, probing for depth, and building on each answer. Over 70% of the insights we surface come from AI-driven follow-up questions — depth that no survey has ever achieved. The result is a platform that doesn't just run studies. It builds a living knowledge layer — so every team in an organization can ask questions about their customers and get answers grounded in real human voices. The opportunity The market research industry is $100B. The qualitative slice alone is $30B. And AI is expanding what's possible, not just automating what exists. We're early in a long game. The team Our Head of Research, Niels Schillewaert, founded Human8 — a 600-person global insights agency. Our CEO co-founded a $75M ARR startup, Datacamp, as CTO. Our commercial team comes from McKinsey and includes former VPs from Ipsos. We raised a $5.3M seed round in early 2025. The moment We entered 2026 as a team of ~20. We're on track to reach 120 people by year end. If you want to join a company at the exact inflection point between early-stage scrappiness and real scale — this is it. #J-18808-Ljbffr

London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community.Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Neo4j's managed cloud offering, Aura, brings the power of graph databases to the cloud. We're forming a new Product Analytics Platform team. As Neo4j Aura’s platform and product surface area have grown, so has the need for a consistent, purpose-built way to capture what's happening across them. Today, each product tracks its own data, but retrieving it can be difficult. This team will own the Analytics API and infrastructure that collects raw product analytics events from across Neo4j's products so every team integrates with one contract instead of inventing their own. The Role: In this role you’ll be one of the founding members of the Product Analytics Platform team. You’ll help define the technical foundations for how product analytics data is captured across Aura, building the Analytics API and underlying infrastructure that provides a consistent integration point for engineering teams across Neo4j. You’ll have significant ownership over the design of the API, balancing the needs of multiple product teams with the long-term maintainability of the platform. You’ll work closely with Product Management and other engineering teams to shape the solution, drive adoption, and evolve it as the platform grows. Primary responsibilities • Design, build, and operate the Analytics API and the underlying infrastructure, defining the schema and integration contract used by teams across Aura., • Make pragmatic architectural decisions around event ingestion, data contracts, reliability, and scalability as the platform grows., • Build a simple, well-defined integration layer that makes it easy for product teams to send analytics events without coupling them to the underlying data infrastructure., • Drive adoption across the Engineering organisation, working with teams to integrate with the API and providing the guidance and documentation they need., • Keep product analytics and billing concerns cleanly separated, even where the underlying data flows or infrastructure may be similar., • Evaluate build vs. buy across the existing analytics and data stack, including tools such as Segment and BigQuery, keeping the API focused on collection rather than reimplementing downstream capabilities., • Partner closely with the team building the downstream data pipeline to ensure raw events are reliable, well-structured, and usable for analytics., • Define and evolve the platform through RFCs, technical documentation, and close collaboration with Product Management and other engineering teams. What you'll need • Strong backend software engineering experience, with Go as your primary language, building and operating APIs, services, or ingestion systems that other teams depend on., • Experience designing well-defined APIs and integration contracts, including thinking about schemas, backwards compatibility, validation, and how other engineering teams will consume them., • Experience building production services in Go, from smaller utilities and scripts through to larger, long-running services or microservices., • Familiarity with event-driven systems, data ingestion, or data pipeline tooling such as Segment, BigQuery, or similar., • Ability to work independently in a new area, make pragmatic technical decisions, and drive work forward with limited direction., • Comfortable writing RFCs and technical documentation, and working across teams to establish and drive adoption of a new integration point., • Clear, concise communication — a lot of this role involves defining contracts, documenting decisions, and helping other engineers integrate with what you build. What's nice to have • Experience with observability, including tracing, logging, and metrics., • Experience integrating with GCP, AWS, or Azure., • Experience working with product analytics, event tracking, or telemetry systems. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. • Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history., • Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success., • Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform., • A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: • (we)-[:VALUE]->(relationships), • (we)-[:FOCUS_ON]->(userSuccess), • (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}), • (we)-[:ASSUME]->(:Intent {direction:’Positive’}), • (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}), • (we)-[:DELIVER_ON]->(ourCommitments) Interested in building your career at Neo4j? Get future opportunities sent straight to your email. #J-18808-Ljbffr

Explicitly requires vibe coding skills — hands-on with Cursor workflows and agentic LLM-based coding while partnering with engineers. Own strategic customer engagements at Cursor from initial workshop through delivery, translating executive priorities into tightly scoped, high-impact projects. Partner with Forward Deployed Engineers to deliver and operationalize LLM and agentic-coding solutions while driving adoption and executive alignment. Forward Deployed Strategist responsible for leading high-value customer engagements from scoping through delivery and adoption. You will own the executive relationship, translate business problems into time-boxed technical deliverables, and partner closely with Forward Deployed Engineers (FDEs) to deliver production-ready AI-native workflows. • Scope engagements with executive sponsors: translate ambiguous business problems into concrete, time-boxed deliverables with clear ROI., • Lead technical discovery and architecture reviews to surface integration complexity and infrastructure constraints., • Work side-by-side with FDEs on the technical build: own configuration-layer work including workflows, settings, integrations, and platform tooling that do not require heavy custom code., • Drive technical enablement and adoption: run hands-on training, build playbooks and reference workflows, and coach customer teams until self-sufficient., • Monitor technical feasibility throughout delivery and adjust scope with sponsors as constraints emerge., • Identify and scope expansion opportunities during delivery in partnership with the account team., • Escalate product gaps, integration friction, and recurring customer pain to Product and Engineering with actionable specificity., • Build reusable playbooks to increase the broader FDE organization’s capability., • Serve as the primary point of contact for executive stakeholders from kickoff through handoff and sell the vision and plan to C-suite sponsors., • 6+ years in Solutions Architecture, Deployment Strategy, technical consulting, or Engagement/Engagement Manager roles owning scoping and delivery with technical teams in AI-production workflows., • Practical understanding of agentic coding and LLMs: how they behave in production, common failure modes, and resilient workflow patterns., • Proven track record shipping AI-native workflows beyond prototype to production and distinguishing real production constraints from nice-to-haves., • Strong executive presence and ability to build trust with C-suite sponsors and engineering leaders., • Domain expertise in FSI, insurance, telecom, high-tech, healthcare/life sciences, or semiconductor is a strong plus., • Delivering fast, tightly scoped projects that demonstrate clear ROI in weeks, not quarters., • High adoption as measured by customer teams operating independently without hands-on support., • Actionable feedback loops into Product and Engineering that influence roadmap priorities. Solutions Architecture Deployment Strategy Technical Consulting Engagement Management Stakeholder Management Executive Presence Scoping Delivery Management Technical Discovery Architecture Review Integration Assessment Hands-on Configuration Workflow Design Training and Enablement Coaching Adoption Management Playbook Development Product Feedback & Escalation Project Management Communication Judgment #J-18808-Ljbffr

Join our new AGI safety product team and help transform AI control research into practical tools that directly reduce risks from AI. As an Research Scientist (Control), you’ll work closely with Marius (CEO & currently leads the monitoring efforts), other control researchers and product engineers. We are currently building Watcher, a monitoring tool for coding agents. Our monitoring research agenda attempts to translate compute into safety at scale. You will join a small team and will have significant ability to shape the team & tech, and have the ability to earn responsibility quickly. You will like this opportunity if you’re passionate about using empirical research to make AI systems safer in practice. You enjoy the challenge of translating theoretical AI risks into concrete detection mechanisms. You thrive on rapid iteration and learning from data. You want your research to directly impact real-world AI safety. TLDR: you will design & implement control protocols (see e.g. [Greenblatt et al, 2023]) and test them on real-world production systems at scale. Research & Development Design and conduct experiments to test monitor effectiveness across different failure modes and agent behaviors Build and maintain evaluation frameworks to measure progress on monitoring capabilities Build and maintain high-quality datasets to train and test monitors on Iterate on monitoring approaches based on empirical results, balancing detection accuracy with computational efficiency Contribute newly discovered coding agent failure modes to Apollo's shared failure mode library (owned by the AI Security & Control Researcher/Engineer) as they surface during monitor design, evaluation, and iteration Stay current with research on AI safety, agent failures, and detection methodologies Stay current with research into coding security and safety vulnerabilities Fine-tuning & Monitor Development Fine-tune open-source models to create efficient monitors for high-volume production environments Design and build agentic monitoring systems that autonomously investigate logs to identify both known and novel failure modes Incorporate adversarial findings from red‑teaming campaigns into monitor design and evaluation, closing the loop between attack and defense Must-haves 2+ years of experience conducting empirical research with large language models or AI systems Strong experience with AI coding agents. For example, having extensively used and compared frontier coding agents, or having designed / developed coding agents Experience with LLM-as-a-judge setups or AI monitoring more broadly Experience designing and running experiments, analyzing results, and iterating based on empirical findings e.g. prompting, scaffolding, agent design, fine-tuning, or RL Strong Python programming skills Demonstrated ability to work independently on open-ended research problems Good-to-haves Familiarity with AI safety concepts, particularly agent-related risks Familiarity with computer security, e.g. security testing and secure system design Experience fine-tuning language models or working with smaller open-source models Previous work building developer tools or monitoring systems Publications or contributions to AI safety or ML research Experience with production log systems or production log analysis We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. Hierarchical monitoring for coding agent security: Design a multi-layer monitoring system for detecting security vulnerabilities introduced by coding agents. Start by cataloging common security failure modes (e.g., hardcoded credentials, SQL injection vulnerabilities, insecure API calls). Build specialized monitors for each category, then create a hierarchical system where fast, efficient first-pass monitors flag potentially problematic code for deeper investigation by more sophisticated monitors. Design a backtesting strategy for Watcher: Validate the system on synthetic test cases and real agent outputs, iterating to optimize the tradeoff between detection rates and false positives while maintaining low latency for most monitoring decisions. Fine-tune an open-source model to be a great monitor: Take an open-source model and fine-tune it on our large dataset of coding agent failures with high-quality ground truth labels. Test different fine-tuning techniques and measure generalization to our held-out data. Compare against prompted baselines on accuracy, cost and latency. The goal is to fine-tune models to lift the pareto frontier of monitors. This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco: $204,000 – $385,000; London: £136,000 – £258,000. We will be looking to meaningfully raise salaries soon. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) Time Allocation: Full-time Location: This is an in‑person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn’t guaranteed for every role or candidate, but if we make you an offer, we’ll work with you to find the right visa route. The product team consists of research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. #J-18808-Ljbffr

At Vanta, our mission is to help businesses earn and prove trust.We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Solutions Engineer, you'll serve as a trusted technical voice, guiding customers toward clarity, feasibility, and alignment on the end-to-end solution. Because Vanta is the platform our customers rely on to build and run their GRC programmes, this is a natural next step for GRC professionals, programme managers, auditors, and compliance practitioners who want to apply their domain expertise in a strategic, customer-facing pre-sales role. You'll be an integral part of the Sales team, working to ensure technical fit and create innovative solutions for our customers. Your attention to detail, focused on customer needs, will ultimately improve retention and overall success. This role will be based from our London office or Dublin office with an office-centric hybrid schedule. The standard in-office days are Tuesday, Wednesday, and Thursday. GRC practitioners are especially encouraged to apply—whether you've managed GRC programmes in-house, audited them as an internal or external auditor, or helped customers meet their GRC programme needs at a GRC vendor, you'll bring exactly the customer empathy and domain fluency this role thrives on. Serve as a strategic sales partner, owning the technical relationship with prospects and customers. Strategic Discovery and Deal Qualification: Partner with Account Executives to uncover technical, operational, and business pain points, validating use cases and aligning solutions to measurable customer impact and urgency. Secure the Solution Win and Alignment: Validate technical feasibility, drive clarity on success criteria, and guide stakeholders toward a shared vision for the end-to-end solution (The Solution Win: Desirable, Viable, and Aligned). High-Impact Technical Validation: Deliver tailored, narrative-driven demonstrations that showcase how Vanta solves the customer's specific problem, including how Vanta automates and operationalises their GRC programmes across frameworks such as SOC 2, ISO 27001, and HIPAA. Validate the feasibility of standard and semi-complex integrations and confirm alignment with customer environments, workflows, and architectures. Solution Strategy and Deal Shaping: Partner with the Account Executive to align the customer's success criteria with Vanta's unique strengths, proactively surface technical risks, and propose clear pathways to ensure focused deal progression and mutual success. Post-Sale Handoff and Continuity: Ensure a seamless transition to the post-sales team by creating and completing a handoff document that captures the finalised solution design, expectations, and any known risks or constraints. Cross-Functional Feedback: Act as a trusted technical voice, listening carefully to customers to provide structured market feedback to the Product team to prioritise functionality and drive sales opportunities. Support customers throughout their trial process with Vanta. Cultivate an environment of teamwork, openness, creativity, and continuous improvement. Must be able to work in our London office 3 days a week (Tuesday, Wednesday and Thursday). Have 5+ years of customer-facing, technical experience as a solutions engineer, sales engineer, GRC consultant, or equivalent customer-facing role, including previous B2B SaaS experience. Strategic Problem Solver: Possess deep technical proficiency to identify and validate technical, operational, and business pain points, driving clarity on solution requirements (Viable Solution Win). Exceptional Communicator: Exhibit outstanding communication, storytelling, and active listening abilities, capable of delivering tailored, high-impact demonstrations that reinforce the sales narrative (Command of the Message). Customer-Centric Advocate: Lead with empathy and curiosity, focusing on strategic discovery to uncover the why and urgency behind customer needs and tying every technical detail to measurable buyer impact (Desirable Solution Win). Collaborative Deal Shaper: Work in lockstep with Account Executives on deal strategy, proactively strengthening qualification and guiding stakeholders toward alignment on a clear delivery path (Aligned Solution Win). Have hands‑on experience with cloud platforms: AWS, Google Cloud, Microsoft Azure & Operating Systems (Windows, MacOS, Linux) and cloud application architecture. Be detail-oriented and organised, with strong project management skills. Have general knowledge with a scripting language (Python, Ruby, Bash, and JavaScript) and a desire to expand those skills. Be familiar with REST API development and service integrations is a plus. Ideally have prior experience in the cybersecurity, GRC (governance, risk, and compliance), or audit space. Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact. Industry‑competitive salary and equity 100% covered medical, dental, and vision benefits with dependents coverage 16 weeks paid Parental Leave for all new parents Health & wellness stipend Remote workspace, internet, and mobile phone stipend Commuter benefits for team members who attend the office Pension matching 25 days of Annual Leave per year and unlimited sick time 8 company-paid holidays Virtual team building activities, lunch and learns, and other company‑wide events! Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney #LI-hybrid At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply. We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation.Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent. #J-18808-Ljbffr

The Experience team owns the human-facing side of Callsign: the client portal, our demo and client management platform (one platform for the whole client journey, from first demo through proof of concept, onboarding, integration, analysis and ongoing management), the data-product UIs, and the design system and engineering standards behind all of it. This position is offered as a 12 month fixed-term contract with the successful candidate ideally joining in 2026. The candidate will already need to hold the right to work in the UK. • Own features end-to-end, from ambiguous requirements to shipped experience: fills design gaps with defensible decisions and delivers a coherent flow rather than a set of components, • Contribute actively in refinement: challenge requirements with evidence, propose simpler alternatives, and bring product ideas of your own, • Know the outcome each feature serves, instruments what they ship so that outcome is measurable, and checks whether it landed (usage, feedback, demo performance) rather than stopping at merge, • Understand the domain the product lives in (fraud, identity, authentication, and the client's operational world) well enough so that gap-filling decisions reflect, • Implement non-trivial components and async data flows, • Diagnose and fix performance and accessibility issues rather than merely detecting them, • Handle secrets/config surfaces safely, • Ship features that span frontend, backend service and configuration, • Debug across the boundary to root cause, • Significant changes start as a written design others can review, rather than as code, • Design the test approach for your features (what gets unit, component and e2e coverage, and why), • Keep regression suites healthy in your area; e2e failures you own get fixed rather than retried, • Land toolchain and pipeline improvements (build config, CI automation, test infra, dependency upgrades) beyond your immediate feature work., • Ship across the stack: TypeScript/React frontends, Node services (with some Java in the portal estate), API contracts, GitLab CI/CD, and deployment via Helm, GitOps and Terraform., • Treat the frontend craft triad - accessibility, performance, security - as engineering, with expectations that rise as you grow., • Build with AI as a core part of your workflow, with the verification discipline a regulated product demands., • Learn the domain deliberately: fraud, identity, authentication, and our clients' operational world, because product decisions made without it are guesses., • Write meaningful tests for everything you ship., • Solid JavaScript/TypeScript and React., • Comfort somewhere beyond the frontend: an API, a service, or infrastructure., • System design and architecture, designing features that span frontend, service and configuration., • Evidence of AI-native working with stated verification., • A testing instinct: you can design a test approach and defend it., • Product judgement demonstrable from your history: UX decisions made and defended without a design spec., • Ownership of a surface or programme through its worst weeks, at any scale., • Java in production; design systems or component library work; SDK or library engineering; data visualisation, • Experience in regulated industries (fintech, identity, payments). Pension scheme with Scottish Widows Private medical cover with Vitality Life assurance (4x base salary) Personal Learning & Development Budget Cycle to Work Scheme Company Family Leave 25 days annual leave plus Callsign Bank Holiday Employee Volunteering Program #J-18808-Ljbffr

The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide.At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world.In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeingYour future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere.Build a newsworthy career at the FT. We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. We’re looking for a Senior Cyber Security Engineer to help mature application and cloud security across the FT’s cloud-native, AWS-hosted technology estate. This role has an approximate 50/50 focus across application security and cloud security, working closely with product, platform and engineering teams to make secure delivery easier by default. You’ll shape and improve developer-friendly guardrails across GitHub-based CI/CD pipelines, AWS environments and infrastructure-as-code workflows. This includes improving SAST, software composition analysis, secret scanning, IaC scanning, vulnerability management and AWS misconfiguration management so that findings are actionable, low-noise and owned by the right teams. Day to day, you’ll run practical threat-modelling sessions, review application and cloud designs, improve security playbooks, support vulnerability and misconfiguration remediation, and build automation that reduces toil. We’re looking for someone who has demonstrably improved security outcomes in real engineering environments, not just someone with theoretical knowledge of tools or frameworks. Depending on team structure, you may also mentor or line-manage one or two security engineers, while remaining hands‑on and close to the technical work. Application and cloud security experience: practical experience across both application security and cloud security, ideally in AWS-hosted, cloud-native environments. Developer-friendly security mindset: you know how to work with engineers, explain risk clearly and design controls that help teams move securely without unnecessary friction. Vulnerability management at scale: experience improving how application vulnerabilities, dependency risks, bug bounty findings, penetration test findings and advisories are identified, prioritised, owned and remediated across engineering teams. Cloud misconfiguration & vulnerability management: experience identifying and reducing infrastructure-as-code and AWS vulnerabilities & misconfigurations at scale through pragmatic guardrails, tooling and clear remediation paths. Threat modelling: confidence running lightweight, practical threat-modelling sessions that lead to useful engineering decisions and risk reduction. CI/CD and code security: hands‑on experience with security tooling such as SAST, software composition analysis, secret scanning and IaC scanning. Automation mindset: ability to write scripts or small tools, ideally in Python, to reduce toil, improve visibility and surface meaningful risk. Security leadership: ability to mentor other security engineers and influence engineers across the wider organisation. Depending on team structure, this may include line management. AI security awareness: experience of leveraging AI to improve and scale appsec and cloud sec controls would be useful, but is not essential. Improve application security guardrails Tune and evolve SAST, software composition analysis, secret scanning and related controls so they are actionable, low-noise and useful to engineering teams. Improve cloud and IaC security guardrails Help identify, prioritise and reduce AWS and infrastructure-as-code misconfigurations and vulnerabilities at scale. Drive vulnerability management Improve how application vulnerabilities, dependency risks, bug bounty findings, penetration test findings and third-party advisories are triaged, prioritised and remediated. Drive cloud misconfiguration management Help teams understand, own and remediate cloud security issues using pragmatic, developer-friendly workflows. Run practical threat modelling Facilitate lightweight threat-modelling sessions for new products, features, services and architectural changes. Build automation and tooling Create or improve scripts, integrations, dashboards and workflows that reduce manual effort and make risk easier to understand. Support secure architecture decisions Provide application and cloud security input into design reviews, AWS architecture decisions and larger technical changes. Partner with engineering teams Work closely with product, platform and software engineering teams to embed security into design, delivery and operational practices. Support incidents and lessons learned Provide application and cloud security expertise during incidents and feed lessons learned back into patterns, tooling and guidance. Mentor others Coach security engineers and engineering teams on practical security approaches. Depending on team structure, this may include line management of one or two security engineers. Required Experience, Essential: • Strong practical experience in application security and cloud security, ideally with a balanced focus across both., • Hands‑on AWS security experience, including common misconfiguration patterns and practical remediation approaches., • Experience improving vulnerability management across engineering teams, including prioritisation, ownership, remediation tracking and noise reduction., • Experience in improving cloud or IaC misconfiguration management at scale in a developer-friendly way., • Experience integrating, tuning or improving security tooling in CI/CD workflows, such as SAST, software composition analysis, secret scanning or IaC scanning., • Experience running practical threat-modelling sessions that influence design, delivery or remediation decisions., • Ability to write scripts or small tools, ideally in Python, to automate security workflows or improve visibility., • Strong communication and collaboration skills, with the ability to influence engineers and technical leaders without relying on gatekeeping., • Evidence of improving application security, cloud security or vulnerability management practices in a real engineering environment., • Familiarity with Agile or Scrum ways of working. Desirable • Experience with leveraging AI for AppSec and CloudSec., • AWS Certified Security – Speciality or equivalent practical AWS security experience., • Terraform or CloudFormation expertise., • Incident-management or incident-response experience., • Experience with Splunk or similar logging/SIEM platforms., • Experience with security metrics, dashboards or reporting that helped drive measurable risk reduction., • Experience mentoring or line-managing security engineers. Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here. We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning. We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email and a member of our team will be happy to help. Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. #J-18808-Ljbffr

Date Posted March 10, 2026 April 30, 2026 Location London, UK (Hybrid) Offered Salary Experience 3–5 Years of Professional Experience in Data Engineering Qualification Bachelor's Degree in Computer Science, Data Engineering, or related field As a Data Engineer at Nexalytica, you will build and maintain the infrastructure that connects our platform to the databases our customers rely on every day. You will design high-performance query execution layers, develop new database connectors, and optimise the pipelines that turn raw schema metadata into the context our AI needs to generate accurate answers. You will work on challenges like query optimisation across heterogeneous database engines, intelligent caching strategies for large datasets, and schema discovery that works reliably across thousands of different database configurations. Your work directly affects the speed, accuracy, and reliability of every insight Nexalytica delivers. This role sits at the intersection of data infrastructure and product. You will collaborate closely with AI/ML engineers who depend on the data layer you build, and with full-stack engineers who surface your work to end users. If you love the craft of making data systems fast, correct, and elegant, you will thrive here. You are an engineer who thinks about data from the ground up -- how it is stored, how it moves, how it is queried, and how it can be made accessible to people who do not speak SQL. You have strong opinions about query performance and you back them up with measurement. • 3–5 years of experience in data engineering or backend infrastructure., • Deep proficiency in SQL and experience with multiple database engines (PostgreSQL, ClickHouse, BigQuery, MySQL)., • Experience building database connectors or integration layers., • Strong Python skills for scripting, tooling, and pipeline development., • Familiarity with data modelling, schema design, and query optimisation., • Experience with cloud infrastructure (AWS, GCP, or Azure). We invest in the people who build the foundation everything else runs on. • Competitive salary + meaningful equity., • Hybrid working from our London office with flexible remote days., • £2,500 annual learning and conference budget., • Latest hardware and tooling of your choice., • 25 days annual leave + bank holidays., • Private medical insurance and pension scheme. Get started for free and turn your raw data into actionable insights in minutes. #J-18808-Ljbffr

🇬🇧 Heads up! This role is based 100% in-person from our office in Shoreditch, London. —————————— Askable began in 2017 as an idea scribbled on a sticky note, born out of frustration with the clunky, outdated research processes we’d experienced firsthand. We saw a world full of great ideas bogged down by slow, unresponsive research methods. So, we set out to build a new way—one that makes quality research accessible to everyone, from Fortune 500s to startups hungry for insights. More than just a platform, Askable is a promise to unlock impact at scale. By providing seamless access to high‑quality participants and Certified Askable Researchers, we enable teams to scale research on demand, deliver insights faster, and, ultimately, build things that matter. Now with offices in Brisbane Australia, London, and Chicago, we’re bringing Askable’s research power to teams everywhere, so they can make smarter, user‑driven decisions. —————————— Our culture drives everything we do. We live it, breathe it, and work every day to make Askable a place where people can thrive. We believe work should be fulfilling, exciting, and meaningful. Here, you’re not just part of a team. You’re part of a community that cares about what they’re building and how they’re building it. In fact, we take culture so seriously that we wrote a book on it. Our Culture Book guides what we stand for, how we work, and the values that unite us—because nothing beats winning with a team you genuinely love working with. —————————— As a Senior Enterprise Customer Success Manager, you’ll work closely with your clients to plan, scope, and activate high-impact research. You’ll guide them in building a continuous cadence of discovery through Askable Tracks, and ensure the insights they uncover truly move the needle for their business. At Askable, we don’t believe Customer Success is just about retention - for us, great CS is about delivering exponential value over time. We’re not here to simply keep clients; we’re here to help them grow. And we believe that when our clients succeed, we succeed. This is a rare opportunity to help shape and grow the world’s biggest brands by connecting them with game‑changing insights from their customers and markets. —————————— • Guide your customers to shape and deliver research that drives real outcomes for their business and customers, • Get your customers hooked on Askable Tracks through building a continuous cadence of high‑impact research, • Scope and plan projects in collaboration with customers, ensuring each one aligns with their objectives and supports insight‑driven decision making, • Enable and equip stakeholders across research, product, design, and operations - from hands‑on users to senior leaders - to succeed through continuous access to quality research and insights, • Collaborate with internal teams (Delivery, Fulfilment, Product, Sales) to ensure projects are delivered seamlessly and insights land with impact, • Actively manage account health to surface risks and unlock opportunities to deliver exponential value - driving retention, growth, and expansion of your client relationships —————————— At least 2 years experience in a Customer Success, Account Management or Client Services role within a SaaS or commercial B2B environment. You’ll also be able to demonstrate: • Experience managing large, strategic accounts (e.g. £150k+ ARR or high‑complexity stakeholders), • Proven progression in your career (e.g. promoted, owned more complex portfolios, led initiatives), • Familiarity with long sales or renewal cycles, enterprise stakeholder dynamics, and post‑sale value delivery, • Exposure to a high‑growth or startup/scale‑up environment where ambiguity, experimentation, and ownership are part of the job —————————— This isn’t just a relationship role - it’s about making your clients successful through strategic partnership and operational follow‑through. You’ll bring: • Strategic thinking and commercial fluency — able to shape long‑term account plans, tie research to business outcomes, and spot opportunities for growth, • Clear planning and prioritisation — structured in managing portfolios, stakeholder engagement, and next steps, • Confident communicator and collaborator — able to influence cross‑functional teams and tailor your style for execs or researchers, • Empathy + edge — you care about people, but are also comfortable using your expertise to deliver healthy challenge that helps clients get closer to their goals, • Resilience and curiosity — comfortable navigating ambiguity while continuously learning and improving —————————— We'd love for you to be pumped about the role itself and believe that perks should just be the icing on the cake (not the driving factor for joining the team). Saying that, here are a few benefits to get you even more excited: • Competitive Salary, • An extra 15 days of paid annual leave (We call them Askable Days and we all take them on the same day so no one can bother you on that day), • Breakfast on us, every day!, • Opportunities for international travel, including an epic trip to Askable HQ in Australia, • Plus more — we’ll be happy to chat about all our other perks during the interview process! —————————— If you’re reading this and are excited but a little scared because you don’t think you have it all, research shows that some people (particularly women and those in minority groups) are less likely to apply to a job unless they meet every single criteria. At Askable, we’re committed to building diverse teams so we’d encourage you to apply even if your past experience doesn’t align perfectly with the requirements. #J-18808-Ljbffr

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Prime team 's mission is to build Bitstamp's prime brokerage for institutional clients — the platform that lets hedge funds, market makers, and professional trading firms onboard, fund, trade, borrow against, and settle positions at scale. We build the systems that move real institutional money: cross-venue settlement, credit against collateral, matched-book lending, and the bridge that brings tokenized securities to our order book — together with the client- and ops-facing surfaces that make them usable, from institutional onboarding and account configuration to reporting and the backoffice tooling our operations run on every day. These are correctness-critical systems where a wrong answer can't be cheaply undone - getting them right is the whole job. As a Senior Full-Stack Software Engineer, you will own the design and end-to-end delivery of features across that whole surface — from the Prime backend services down to the frontend and backoffice screens that expose them. You'll lead other engineers through problems of high ambiguity, set the technical bar for how we build for failure and not just the happy path, and follow a problem across the full institutional lifecycle rather than stopping at a boundary. Flexibility is the job: some weeks that's a settlement edge case in the backend, others a client onboarding flow or an ops dashboard, and you're happy owning whichever the work needs. This role is based in our London office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. Requires participation in an on-call rotation to support business needs. Lead the design and end-to-end delivery of features across the stack — from Prime backend services (settlement, on-exchange credit, lending, tokenized securities) through to the frontend and backoffice screens clients and ops teams rely on. Own the client- and ops-facing journeys across the institutional lifecycle — onboarding, account configuration, reporting, and the tooling that lets operations run the business safely. Author detailed designs and break work into reviewable steps, making failure states, invariants, and recovery explicit before you ship — on flows where a wrong answer moves real money. Uplevel the team through design-focused code review and mentorship, and move fluidly between backend and frontend as the work demands rather than handing off at a boundary. A track record of independently delivering complex, high-ambiguity projects with long-term impact, operating them in production and owning every line you ship. Strong full-stack range in production — a modern backend (we work primarily in Python/Django and Go) and a component-based frontend (we use Vue) — with the judgment to know where a given problem is best solved and a genuine willingness to own whatever the feature needs, wherever it lives in the stack. Hands-on experience building financial systems — user balances, ledgers, risk engines, settlement, onboarding/KYC, or payments — where correctness is non-negotiable and mistakes are expensive. Strong design judgment: you enumerate the failure paths, name your invariants, and can point at the constraint, test, or alert that enforces each one. Excellent communication: you drive alignment across teams and stakeholders, give substantive design-level review feedback, and mentor engineers to raise the bar around you. • Challenging, high-impact work to grow your career and shape the future of global institutional finance, • Performance-driven compensation with multipliers for outsized impact, bonus programs, and equity ownership, • Top-tier health benefits to fuel your work, including 100% employer-paid private medical insurance for you and comprehensive coverage for dependents, alongside mental health and wellbeing support programs, • Aviva Pension Scheme with highly competitive company matching to secure your future, • Lifestyle Wallet: A highly flexible employer-paid benefits spending account to offset expenses like wellness, learning, childcare, and more, • Access to the best AI tools on the market with continuous AI skill-building opportunities for all employees, • Time to recharge: Generous paid time off, company holidays, sick time, parental leave, and paid volunteer time off, • Exceptional office experience: Catered meals, fully stocked snacks, team social events, and modern workspaces in our London location If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application. #J-18808-Ljbffr

Location: Oxford or London (Hybrid) Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer, healthier lives, using the power of genomics. Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time. Genomic data is some of the most sensitive data there is, and our customers trust us with it. As Senior Application Security Engineer on Mystra, you'll own application security end-to-end across multi-tenant, trillion-row-scale, AI-enabled data platforms. You'll lead threat modelling and design review with product teams, build the tooling and patterns that make secure codet, and find and fix the vulnerabilities that slip through. You'll do it with security-focused AI tooling, steered by your own expert judgement and intuition, to keep Genomics secure against state-of-the-art threats. • Leading threat modelling and design reviews for new products and infrastructure, and defining the security invariants every team builds against: tenant isolation, authentication and authorisation, secrets, least privilege, and trust boundaries, • Building the libraries, patterns, and CI/CD guardrails that make the secure way the easy way, and deciding what is enforced versus advised, • Building and tuning AI tooling for code analysis, triage, and remediation, and deciding where its output can be trusted and where it must be verified, • Hunting for vulnerabilities through code review, testing, and proof-of-concept exploits, then running the disclosure programme and driving every finding through to a verified fix, • Securing our agentic and AI surfaces, from prompt injection and tool boundaries to delegated credentials and tenant-scoped access, and proving the controls hold under adversarial testing, • Working as an embedded, trusted partner to product teams, SRE, detection and response, the data platform team, and the MystraAI / ML team, unblocking rather than gating, • Experience within application security in production. You've found and fixed exploitable bugs in software you were responsible for, through threat modelling, secure design, code review, and proof-of-concept exploitation across web services, APIs, and data-serving interfaces. Triaging scanner output doesn't count, • Production-quality software engineering in at least one mainstream language (such as Python, Go, or TypeScript), and you can read several. You've built and operated security or developer tooling in CI/DD pipelines, such as static and dependency analysis, secrets detection, or policy-as-code, and engineers actually adopted it, • Hands-on depth securing multi-tenant systems on a major cloud. We run on AWS (RDS, EC2, S3, EKS, Batch), and comparable GCP or Azure depth transfers. You know tenant isolation, IAM and least privilege, secrets management, Kubernetes and container security, and the trust boundaries between services, • Daily use of frontier AI models for code analysis, vulnerability triage, remediation drafting, and research, with sharp judgement about where they're reliable and where they mislead. You've built or tuned LLM-driven tooling rather than only used a chat interface, and you understand the attack surface it introduces, • Experience running, or being core to, a vulnerability disclosure or bug bounty programme and the remediation lifecycle behind it, covering severity, prioritisation, SLAs, root cause, and systemic fixes. You've also worked application-layer incidents alongside detection and response, using security telemetry and SIEM data as evidence, • Risk-led judgement. You know which designs need deep review, which findings matter and which are noise, and you make accepted risk explicit so leadership can decide with open eyes, • Clear communication. You explain risk and trade-offs precisely to engineers, product, and leadership, write guidance people actually use, and mentor others to grow security capability across teams We are committed to providing a transparent, supportive, and rewarding work environment. • Competitive Reward: Salaries are externally benchmarked annually to ensure market-aligned compensation., • Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal., • Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success., • Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end., • Financial & Health Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance., • Enhanced Leave: Enhanced paid family leave to support all new parents., • Hybrid Working, • Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you., • Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate., • Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs. We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them. #J-18808-Ljbffr

Stoneline and Palezzo are seeking a proactive, commercially minded Business Development Manager to drive new business opportunities across the UK construction, property development and interior design sectors. Stoneline specialises in premium natural stone, offering material supply, fabrication and installation for high-end residential, commercial and hospitality projects. Palezzo is our bespoke stone-composite surface brand, offering distinctive, customisable materials for architectural and interior applications. This is a new-business-focused role for an individual who thrives on building relationships, identifying opportunities and developing a strong commercial network. The successful candidate will take ownership of their business development activity, proactively identifying prospective clients, initiating conversations and creating opportunities that translate into measurable revenue. The role will focus on three core audiences: contractors, property developers and interior design practices, with a particular emphasis on expanding our relationships within the contractor and developer markets. • Proactively identify, research and approach new business opportunities across the UK construction, property development and interior design sectors., • Develop and maintain a structured pipeline of prospective clients, including main contractors, specialist contractors, property developers, interior design studios and architecture practices., • Conduct regular outbound prospecting, including cold calling, targeted email outreach, LinkedIn engagement and face-to-face introductions., • Identify upcoming projects where natural stone or Palezzo surfaces could be specified, supplied or installed., • Establish relationships with key decision-makers, including commercial directors, procurement managers, project directors, estimators, design managers and interior design principals., • Arrange introductory meetings and develop opportunities from initial contact through to qualified project leads and commercial enquiries., • Maintain accurate records of prospecting activity, meetings, follow-ups and opportunities within the company's CRM or agreed reporting system., • Build a strong network of contractor and developer contacts, prioritising organisations undertaking premium residential, commercial, hospitality and mixed-use projects., • Identify contractors and developers with relevant project pipelines and establish Stoneline and Palezzo as preferred supply-chain and material partners., • Arrange introductory meetings with commercial, procurement, pre-construction and project teams., • Understand how contractors and developers procure, tender and appoint material suppliers, fabricators and installation partners., • Identify opportunities to register Stoneline and Palezzo with relevant procurement teams and approved supplier lists., • Develop relationships that create repeat business and early visibility of forthcoming projects., • Monitor tender opportunities, project announcements and planning activity to identify potential leads before projects reach the procurement stage., • Develop relationships with interior designers, architects and other design professionals who influence material selection and specification., • Organise and deliver studio-based lunch-and-learn sessions, product presentations and material education meetings., • Present the technical, aesthetic and commercial benefits of Stoneline's natural stone offering and Palezzo's bespoke surface solutions., • Encourage designers to visit the Stoneline Experience Centre and Gallery at 132 Wigmore Street, London., • Identify opportunities for both brands to be incorporated into project specifications, material schedules and design proposals., • Build long-term relationships that generate referrals, specifications and future commercial enquiries., • Independently arrange and conduct supplier meetings, client introductions, presentations and networking appointments., • Prepare and deliver professional presentations tailored to the needs of contractors, developers, designers and other prospective clients., • Represent Stoneline and Palezzo at industry exhibitions, networking events, conferences, design festivals and relevant business functions., • Support the planning and delivery of marketing events, client networking sessions and showroom activities., • Work collaboratively with the marketing team to ensure events and outreach initiatives generate measurable business opportunities., • Follow up promptly after meetings and events to convert introductions into meaningful commercial relationships., • Take ownership of personal business development targets and maintain consistent prospecting activity., • Maintain an organised, up-to-date pipeline of leads, meetings, opportunities and anticipated project values., • Qualify opportunities based on project suitability, timing, decision-making authority, potential value and likelihood of conversion., • Provide regular reports on business development activity, pipeline growth, key relationships and expected revenue opportunities., • Work closely with the sales, estimating and project teams to progress qualified opportunities into enquiries, quotations and orders., • Analyse the effectiveness of prospecting activities and continuously refine the approach to maximise commercial results., • Proven business development or new-business sales experience within the construction, architectural materials, natural stone, interior finishes, building products or a closely related industry., • Demonstrable experience identifying and winning new business rather than relying primarily on an existing customer portfolio., • Strong commercial awareness and an understanding of how construction projects are procured and delivered., • Confidence in cold calling, initiating conversations with senior decision-makers and securing meetings with prospective clients., • Excellent presentation and communication skills, with the ability to deliver engaging presentations to both technical and design-led audiences., • Experience organising and delivering client meetings, product presentations, lunch-and-learn sessions or similar engagement activities., • A highly self-motivated, organised and proactive approach, with the discipline to manage a territory and workload independently., • Strong networking and relationship-building skills, supported by a persistent and commercially focused approach to follow-up., • The ability to identify opportunities, qualify leads and translate business development activity into a measurable sales pipeline., • A full UK driving licence and willingness to travel for client meetings and industry events. Stoneline UK & Palezzo | London Stoneline and Palezzo are seeking a proactive, commercially minded Business Development Manager to drive new business opportunities across the UK construction, property development and interior design sectors. Stoneline specialises in premium natural stone, offering material supply, fabrication and installation for high-end residential, commercial and hospitality projects. Palezzo is our bespoke stone-composite surface brand, offering distinctive, customisable materials for architectural and interior applications. This is a new-business-focused role for an individual who thrives on building relationships, identifying opportunities and developing a strong commercial network. The successful candidate will take ownership of their business development activity, proactively identifying prospective clients, initiating conversations and creating opportunities that translate into measurable revenue. The role will focus on three core audiences: contractors, property developers and interior design practices, with a particular emphasis on expanding our relationships within the contractor and developer markets. • Proactively identify, research and approach new business opportunities across the UK construction, property development and interior design sectors., • Develop and maintain a structured pipeline of prospective clients, including main contractors, specialist contractors, property developers, interior design studios and architecture practices., • Conduct regular outbound prospecting, including cold calling, targeted email outreach, LinkedIn engagement and face-to-face introductions., • Identify upcoming projects where natural stone or Palezzo surfaces could be specified, supplied or installed., • Establish relationships with key decision-makers, including commercial directors, procurement managers, project directors, estimators, design managers and interior design principals., • Arrange introductory meetings and develop opportunities from initial contact through to qualified project leads and commercial enquiries., • Maintain accurate records of prospecting activity, meetings, follow-ups and opportunities within the company's CRM or agreed reporting system., • Build a strong network of contractor and developer contacts, prioritising organisations undertaking premium residential, commercial, hospitality and mixed-use projects., • Identify contractors and developers with relevant project pipelines and establish Stoneline and Palezzo as preferred supply-chain and material partners., • Arrange introductory meetings with commercial, procurement, pre-construction and project teams., • Understand how contractors and developers procure, tender and appoint material suppliers, fabricators and installation partners., • Identify opportunities to register Stoneline and Palezzo with relevant procurement teams and approved supplier lists., • Develop relationships that create repeat business and early visibility of forthcoming projects., • Monitor tender opportunities, project announcements and planning activity to identify potential leads before projects reach the procurement stage., • Develop relationships with interior designers, architects and other design professionals who influence material selection and specification., • Organise and deliver studio-based lunch-and-learn sessions, product presentations and material education meetings., • Present the technical, aesthetic and commercial benefits of Stoneline's natural stone offering and Palezzo's bespoke surface solutions., • Encourage designers to visit the Stoneline Experience Centre and Gallery at 132 Wigmore Street, London., • Identify opportunities for both brands to be incorporated into project specifications, material schedules and design proposals., • Build long-term relationships that generate referrals, specifications and future commercial enquiries., • Independently arrange and conduct supplier meetings, client introductions, presentations and networking appointments., • Prepare and deliver professional presentations tailored to the needs of contractors, developers, designers and other prospective clients., • Represent Stoneline and Palezzo at industry exhibitions, networking events, conferences, design festivals and relevant business functions., • Support the planning and delivery of marketing events, client networking sessions and showroom activities., • Work collaboratively with the marketing team to ensure events and outreach initiatives generate measurable business opportunities., • Follow up promptly after meetings and events to convert introductions into meaningful commercial relationships., • Take ownership of personal business development targets and maintain consistent prospecting activity., • Maintain an organised, up-to-date pipeline of leads, meetings, opportunities and anticipated project values., • Qualify opportunities based on project suitability, timing, decision‑making authority, potential value and likelihood of conversion., • Provide regular reports on business development activity, pipeline growth, key relationships and expected revenue opportunities., • Work closely with the sales, estimating and project teams to progress qualified opportunities into enquiries, quotations and orders., • Analyse the effectiveness of prospecting activities and continuously refine the approach to maximise commercial results., • Proven business development or new‑business sales experience within the construction, architectural materials, natural stone, interior finishes #J-18808-Ljbffr

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. 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. We're building an AI-powered financial crime investigation platform that's transforming how Ebury's compliance teams work. Our AI agents will process thousands of screening cases, reducing analyst workload while maintaining regulatory standards. We're looking for a Senior Full-Stack Engineer to help us scale our platform and raise the engineering bar. You'll architect and deliver complex features across the entire stack - from React frontends to Python backends to LLM integrations - while mentoring teammates and shaping our technical direction. This is a unique opportunity to work at the intersection of AI/ML, fintech, and compliance - building production AI systems that handle real financial crime investigations at scale. • Architect and build end-to-end features across our React frontend and FastAPI backend, making sound technical decisions that balance speed with maintainability, • Design AI agent workflows using LangGraph for screening automation, RAG pipelines, and multi-agent orchestration, • Lead technical initiatives - own complex features from design to production, breaking down ambiguous problems into actionable work, • Integrate complex data sources (internal APIs, third-party services like LexisNexis, data warehouse) with robust error handling and observability, • Improve platform reliability - implement monitoring, alerting, and performance optimizations for production AI systems, • Mentor and uplift junior and mid-level engineers through code reviews, pairing, and technical guidance, • Shape engineering practices - contribute to architecture decisions, coding standards, and team processes, • Collaborate cross-functionally with Product, Design, Compliance, and other engineering teams to deliver impactful solutions, • React, TypeScript, Material-UI, • Module Federation (Micro-frontend architecture), • Vite, Vitest, • Python 3.13, FastAPI, • LangGraph (AI agent orchestration), • LlamaIndex (RAG/vector search), • AWS Bedrock, • AWS (ECS Fargate, Lambda, API Gateway, S3), • Terraform, GitHub Actions Must Have • 5+ years of professional software engineering experience, • Strong React + TypeScript skills - you can architect complex frontend applications with good state management, performance, and testing, • Strong Python backend experience - FastAPI, Django, or Flask with async programming, clean architecture, and production-grade code, • System design skills - you can design scalable, maintainable systems and articulate trade-offs clearly, • API design expertise - REST, WebSockets/SSE, and understanding of distributed systems patterns, • Database proficiency - SQL and NoSQL (DynamoDB, PostgreSQL, OpenSearch), including query optimization and data modeling, • Testing mindset - you write comprehensive tests and advocate for quality across the team, • Ownership mentality - you take features from idea to production, proactively identifying and solving problems, • Strong communication - you can explain complex technical concepts to engineers and non-engineers alike, and write clear documentation, • Mentorship ability - you enjoy helping others grow and have experience guiding less experienced engineers Nice to Have • LLM/AI experience - LangChain, LangGraph, RAG pipelines, prompt engineering, or fine-tuning, • Production AI systems - experience with LLM observability (Langfuse), token management, streaming, and reliability patterns, • AWS expertise - Lambda, ECS, DynamoDB, OpenSearch, Bedrock, or similar cloud services, • Streaming architectures - SSE, WebSockets, event-driven systems, • Fintech/compliance background - AML, sanctions screening, KYC, or regulated industry experience, • Micro-frontend experience - Module Federation, independent deployability, • Infrastructure as Code - Terraform, CDK, or similar We're looking for engineers who demonstrate: • Technical leadership - You don't just complete tasks; you identify the right problems to solve and influence technical direction, • Systems thinking - You consider the broader context: scalability, security, observability, and maintainability, • Proactive communication - You surface risks early, propose solutions, and keep stakeholders informed, • Quality advocacy - You raise the bar for testing, code review, and documentation across the team, • Pragmatic decision-making - You balance ideal solutions with delivery timelines, making conscious trade-offs, • Continuous learning - You stay current with industry trends and bring new ideas to the team Greenfield AI Product You’ll help shape a product from early stages, not maintain legacy code. Your architectural decisions will have lasting impact. Technical Leadership Drive technical direction for a growing team. Mentor engineers and establish patterns that scale. Work with the latest LLM technologies in production - LangGraph, RAG, multi-agent systems, and more. Our AI agents process thousands of compliance cases. You’ll see your work making a difference within weeks. Startup-within-Enterprise Small, autonomous team with startup speed, backed by enterprise resources and stability. Salary, equity, benefits, and flexible working. You’ll join a small, high-performing team within Ebury. We’re growing to 10+ people over the next year, so you’ll have a voice in shaping the team culture. Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars. We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story. Ebury only accepts applications via official Ebury channels. We will only contact you from an @ ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity. Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires. Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers. #J-18808-Ljbffr

Valarian Technologies is a dual-use technology company building critical tools to safeguard the future in an era of evolving global security challenges. We're rethinking security beyond traditional military domains, addressing asymmetric threats that impact our technological advantage, economic strength, and democratic institutions. We build Acra – the platform foundation for everything we do as a dual-use technology company. The platform’s name, rooted in the Greek word for citadel (or, fortress), reflects the design and purpose of our infrastructure-agnostic secure enclaves: protecting critical data. Some of the government and commercial workflows include: increased operational resiliency for mission‑critical systems and functions; enabling organizations to more quickly and widely adopt emerging technologies while ensuring the integrity of their intellectual property; information flow during disaster response scenarios, and zero‑trust / least‑privilege environments for M&A, attorney‑client privileged communications, etc. And we’ve only scratched the surface. At our core, we're driven by a shared mission and a belief in making a tangible impact on our world. Whether you join our London HQ or the wider global organisation, you’ll be a part of collaborative, high‑performing teams, creating cutting‑edge software, platforms, and infrastructure. As Head of Information Security at Valarian, you will define and lead our security strategy with a strong focus on protecting our digital ecosystem, spanning cloud infrastructure, SaaS platforms, and internal tooling. You’ll be responsible for securing how our organisation operates day‑to‑day: from identity and access across SaaS tools, to cloud architecture, to data protection across systems. This is a hands‑on leadership role combining strategy, architecture, and execution. You’ll work closely with Engineering, Product, Legal, and Leadership to embed security into everything we build, while evolving our compliance posture across ISO‑27001 and SOC‑2 (including expansion into additional controls). • Own and execute Valarian’s end‑to‑end information security strategy, • Lead and mature our security posture across compliance frameworks, including ISO‑27001, SOC 2, and expansion into additional control frameworks, • Design and implement scalable security architecture across cloud, infrastructure, and applications, • Partner with Engineering to embed secure‑by‑design principles into development workflows, • Build, manage, and continuously improve security policies, standards, and controls, • Lead risk management, threat modeling, and vulnerability management processes, • Oversee incident detection, response, and recovery planning, • Drive security awareness and training across the company, • Establish and manage identity and access management (IAM), SSO, and device security across the organisation, • Manage audits, certifications, and relationships with external assessors, • Establish metrics and reporting to provide visibility into security posture and risk, • Hire, develop, and lead a high‑performing security team as the company grows, • Proven experience leading information security in a cloud‑first, SaaS‑heavy environment, • Deep expertise in securing cloud infrastructure and modern workplace tooling, • Strong hands‑on experience with identity and access management, SSO, and zero‑trust approaches, • Experience managing and securing a broad ecosystem, including vendor risk and access governance, • Practical experience with SOC 2 and ISO‑27001, • Strong understanding of cloud security principles (networking, IAM, secrets management, logging, monitoring), • Experience implementing security tooling such as SIEM, EDR, and CSPM security platforms, • Track record of building scalable, pragmatic security programs in high‑growth environments, • Ability to balance strong security practices with usability and business velocity, • Excellent stakeholder management and communication skills across teams, • Experience building or scaling security teams (or readiness to do so), • A focus on real‑world risk reduction over checkbox compliance Our benefits are designed to ensure our employees feel taken care of and are proud to be a part of the Valarian team. We are committed to consistently enhancing our benefit package, taking into account the overall well‑being and needs of our teammates. Here are the key benefits accessible to all employees at Valarian Technologies: • Equity – because you have the right to own what you’re building, • A competitive salary – because we value your unique skills, • Employer pension contributions – because you deserve a secure future, • Hybrid work setup – because everyone has different needs, • Rewarding company retreats and meetups that respect your work/life balance – because we love getting to know each other! Our culture is built on inclusivity, compassion and flexibility – we want everyone to be empowered to achieve their goals at Valarian. The world is changing, and so is our way of working. If you want to join us in the London office – it’s quite nice! – you’re welcome to; and if you’d prefer to work remotely, that’s fine too. And as we build elegant solutions to simplify the complexities of business collaboration, we also simplify work life: contribute wherever and whenever allows you to be your best self. We trust each other to consistently raise the bar, and we challenge each other to continually reach new heights. Valarian Technologies Limited is an equal opportunity employer and welcomes applications from individuals regardless of race, colour, religion, sex, sexual orientation, gender, identity or expression, national origin, age, disability, genetic information, marital status, veteran, amnesty, or any other legally protected characteristic. We are committed to ensuring a fair and inclusive recruitment process and providing employment opportunities to all applicants. Decision recruitment, hiring, and employment are based solely on qualifications, skills, and experience relevant to the job requirements. #J-18808-Ljbffr

Liberty Global is a world leader in converged broadband, video and mobile communications services. We deliver next-generation products through advanced fibre and 5G networks that connect 85 million subscribers across Europe and the United Kingdom. Our businesses operate under some of the best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, Sunrise UPC in Switzerland, Virgin Media in Ireland and UPC in Eastern Europe. Our consolidated businesses generate annual revenue of more than $7 billion, while our joint ventures in the U.K. and the Netherlands generate combined annual revenue of more than $17 billion. Liberty Global Ventures, our global investment arm, has a portfolio of more than 50 companies across content, technology and infrastructure, including strategic stakes in companies like Plume, ITV, Lions Gate, Univision, the Formula E racing series and several regional sports networks. Design, build and evolve the AI-first telecom platforms that serve millions of Liberty Global customers across multiple countries. As a Full Stack Engineer, you will be one of the most technically skilled hands on the platform – writing production code, shaping architectural decisions, and ensuring the systems we build are scalable, secure and genuinely ready for the demands of enterprise-scale telecoms. You will work closely with the VP Software Engineering and the wider platform team to translate architectural direction into working software, challenge technical assumptions with depth and evidence, and play a significant role in raising the engineering bar across the organisation. • Design and own critical platform components, contributing to the overall architecture and ensuring consistency with the reference architecture set by the VP Software Engineering., • Evaluate and propose solutions to complex technical challenges, balancing performance, scalability, security and maintainability., • Lead architecture reviews and technical design sessions for key platform features, bringing depth and rigour to the process., • Define integration patterns and data flows across platform services, ensuring components work together reliably at scale., • Write production-quality code across the full stack – from backend services and APIs through to front-end interfaces and infrastructure as code., • Deliver features and platform capabilities end to end, from design through build, test and deployment into production., • Contribute to production readiness: documentation, runbooks, monitoring and observability – ensuring nothing ships until it’s genuinely ready., • Maintain and improve existing platform components, addressing technical debt and performance issues with clear prioritisation., • Champion engineering best practices across the team: code quality, testing, CI/CD, security, and observability., • Conduct thorough code and architecture reviews, providing constructive, evidence-based feedback that raises the standard., • Contribute to and help maintain the engineering standards and guardrails established at VP level, making them practical and usable day to day., • Work alongside build partners on platform delivery, providing technical direction and reviewing their designs and code to the same standard as internal work., • Identify and flag risks or gaps in partner delivery early, feeding back to the VP Software Engineering with clear, actionable recommendations., • Collaborate closely with AI/ML, DevOps, Infrastructure and Product teams to deliver integrated platform capabilities., • Share technical knowledge across the engineering organisation – through documentation, internal talks, or hands‑on pairing – building capability and reducing single points of failure., • Key platform components designed, built and running in production with strong stability, performance and security outcomes., • Architecture decisions made with clear technical rationale, consistently documented and applied across the platform., • Code and design reviews that visibly raise the quality bar – the team builds better because of your involvement., • Build partner output reviewed and challenged effectively, with early identification of risks and clear escalation when needed., • Engineering standards embedded in day‑to‑day practice, not just documented on a page., • Exp of hands‑on full stack engineering experience, delivering complex platforms in enterprise environments., • Strong proficiency across the full stack – backend (Python, Java or equivalent), frontend frameworks, APIs, databases and infrastructure as code., • Depth in distributed systems design: you understand how to build services that scale, fail gracefully and recover quickly., • Experience working with cloud‑native infrastructure (AWS, GCP or Azure) and container orchestration (Kubernetes or equivalent)., • Proven ability to translate complex architectural requirements into clear, deliverable engineering plans., • Strong experience in code and architecture review – giving and receiving feedback that improves the work., • Comfortable working in fast‑paced delivery environments with clear prioritisation and a bias for shipping., • Experience collaborating with or reviewing the output of SI / vendor build partners., • Experience building or contributing to AI/ML platforms – particularly integrating LLMs, speech, or multimodal models into production systems., • Familiarity with data pipelines, data quality processes and the infrastructure that supports AI/ML at scale., • Experience with DevOps, CI/CD pipelines and observability tooling., • Exposure to telecom or large‑scale consumer‑facing platforms., • Consistently makes sound technical decisions, balancing short‑term delivery with long‑term platform health., • Goes deep into complex problems – doesn’t stop at the surface, finds the right answer and explains why., • Holds themselves and others to a high bar on code quality, security and production readiness., • Makes engineering standards better by making them practical – not just written, but followed., • Works effectively across teams – engineering, product, build partners – and communicates technical decisions clearly., • Shares knowledge generously: documentation, pairing, review – builds the team up, doesn’t hoard expertise., • Balances doing things right with doing things fast – pragmatic about trade‑offs, clear about where corners cannot be cut., • Owns their delivery end to end and takes pride in shipping things that work, not just things that are finished. If your application is successful, your personal data may be used for a pre‑employment screening check, which will be performed by a 3rd party provider (Sterling), on behalf of Liberty Global. Depending on the vacancy and applicable law, a pre‑employment screening may include employment history, qualifications, contract information, right to work, and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position. You can read more about how we process your data here: Privacy & Security Policy – Liberty Global. If you wish to exercise your privacy rights please contact: Liberty Global is an equal opportunity employer. If you are curious and resilient with a limitless mindset, we’re eager to hear from you, no matter your background. #J-18808-Ljbffr

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Prime team's mission is to build Bitstamp's prime brokerage for institutional clients — the platform that lets hedge funds, market makers, and professional trading firms onboard, fund, trade, borrow against, and settle positions at scale. We build the systems that move real institutional money: cross-venue settlement, credit against collateral, matched-book lending, and the bridge that brings tokenized securities to our order book — together with the client- and ops-facing surfaces that make them usable, from institutional onboarding and account configuration to reporting and the backoffice tooling our operations run on every day. These are correctness-critical systems where a wrong answer can't be cheaply undone — getting them right is the whole job. As a Senior Full-Stack Software Engineer, you will own the design and end-to-end delivery of features across that whole surface — from the Prime backend services down to the frontend and backoffice screens that expose them. You'll lead other engineers through problems of high ambiguity, set the technical bar for how we build for failure and not just the happy path, and follow a problem across the full institutional lifecycle rather than stopping at a boundary. Flexibility is the job: some weeks that's a settlement edge case in the backend, others a client onboarding flow or an ops dashboard, and you're happy owning whichever the work needs. This role is based in our London office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. Requires participation in an on-call rotation to support business needs. Lead the design and end-to-end delivery of features across the stack — from Prime backend services (settlement, on-exchange credit, lending, tokenized securities) through to the frontend and backoffice screens clients and ops teams rely on. Own the client- and ops-facing journeys across the institutional lifecycle — onboarding, account configuration, reporting, and the tooling that lets operations run the business safely. Author detailed designs and break work into reviewable steps, making failure states, invariants, and recovery explicit before you ship — on flows where a wrong answer moves real money. Uplevel the team through design-focused code review and mentorship, and move fluidly between backend and frontend as the work demands rather than handing off at a boundary. A track record of independently delivering complex, high-ambiguity projects with long-term impact, operating them in production and owning every line you ship. Strong full-stack range in production — a modern backend (we work primarily in Python/Django and Go) and a component-based frontend (we use Vue) — with the judgment to know where a given problem is best solved and a genuine willingness to own whatever the feature needs, wherever it lives in the stack. Hands-on experience building financial systems — user balances, ledgers, risk engines, settlement, onboarding/KYC, or payments — where correctness is non-negotiable and mistakes are expensive. Strong design judgment: you enumerate the failure paths, name your invariants, and can point at the constraint, test, or alert that enforces each one. Excellent communication: you drive alignment across teams and stakeholders, give substantive design-level review feedback, and mentor engineers to raise the bar around you. Challenging, high-impact work to grow your career and shape the future of global institutional finance Performance-driven compensation with multipliers for outsized impact, bonus programs, and equity ownership Top-tier health benefits to fuel your work, including 100% employer-paid private medical insurance for you and comprehensive coverage for dependents, alongside mental health and wellbeing support programs Aviva Pension Scheme with highly competitive company matching to secure your future Lifestyle Wallet: A highly flexible employer-paid benefits spending account to offset expenses like wellness, learning, childcare, and more Access to the best AI tools on the market with continuous AI skill-building opportunities for all employees Time to recharge: Generous paid time off, company holidays, sick time, parental leave, and paid volunteer time off Exceptional office experience: Catered meals, fully stocked snacks, team social events, and modern workspaces in our London location AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review thePrivacy Policy for your country of application. #J-18808-Ljbffr

London, UK As a Software Engineer on the AI Infrastructure team, you'll help build and evolve our agent sandboxing platform — the secure, high-performance code execution layer powering our agentic workflows, deployed across both internal and customer-managed environments. This is a role for someone who cares as much about the experience of the engineers and researchers using this system as they do about the kernel internals underneath it. You'll combine deep systems expertise (isolation, virtualisation, performance) with an obsession for developer experience: clean APIs, clear error messages, good docs, and a client library that feels well-crafted. You'll partner closely with internal teams to understand how they use the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture. • Design and build the sandboxing platform, client library, and API surface for secure code execution across containerized and virtualized environments, • Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads, • Optimise for cold-start latency, memory footprint, and resource utilisation at scale, • Drive down error rates through systematic debugging, monitoring, and proactive fixes, • Partner closely with internal teams using the platform to understand their needs, debug issues, and build tooling that serves their use cases, • Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixesHelp develop and maintain a product roadmap for sandboxing, balancing immediate needs against long-term architectural investment, • Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings, • 4+ years of experience building high-performance systems software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs, • Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc., • Experience with containerisation and virtualisation technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers), • Proficiency in a systems programming language such as Go, Rust, or C/C++, • A track record of obsessing over developer experience — API design, error propagation, documentation, and the small details that make a library feel well-crafted, • Comfort working across infrastructure layers, from kernel modules to orchestration frameworks (e.g., Kubernetes), • Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems, • Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development, • Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end, • Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP), • Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks), • Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots, overlays), • Open-source contributions to systems or developer-tools projects, • History of on-call/incident response for production systems PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. Own the models and pipelines that turn weather and satellite data into the risk and market signals Treefera's customers rely on. You will take questions such as where agricultural stress is building this season and how confident we can be about it, and build data pipelines that move from ingestion, through modelling and evaluation, to delivery to a customer. You take a problem end to end: an ambiguous question becomes a validated model and then a pipeline that runs repeatedly. You have built deep learning and statistical models for time series or spatial data, with real projects you can walk through in detail, including the parts that did not work. You can explain and defend every decision in the code you ship, whatever tooling helped you write it. We are enthusiastic about AI-assisted development and equally firm that you own and understand the result. You are fluent in the Python scientific stack (PyTorch, scikit-learn, scipy, xarray) and in the practices that make work reproducible: version control, experiment tracking, orchestration, cloud infrastructure. You interrogate data before you model it, you state your assumptions, and you are straightforward about uncertainty when you present a result to people who will act on it. Desirable requirements (if applicable): Experience with weather and climate data: reanalysis products, numerical weather forecasts, weather station records, or forecast verification. Experience with remote sensing datasets. Exposure to risk modelling, financial time series, commodity markets, backtesting systematic strategies, and an interest in how a model generates a tradable signal. Build and ship forecasting models for environmental and risk signals, from agricultural stress indicators to weather and climate volatility, and take responsibility for how they perform once they are live. Extend our weather platform by adding new forecast products and capabilities to an established staged pipeline that runs ingestion, standardisation, spatial aggregation, climatology, indices and stress scoring. Work with satellite data across optical and radar missions to build vegetation stress signals, landcover classifications and land-surface conditions. Take research from prototype to production: build the infrastructure it runs on, design how it fails and how you'll know, and turn one-off work into orchestrated, reproducible data deliveries our clients rely on. Shape how the AI team models by improving experiment design, evaluation protocols, documentation and the treatment of uncertainty, and by communicating methods and their limits clearly to technical and commercial colleagues. In your first 30 days you will have the weather and earth observation pipelines running locally, interrogated the system that produces our current signals, and formed your own view on where our pipelines are weakest. By 60 days you will have delivered your first improvement: a new index, a better evaluation, or a forecast product added. By 90 days that work is running in production and someone outside the AI team is relying on its output. By six months you own a signal domain end to end, you are the person Product asks when a number looks wrong, and you can say how confident we should be in it. Within a year you will have shipped a materially better forecasting capability than the one you inherited, with the evaluation evidence to prove it. You will report to Tommy Lees and work inside the AI pod, partnering closely with the Science team on methods, with Engineering on the platform your models run on, and with Product and Market Intelligence on what the signals need to answer for customers. Recruiter screen (30–45 min) Hiring manager interview (45-60 min) Team & skills session (45-60 min) Product interview (30 min) Final cross-functional or executive conversation (If applicable). (30-45 min) Accessibility: Tell us if you need adjustments, we’ll accommodate. Right to work: You'll typically need the right to work in the UK, as we aren't generally able to sponsor visas. If your situation is different, tell us and we'll talk it through. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera blog for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our Privacy Notice. #J-18808-Ljbffr

AI and data centres are booming, electrification is accelerating, and trillions in generation, storage, and connection projects are queued - but the real bottleneck is the grid. Grid planning and operations are becoming a national-scale systems problem: complex network models, messy legacy data, strict governance, overloaded teams, and high-stakes decisions that affect real infrastructure. Squid is building the agentic modelling platform for power grids: a versioned, auditable source of truth where network models, data, changes, assumptions, and decisions can be tracked - and where humans and AI agents can safely work together. We unify legacy planning models, operational data, and grid workflows into software that helps teams run checks, compare models, explain changes, validate assumptions, and move faster without losing engineering rigour. Based in London, Squid is backed by premier investors like Y Combinator and partners with industry leaders including National Grid and Northern Powergrid. £75k-£200k (salary + equity), based in London, UK. We are hiring a Software Engineer to join Squid as one of our first engineers. You will work closely with the founders and early engineering team to build production software for grid operators. This is a broad software engineering role spanning backend systems, frontend products, data-intensive applications, cloud infrastructure and applied AI. You will help turn complex engineering workflows into reliable, intuitive software used by planners, operators and engineers. This is a high-ownership role based in our central London office, with the opportunity to shape the product, technical architecture and engineering culture from an early stage. • Build and ship production software across backend services, frontend applications and cloud infrastructure., • Design APIs, data models and product interfaces for complex, data-heavy workflows., • Develop tools for loading, validating, comparing, visualising and explaining technical datasets., • Build reliable systems for versioning, collaboration, approvals and auditability., • Integrate AI models and agents into practical, human-in-the-loop product workflows., • Create benchmarks and evaluation tools for testing AI systems on real customer tasks., • Improve system performance, reliability, security and developer experience., • Work directly with customers to understand problems, test solutions and improve the product., • Use modern AI development tools to prototype, test and ship software quickly. You do not need to meet every requirement. We are looking for strong, product-minded software engineers who are comfortable working across a broad technical surface area. You may be a strong fit if you have: • Professional software engineering experience building and maintaining production systems., • Experience with Python, TypeScript, React, Postgres, APIs, cloud infrastructure or data pipelines., • Experience with Columnar storage, Relational DB's, Object stores., • Experience working across multiple parts of a software stack rather than within one narrow specialism., • Strong product judgement and the ability to turn unclear, real-world problems into practical software., • Experience designing reliable systems for complex or data-intensive workflows., • An interest in applied AI, model evaluation, agent systems and AI-assisted software development., • The ability to communicate clearly and work directly with technical customers., • High ownership, curiosity and a willingness to learn quickly. Experience with developer tools, data visualisation, geospatial products, collaborative software, workflow engines, technical computing or regulated industries would be valuable, but is not required. Share this Job: #J-18808-Ljbffr

Valarian Technologies is a dual-use technology company building critical tools to safeguard the future in an era of evolving global security challenges. We're rethinking security beyond traditional military domains, addressing asymmetric threats that impact our technological advantage, economic strength, and democratic institutions. We build Acra – the platform foundation for everything we do as a dual-use technology company. The platform’s name, rooted in the Greek word for citadel (or, fortress), reflects the design and purpose of our infrastructure-agnostic secure enclaves: protecting critical data. Some of the government and commercial workflows include: increased operational resiliency for mission-critical systems and functions; enabling organisations to more quickly and widely adopt emerging technologies while ensuring the integrity of their intellectual property; information flow during disaster response scenarios, and zero-trust / least-privilege environments for M&A, attorney-client privileged communications, etc. And we’ve only scratched the surface. At our core, we're driven by a shared mission and a belief in making a tangible impact on our world. Whether you join our London HQ or the wider global organisation, you’ll be a part of collaborative, high-performing teams, creating cutting-edge software, platforms, and infrastructure. We are looking for a Senior Infrastructure Engineer to own and evolve the foundational infrastructure layer behind ACRA. This is a deep infrastructure role. You will work across Kubernetes, Linux, networking, storage, service-to-service communication, observability, security boundaries, and production operations. You will be responsible for the systems that everything else depends on: clusters, networks, storage layers, ingress and egress paths, runtime infrastructure, deployment foundations, and operational reliability. Infrastructure is part of the product at Valarian. ACRA only works if the underlying infrastructure is secure, observable, debuggable, resilient, and able to run across cloud, on-premise, bare-metal, sovereign, air-gapped, and customer-managed environments. We are looking for someone with strong judgement and real production experience. This role values depth, operational correctness, and careful decision-making. You should be comfortable going deep into complex operational problems, understanding failure modes, debugging under pressure, and improving the reliability of the whole platform. You should be comfortable operating close to the metal: debugging Kubernetes, understanding networking behaviour, reasoning about distributed storage, improving observability, and helping define the infrastructure patterns that ACRA will rely on as it scales. This is not a generic DevOps support role, cloud administration role, or internal IT role. You will be a critical engineer in the team responsible for the infrastructure foundations of a high-trust platform. • Design, build, operate, and improve Kubernetes-based infrastructure for ACRA., • Own core infrastructure plumbing across networking, storage, workload scheduling, service communication, ingress, egress, DNS, certificates, and cluster-level security., • Operate and debug production Kubernetes environments across GCP, on-premise, bare-metal, sovereign cloud, air-gapped, and customer-managed deployments., • Work on multi-cluster Kubernetes environments, cluster networking, network policy, service mesh, and secure service-to-service communication., • Operate and evolve distributed storage systems, including storage classes, CSI drivers, capacity planning, replication, recovery, and failure handling., • Work with infrastructure technologies such as Kubernetes, Linux, Cilium, eBPF, Istio, Rook Ceph, Terraform, Argo CD, GitOps, Helm, and related CNCF tooling., • Build infrastructure automation that improves repeatability, reliability, and operational safety., • Improve observability across infrastructure layers, including metrics, logs, traces, alerting, dashboards, and operational runbooks., • Investigate and resolve complex production issues across networking, storage, Kubernetes, Linux, and application infrastructure., • Contribute to incident response, root-cause analysis, capacity planning, disaster recovery, and production readiness., • Define infrastructure standards, operational boundaries, security controls, and deployment patterns across the platform., • Work closely with engineering teams to make services easier to deploy, operate, monitor, and debug., • Contribute to the long-term technical direction of the DevOps department and the infrastructure foundations of ACRA., • Strong experience in infrastructure engineering, platform engineering, DevOps, SRE, or production systems engineering., • Deep hands-on experience operating Kubernetes in production., • Strong understanding of Linux systems, containers, networking, storage, and distributed infrastructure., • Strong networking fundamentals, including TCP/IP, DNS, TLS, routing, load balancing, ingress, egress, network policy, and service discovery., • Experience debugging difficult infrastructure issues across clusters, nodes, pods, networks, storage, and workloads., • Experience with Kubernetes networking, CNI, service mesh, network policy, or secure service-to-service communication., • Experience or strong working knowledge in at least one deep infrastructure area such as Kubernetes networking, distributed storage, Linux systems, bare-metal infrastructure, multi-cluster operations, or production incident response., • Experience with infrastructure as code and GitOps workflows, especially Terraform, Argo CD, Helm, Kustomize, or similar tooling., • Experience building reliable infrastructure for production environments where uptime, security, and operational clarity matter., • Comfortable working across cloud, on-premise, bare-metal, restricted, or customer-managed environments., • Strong operational judgement, especially around reliability, resilience, failure domains, and production risk., • Strong ownership mindset. You can take responsibility for critical systems and improve them over time., • Clear communication skills. You can explain complex infrastructure problems to engineering and leadership without adding noise., • Comfortable working in a startup environment with ambiguity, changing priorities, and broad technical responsibility., • Experience with distributed storage systems, especially Rook Ceph or Ceph., • Experience with Cilium, eBPF, cluster mesh, Istio, Envoy, or similar networking and service mesh technologies., • Experience with multi-cluster Kubernetes environments., • Experience operating Kubernetes or OpenShift outside simple managed-cloud environments, including bare-metal, VMware, sovereign, air-gapped, regulated, or customer-managed deployments., • Experience operating infrastructure in secure, regulated, sovereign, air-gapped, defence, government, fintech, healthcare, critical infrastructure, or customer-managed environments., • Experience with zero-trust architecture, workload isolation, identity-aware networking, policy enforcement, or runtime security., • Experience with secrets management tools such as Vault, OpenBao, SOPS, Sealed Secrets, External Secrets, or cloud-native secret managers., • Experience with observability stacks such as Prometheus, Grafana, Loki, OpenTelemetry, Jaeger, ELK, Dynatrace, or similar tooling., • Experience with supply-chain security, including image signing, vulnerability scanning, SBOMs, artefact verification, admission control, or policy-as-code., • Experience designing infrastructure where auditability, traceability, recoverability, and operational evidence are first-class requirements. Our benefits are designed to ensure our employees feel taken care of and are proud to be a part of the Valarian team. We are committed to consistently enhancing our benefit package, taking into account the overall well-being and needs of our teammates. Here are the key benefits accessible to all employees at Valarian Technologies: • Equity – because you have the right to own what you’re building, • A competitive salary – because we value your unique skills, • Employer pension contributions – because you deserve a secure future, • Private health insurance - because your health is important to us, • Hybrid work setup – because everyone has different needs, • Rewarding company retreats and meetups that respect your work/life balance – because we love getting to know each other! Our culture is built on inclusivity, compassion and flexibility – we want everyone to be empowered to achieve their goals at Valarian. The work we do is vital, but so are the connections that make it happen. We thrive on the shared energy, spontaneous conversations, and mutual trust built when we spend time together. We operate on a hybrid model, gathering in our London office 3 days a week to support one another and collaborate. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Valarian Technologies Limited is an equal opportunity employer and welcomes applications from individuals regardless of race, colour, religion, sex, sexual orientation, gender, identity or expression, national origin, age, disability, genetic information, marital status, veteran, amnesty, or any other legally protected characteristic. We are committed to ensuring a fair and inclusive recruitment process and providing employment opportunities to all applicants. Decision recruitment, hiring, and employment are based solely on qualifications, skills, and experience relevant to the job requirements. #J-18808-Ljbffr

About LendableLendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: • One of the UK’s most exciting unicorns with a team of over 800 people, • Among the fastest-growing tech companies in the UK, • Profitable since 2017, • Backed by top investors including Balderton Capital and Goldman Sachs, • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Take ownership: you are trusted to make decisions that drive a material impact on the direction and success of the company from day 1 • Work in small teams of exceptional people: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions, • Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting We're hiring two Senior Quality Engineers to set up a Quality Engineering department at the company alongside a new Head of Quality. At the company we already have a number of profitable, award winning credit products. They have a good automated quality story. However, as our customer base has grown into the millions we need to keep evolving to keep the quality bar high. Advances in AI engineering also have enabled us to ship faster, but we need to ensure we are not regressing on our quality metrics. This is an automation-first role. You'll spend most of your time writing code - AI Agents, test frameworks, CI tooling, helpers. You won't be executing tests by hand. You'll work cross-functionally with software engineers, product and design. Quality is a team-level responsibility and your job is to work with teams to enable them to improve their quality processes by hands-on collaboration. You'll also be working at the frontier of AI-assisted quality, using LLMs and AI tooling to speed up test authoring, triage failures, and surface coverage gaps, while applying the engineering judgement to keep tests trustworthy. Enable teams to keep the quality bar high • Define and evolve the pragmatic test pyramid for our products - deciding where E2E is worth the weight and where testing belongs in faster layers (unit and component tests), • Make deliberate calls about coverage, reliability, and speed trade-offs across our products, • Devise and set up performance benchmarks to ensure critical parts of our systems don't regress Speed up our SDLC by building agents that exploratory test changes and catch issues before they get to production • Use AI tools day-to-day to accelerate test authoring, cluster failures, surface coverage insights, and propose fixes, • Decide where AI adds leverage and where a human eye is needed. A test suite that looks comprehensive but isn't trustworthy is worse than a smaller one we rely on Discover gaps in testing and help teams build comprehensive suites • Get test environments and data fixtures to a level where they are easy to use and reliable, • Drive flakiness down and time-to-diagnosis down. We treat a flaky test the same way we treat a broken test, and we expect root-cause work rather than retry-until-green Partner with product and engineering on shift-left quality: join specs early, push back on ambiguous acceptance criteria, and surface risk before code is written • Close the loop on production issues using our observability stack (Datadog, Sentry, Grafana) - tying test coverage back to real customer impact, • Ensure teams have Service Level Objectives set up and are achieving them, • Run targeted exploratory testing on high-risk releases when it's the right call Essential: 5+ years in quality engineering or test automation, with a track record of keeping automated suites stable rather than letting them rot into a graveyard of quarantined tests • Experience working in a scaled engineering environment with multiple teams pulling in different directions and priorities, and know how to navigate that to drive quality improvements across them, • Hands-on coding experience of writing test code, frameworks, CI pipelines and other helper scripts. You know what a good test codebase looks like and you constantly improve it, • API and contract testing experience, with a point of view on test data and environment strategy, • Have set up and used Service Level Objectives to define a contract of system reliability with stakeholders, and driven measurable improvements against them, • Native AI-assisted working style. You can describe projects where AI meaningfully changed how you worked - test authoring, failure triage, coverage analysis - and where you decided it wasn't the right tool, • Coaching other disciplines in quality. You evangelise quality practices and get others on board to solve quality problems together, • Experience shaping CI/CD pipelines for test reliability (GitHub Actions or similar), including flakiness reduction, parallelisation, artefact management, and runtime control, • Proactive, low-ego, and clear communicator, able to chase things down when blocked, • Able to operate independently and drive improvements end-to-end (frameworks, CI, test data, reporting), • Can point to 3-4 projects where you moved the needle on quality - for example improving SLO coverage or reducing incident rate - and can speak to the measurable impact of each Have worked with an incident management process to root cause issues with engineers and devise meaningful quality improvements as a result • Experience in PHP, Kotlin or Typescript, • Experience in financial services (retail or institutional) or other regulated environments Frontend: TypeScript, React, React Native Backend: PHP (Symfony), Kotlin, AWS, Postgres, RabbitMQ, Docker, Kubernetes Testing: PHPUnit, Behat, JUnit, Kotest, Jest, Maestro, K6 Tooling and observability: GitHub, GitHub Actions, Jira, Confluence, Datadog, Sentry, Grafana See your work matter: Our products are used by millions of customers - the quality bar you help set has a direct line to customer trust and company revenue • High impact: You'll decide where and how to engage across teams to move quality forward, working hands-on rather than through process layers, • Work at the frontier of AI: AI tooling for quality is moving fast. You'll be one of the people deciding how we apply it - what's useful, what isn't, and where to keep humans in the loop, • An organisation that ships: No layers, no theatre, fast decisions Quick call with a Recruiter • 15 minute cognitive test, • Hiring manager interview (30 minutes), • Technical interview (60 minutes), • Culture interview (60 minutes) Winning team: the opportunity to scale up one of the world’s most successful fintech companies • Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites, • Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls, • Health coverage: support for your physical and mental wellbeing, including private health cover, • Retirement & savings: long-term financial wellbeing through retirement savings plans, • Employee referral programme: earn a competitive bonus when you refer successful new team members, • Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations, • Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. 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Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. United Kingdom Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. We're looking for a Data Engineer III to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack — Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks — helping move data reliably and securely from source to decision-ready output. You'll implement features and fixes against a given design, handle known classes of pipeline issues on your own, and elevate genuinely novel problems with clear context rather than working them in isolation. You're also expected to start contributing meaningfully in code review — catching real bugs, not just style nits. • Implement new ingestion sources end-to-end against a senior engineer's design — connector code, DAG, schema, monitoring, and catalog registration — extending the team's existing framework where a new source needs a pattern it doesn't yet support, • Investigate pipeline failures independently, recognize known classes of issues, and ship the documented fix without needing to elevate, • Before shipping a new pipeline, identify downstream consumers and what would break if data were late or wrong, and flag gaps like this during spec review — before writing code, • Write clear handovers when elevating a genuinely unresolved issue — what you tried, what you ruled out, and where things diverge — so a senior can pick up without re-discovery, • Review peers' pipeline PRs and catch non-obvious issues (e.g., missing idempotency checks, race conditions) that could cause incorrect downstream data, • Turn ambiguous "why is this data wrong?" questions into structured investigations — tracing data lineage from source to warehouse and communicating back what you found, • Surface concerns in spec review as specific, well-reasoned questions rather than staying silent or blocking progress, • Support data security and governance work (e.g., PII masking, access controls) and contribute to data delivery work, including reverse ETL integrations, • Build strong working relationships with internal stakeholders and help scope and clarify requirements for new work, • Mentor DE2s on their first significant projects — pairing on tricky decisions and helping them apply team conventions, • 3–5 years of professional software or data engineering experience, • Strong SQL and Python skills, with solid experience building and operating production data pipelines, • Comfort investigating and root-causing pipeline issues independently before elevating, • Experience with workflow orchestration tools (Airflow or similar) and a cloud data warehouse/lakehouse (Snowflake, Databricks, or similar), • Solid understanding of data pipeline concepts: idempotency, schema evolution, backfills, and data quality/testing, • Experience giving substantive code review feedback, not just style or formatting comments, • Strong communication skills — can write a clear technical handover, ask sharp questions in spec review, and explain a data lineage investigation to a non-technical stakeholder, • A track record of taking ownership of known-class problems end-to-end rather than needing step-by-step direction, • Experience extending or building reusable pipeline frameworks/templates, • Exposure to reverse ETL tools or patterns, PII masking, or data access governance (RBAC), • Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting, • Some experience mentoring or informally supporting more junior engineers, • Background in gaming, betting, e-commerce, or another regulated/high-compliance industry, • Real ownership over known-class problems, with senior/staff support available for the genuinely novel ones, • Work on high-visibility, high-trust systems that the business depends on, • A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity, • Clear growth path into Senior Data Engineer, with room to start mentoring and shaping team practices along the way By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. 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We’re hiring a Product Minded Software Engineer for the Growth team: a cross‑functional team of engineers, Product Owner, designer and business owners focused on Journey 1 - from onboarding through to a customer’s first arrears point. Growth owns the customer and commercial journey end to end, plus the single‑writer services behind it. We’re hiring a Product Minded Software Engineer for the Growth team: a cross‑functional team of engineers, Product Owner, designer and business owners focused on Journey 1 - from onboarding through to a customer’s first arrears point. Growth owns the customer and commercial journey end to end, plus the single‑writer services behind it. You’ll work close to the product and the business, not just the codebase. That means shaping problems, building the solution, measuring whether it moved the metric, and owning the feature in production. The team’s north star is growing the amount of good balances, with drivers including onboarding funnel conversion, utilisation, app reliability and onboarding fraud / ID‑failure rates. This is a hands‑on product engineering role. You’ll build customer‑facing journeys across app, web and backend services, improve onboarding and engagement, and help the team make better product decisions through technical options, fast delivery and strong operational ownership. • Backend: Node.js / TypeScript on AWS — serverless services using Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge and Kinesis, alongside containerised workloads where needed, • Frontend: React Native / Expo / React / Next.js, • Infrastructure: Terraform, GitHub Actions CI/CD, Docker, • Observability: Datadog, Grafana, Prometheus, Loki, • Work as a product engineer in Growth: understand the customer problem, shape the technical approach with Product and Design, and ship changes that improve Journey 1 outcomes, • Build and improve onboarding, acquisition funnel conversion, login, account management, card management, personal details and other customer‑facing Growth features, • Own features in production: monitor health, respond to issues, maintain runbooks, and make sure we know about degraded journeys before the business or customers tell us, • Take first‑pass ownership of bugs and support queries that surface in Journey 1, fixing what is ours and handing over with diagnosis when the root cause sits with another service owner, • Contribute across the services Growth owns, including onboarding, biometrics, APR, CLM, legal service, alert service, app and website front end, • When Growth work extends a service owned by another team, build it under that team’s contributor rules rather than handing it off, • Use data and product context to make better engineering choices: understand conversion, utilisation, reliability and fraud / ID‑failure drivers, and connect technical work to measurable outcomes, • Write clean, tested, maintainable code and documentation so the team can move quickly without losing quality, • Collaborate closely with engineers, Product, Design, QA and business owners, bringing technical options early rather than waiting for fully formed tickets, • You think like a product engineer: you care about the customer outcome, the commercial goal and the production behaviour, not just completing a ticket, • You enjoy working in a cross‑functional team with Product, Design and business owners, and you can turn ambiguous goals into pragmatic, shippable increments, • You’re comfortable across frontend, backend and cloud services, and you know when to go deep in one area to solve the right problem, • You care about reliability, observability and feature health because Growth journeys directly affect onboarding, utilisation and customer trust, • You communicate clearly with engineers, product and business stakeholders, including explaining trade‑offs and risks in plain language, • You’re pragmatic in a startup: happy to move quickly, improve legacy areas safely, and choose boring technology when boring is right, • You want real ownership of customer‑facing product outcomes, not just isolated technical components, • Can operate effectively under ambiguity, • Proven experience as a product‑minded backend, frontend or full‑stack engineer building and running production systems, • Strong Node.js / TypeScript experience, ideally with AWS and event‑driven or serverless architectures, • Experience building customer‑facing web or app features, preferably with React Native / Expo / React / Next.js or similar modern frontend frameworks, • Good understanding of Infrastructure as code with Terraform; CI/CD as a habit, • A track record of using testing, monitoring, documentation and code review to raise quality around you, • You write clean, tested, maintainable code and leave systems more understandable than you found them, • Fintech, banking, credit cards, payments or regulated product experience, • Experience improving onboarding, activation, utilisation, conversion funnels or customer engagementExperience with identity, biometrics, fraud checks, APR, credit limit management or customer communications, • Experience getting real leverage from AI‑assisted development tooling, • Start‑up experience, • Following the FCA Conduct Rules:, • You must act with integrity, • You must act with due skill, care and diligence, • You must be open and cooperative with the FCA, PRA and other regulators, • You must pay due regard to the interests of customers and treat them fairly, • You must observe proper standards of market conduct #J-18808-Ljbffr