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The Role As Senior QA Automation Engineer, you will be embedded within one of our product councils as the dedicated quality expert, typically for a year-long engagement. You will work across the full product lifecycle, from refinement sessions through to delivery, bringing quality thinking in early rather than bolting it on at the end. Alongside your council work, you will play a significant role in shaping our wider QA function. That means evolving our automation frameworks, mentoring engineers, championing better practices, and contributing strategic input that influences how the whole team operates. This is a senior individual contributor role with real autonomy and visibility. You will be trusted to identify what needs doing and get on with it, whilst also knowing when to bring others along with you. Main Responsibilities Quality leadership and strategy Partner with QA leadership to help shape strategy, standards, and direction across the function Lead initiatives to improve our TypeScript/Cypress (web) and Java/Appium (mobile) automation frameworks Identify and drive adoption of new testing approaches, tools, and methodologies Establish and evolve testing standards across the QA team Mentor QA engineers, helping them grow both their technical and strategic skills Champion continuous improvement by consistently identifying better ways of working Testing and automation Write high-quality automated tests using our TypeScript/Cypress and Java/Appium frameworks, contributing new tests regularly Architect and implement improvements to existing test frameworks Maintain and enhance test suite reliability and effectiveness Debug, monitor, and resolve automation pipeline failures Perform manual testing including ticket verification, test case management, and regression testing Lead by example in testing practices and demonstrate what excellence looks like Embedded QA within your product council Act as the sole QA representative within your assigned product council Build strong relationships and credibility with developers, product managers, and stakeholders Participate in refinement sessions from the earliest stages, influencing quality from the start Manage stakeholder expectations and communicate quality status clearly and confidently Handle multiple concurrent workstreams effectively within your council The essentials Significant QA experience with a background in a senior QA or SDET role Expertise in test automation, with proven experience architecting or significantly improving test frameworks Strong hands-on experience with end-to-end automation frameworks such as Selenium, Cypress, WebDriver, or Appium Demonstrated ability to lead technical initiatives and drive them through to completion Experience mentoring and upskilling other QA engineers A track record of establishing testing standards and best practices within teams Strong stakeholder management skills with the ability to influence and advise at all levels Experience working in Agile environments embedded within product teams Highly desirable Hands-on experience with TypeScript/Cypress or Java/Appium specifically API and contract testing experience Strong understanding of CI/CD pipelines and DevOps practices Experience with performance and load testing Mobile app testing expertise Understanding of test architecture and design patterns The mindset Comfortable working autonomously to identify problems and implement solutions Able to influence strategy whilst remaining genuinely hands-on with code Energised by mentoring others and helping them grow Constructively challenges the status quo to drive meaningful change Balances strategic thinking with practical execution Proactive in identifying what needs doing without waiting to be directed A strong communicator who actively engages across remote and distributed teams Our tech stack Automation frameworks: TypeScript with Cypress (web portal), Java with Appium (mobile apps) Product stack: Ruby on Rails backend, React frontend, some Clojure services Infrastructure: Kubernetes across cloud and on-premises datacentres Benefits Pension scheme Personal performance bonus 26 days holiday each calendar year Bupa health & dental cover Group life assurance EAP Cycle to work scheme

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start ups and large enterprise customers. Nscale enables AI focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We're hiring a Network Engineer to design, deploy, and operate the networking services that underpin both Nscale's internal management platform and customer facing cloud infrastructure. This role sits within our Engineering team and is part of the Network Engineering Team, which is responsible for internet transit, WAN connectivity, and data centre networking. You'll work closely with deployment teams to ensure bills of materials are correct and fit for purpose, and provide input into data centre layouts and rack elevations so reference architectures are implemented correctly. This is a high impact role at the core of our AI infrastructure platform. You'll help ensure the performance, reliability, and scalability of the high speed Ethernet and InfiniBand networks that support Nscale's infrastructure, while also serving as an escalation point for complex networking issues across the organisation. What you'll be doing High Speed Network Design and Operations Design high speed Ethernet based networks that support internal and customer facing infrastructure. Operate production network services to maintain stability and performance. Design high speed InfiniBand networks for AI and HPC oriented environments. Deploy and operate InfiniBand networking infrastructure in production. Infrastructure Deployment and Architecture Partner with deployment teams to ensure BOMs are correct and fit for purpose. Guide rack elevation planning to ensure reference architectures are deployed correctly. Support the implementation of networking standards across new infrastructure rollouts. Performance, Troubleshooting, and Escalation Troubleshoot performance issues across both Ethernet and InfiniBand networks. Investigate complex network problems affecting core infrastructure services. Act as an escalation point for advanced networking issues within the support organisation. Automation and WAN Connectivity Automate the deployment and initial stand up of hardware from multiple vendors. Automate day to day operational tasks across multi vendor network hardware. Design WAN infrastructure to support connectivity across the platform. Implement and support WAN networking services as part of the wider infrastructure estate. KPIs Ethernet network deployment and operational reliability InfiniBand network performance and troubleshooting effectiveness Accuracy and fitness of networking BOMs and reference architecture implementation Automation of hardware deployment and day to day network operations About You Proven experience designing, deploying, and operating high speed Ethernet networks. Strong knowledge of VLAN, LACP, MLAG, BGP, OSPF, EVPN, and VXLAN. Proven experience designing, deploying, and operating InfiniBand networking. Hands on expertise with InfiniBand configuration, performance tuning, and troubleshooting, including Subnet Managers, QoS, and RDMA. Strong knowledge of WAN technologies including MPLS, BGP, IPSec, GRE, and SD WAN. Knowledge of HPC networking topologies, including Fat Tree and Rail. Strong scripting capability in Python or Bash. Strong knowledge of optics and network hardware to support BOM design. What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive compensation package (base + bonus + equity), with performance reviews every 12 months. Join one of the fastest growing AI infrastructure companies - your chance to directly shape how global AI capacity is planned and deployed. Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross functional initiatives and shaping capital strategy - always with our full support. Human First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.

Backend Engineer At Gradient Labs, we're on a mission to make exceptional customer service the norm. Founded in 2023, we've quickly gone from an idea to a growing team with customers you know (and probably love). Our AI agent helps businesses handle even the trickiest, high stakes customer support queries safely and effectively, all while giving them the visibility and control they need to trust the outcomes. We're a small but mighty team of builders from leading companies like Monzo, Pleo, and Google. We work in a hybrid model from our London office, a short walk from Liverpool Street Station, where we collaborate and connect 2 3 days a week. If you're excited to tackle some of the hardest problems in AI and help shape the future of customer operations, we'd love to hear from you. How you'll make an impact This isn't a maintenance role or a feature factory. At Gradient Labs, you will own systems that matter - from the first architectural decision through to production, scale, and everything that breaks along the way. You'll work on the infrastructure that makes autonomous AI agents actually reliable in the real world. That means building for failure, designing for observability, and shipping with conviction - not waiting for a perfect spec that will never arrive. Build the OS for AI Agents - Contribute to a safe, scalable platform that lets us iterate on autonomous agent capabilities faster than anyone else. You are building the infrastructure that makes AI actually work in production. Ship Resilient Systems - Design and own systems that hold up under failures, retry storms, and resource starvation - with full observability baked in. Reliability is a baseline, not an aspiration. Take Products from 0 1 Scale - Scope something from scratch, make the early architectural calls, and stay responsible for it as it grows. We build with conviction and we see things through. Move Fast, Ship Often - Iterate in small increments. Multiple deploys a day. Comfort with ambiguity is not optional - it is the job. The mission moves faster than the roadmap. What you'll bring Substantial tenure building production software at a fast growing company - fintech, AI, consumer tech, or any environment where pace and stakes were both high Proven experience owning complex, high stakes systems end to end - not handing off at merge, but staying accountable through observability, iteration, and scale Deep fluency in Go (Golang) and comfort operating across a modern backend stack (PostgreSQL, Temporal, GCP, Kubernetes) A product instinct that goes beyond technical elegance - you think from the customer backwards and bring that into every architectural decision Senior, Staff, Principal or Distinguished level in practice - someone who has operated with real scope and real accountability Genuine excitement for autonomous AI as a platform shift, not a trend - you want to build the infrastructure that makes agents genuinely reliable Strong opinions, loosely held - conviction without ego, and always willing to be wrong in pursuit of the right answer Why join Gradient Labs? This is a unique chance to be part of a team working with cutting edge technology to reshape how businesses will operate in the future. Over the next 10 years, every company will need to embrace AI powered operations to stay competitive, and this role puts you right in the middle of that transformation. You'll tackle challenging and new problems, work with some of the most exciting brands across different industries, and be surrounded by a passionate, smart team that's driven to build something groundbreaking.

A leading fintech startup in the United Kingdom is seeking a Senior AI Engineer to drive the development of their agentic AI systems. In this influential role, you will work alongside the Head of AI to design and implement innovative solutions while mentoring fellow engineers. This position requires deep expertise in building production-grade AI systems, particularly in high-trust domains. The ideal candidate will thrive in a collaborative environment, contributing significantly to Chip's mission of simplifying wealth management for everyone.

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications What you can expect Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. We're hands on with emerging technologies - exploring what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform - enabling AI agents that reason, retrieve, and act across systems. Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith. Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) - but always choosing the right tools for the problem at hand. Constantly learning, testing, and sharing findings across our internal AI community. Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Software engineers with a passion for AI - or data scientists who've embraced engineering. People who experiment, prototype, and explore emerging AI tools in their own time. Strong foundation in a language suited to AI system development and data workflows. Experience integrating models with APIs, data sources, or production systems. Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks. Understanding of cloud native (AWS / GCP / Azure) and DevOps / DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering and model evaluation. Solid grasp of distributed systems, microservices, and RESTful APIs. An understanding of LLMOps tools for managing GenAI workflows. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client centricity (60 mins) Benefits Life At PA encompasses our people's experience at PA. It's about how we enrich people's working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on

Job Description Your impact At Leonardo, we have an exciting opportunity within the Integrated Sensing and Protection (ISP) Line of Business (LoB) for a Chief Systems Engineer operating within the Precision Guidance business area in Basildon. This is a senior technical leadership role aimed at supporting strategically important programmes. As Chief Systems Engineer, you will act as the focal point for Systems Engineering governance and capability development, influencing and realising the benefits of robust engineering practice, coherent architectures, and a clear technical direction. You will collaborate closely with engineering, capability, and programme leadership to embed Systems Thinking and influence the business area's long term success. Our work is exciting, challenging, and complex. With a diverse portfolio of technologies and projects at different stages of maturity, Precision Guidance requires strong Systems Engineering discipline to ensure we are doing the right activities at the right time. Your role is to help the programme navigate this complexity and deliver high quality, integrated solutions. To be successful you will demonstrate passion for your trade by instilling a systems thinking approach based on experience forming and leading high performing teams. Using your skills as an influencer, you will thrive in dynamic environments, with the ability to make decisions quickly under pressure and set a clear technical vision for the team on Systems Engineering methodologies. The role will involve extensive people engagement at the Basildon site with flexible working arrangements available that align with the project's charter and IPTs needs. Influence the development, structure, and quality of engineering artefacts across the FC/ASW programme, ensuring coherence, consistency and technical integrity Act as the focal point for systems engineering governance, supporting Lifecycle Management (LCM), activities ensuring compliance with solid SE practices Provide expert coaching to ensure engineers fully understand the problem space, stakeholder needs, and system constraints across early and later lifecycle stages Ensure the appropriate level of concept development, modelling & simulation and architectural techniques to inform solution options and technical decisions Influence whole life design considerations relating to Safety, Security, Manufacture, Test, Supportability, Through Life Support in line with company processes Identify trends across the Business Area, capturing and sharing lessons learned to improve the quality and efficiency of future work Collaborate with your peers in similar roles across the LoB/UK to promote a culture of continual learning and improvement, acting as a change agent for systems engineering Identify trends, recurring challenges, and systemic inefficiencies across the area of focus, turning them into actionable improvements Act as a change agent, helping the organisation strengthen its Systems Engineering capability and adopt more connected, scalable engineering practices What you'll bring We are looking for a systems thinker with: Experience applying Systems Engineering governance and LCM process A track record of delivering high quality engineering artefacts within Integrated Project Teams Experience in eliciting stakeholder expectations Experience in creating and defining architectures Experience in managing and collaborating with internal/external stakeholders Proven leadership and decision making skills in a high complexity, dynamic environment at a senior level Excellent communication and interpersonal skills, proven ability to build trust and respect at different levels (An effective influencer) Motivation, tenacity and determination, with a desire to deliver beneficial outcomes Experience with Model Based Systems Engineering tools and methodologies Experience working on large scale Systems Integration programmes, managing cost, schedule and quality implications Domain experience in any of the following specialisms: RF, Electronic Warfare, Electro Optics, Air/Land/Sea sub system Platform Integration, Sensor Fusion, AI/Machine Learning Practitioner level ability using Model Driven Engineering tool e.g. Cameo Systems Modeler, Matlab, Simulink, DOORS (classic) This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, which could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi days each year. Secure your Future: Benefit from our award winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Basildon Contract Type: Permanent Hybrid Working: Hybrid

The Opportunity This is a senior individual contributor role at the technical heart of Chip's AI chapter. You will be a key technical contributor to our agentic AI systems, working closely with the Head of AI and the wider engineering team to design, build and scale the infrastructure that powers our customer-facing AI products. You will have significant technical ownership - this is not a role for someone who wants to configure existing frameworks. We are looking for someone who can design novel solutions to hard problems and take them all the way to production. What you can expect to be doing: Architecture & Technical Design Work closely with the Head of AI to contribute to and implement the technical architecture of Chip's multi-agent AI systems - from orchestration layer to inter-agent communication and context persistence Design bespoke frameworks and tooling where off-the-shelf solutions fall short Author and maintain architectural decision records (ADRs) and engineering standards for the AI chapter Evaluate emerging techniques and approaches, adapting from research into production-ready implementations Delivery & Implementation Lead the hands-on implementation of AI systems alongside the team, maintaining deep technical involvement Build production-grade systems: observable, reliable, and cost-efficient at scale across Chip's 400k+ user base Define and implement testing and evaluation strategies for agentic systems - models-as-judge, synthetic data, human-in-the-loop processes and runtime safety / quality controls Identify and implement "flywheels" and processes that drive quality and performance through continuous iterative improvements Own the integration of AI systems with Chip's existing infrastructure, including async patterns and SDK design Technical Leadership Set the technical bar for AI engineering at Chip - reviewing work, raising standards, and mentoring engineers Work closely with the Head of AI on technical strategy and architectural direction Partner with the AI Product Manager and wider engineering teams on technically complex initiatives Contribute to Chip's company-wide AI engineering standards and governance What we're looking for: Deep hands-on experience designing and building multi-agent AI systems in production - not just configuring existing frameworks Proven ability to take AI systems from concept through to production with long-term ownership Track record of solving hard technical problems: large context windows, hallucination mitigation, novel orchestration patterns Experience building customer-facing AI systems in regulated, high-trust, or high-risk domains is a strong plus Experience building AI systems on AWS is strongly preferred, particularly using services such as Bedrock, SageMaker, ECS, and EventBridge Technical Depth Expert-level understanding of agentic architectures: orchestration, inter-agent communication, state and context management Strong experience with evaluation frameworks, retrieval systems, model behaviour analysis and production observability for AI systems Comfortable working across the full stack - infrastructure, services, and AI layer - to ship end-to-end solutions Stays current with the fast-moving AI landscape and is genuinely excited about being at the forefront of what's possible Ways of Working High agency IC - owns problems end-to-end without waiting for direction Comfortable in a small, fast-moving team where the scope of your impact is large and visible Collaborative and generous with knowledge - raises the technical capability of those around you Interested in the commercial and product context of the systems you build, not just the engineering The Role in Context You will report to the Head of AI and work alongside a small team of Backend Engineers in building and maintaining Chip's AI Platform. You will also work closely with the product teams who are building customer-facing features on top of your platform, as well as stakeholders across the business on internal AI-driven opportunities. What we're really looking for We're looking for someone who's genuinely excited about Chip and energised by the opportunity to help build the future of wealth, making saving, investing and pensions simpler and more accessible for everyone. We work in a regulated space, so the bar is high. But we've built a team of smart, thoughtful people who care about doing great work and enjoy doing it together. Technical skills matter, obviously. But they're not the only thing we hire for. We want real people. People with interests, perspective and personality. The best teams are made up of individuals who bring different experiences into the room, not just polished CVs and good interview answers. So alongside the technical side, we'll be looking for empathy, self-awareness, sound judgement, resilience and a collaborative mindset. People who are good to work with, especially when things get hard. Working Hours Monday to Thursday: 9:00 AM - 6:00 PM Friday: 8:00 AM - 4:00 PM (Start your weekend early!) Enjoy a structured yet balanced workweek, with an early Friday finish to kickstart your weekend! PERKS Discretionary Performance-Related Annual Bonus of up to 10% (Cash) and 5% (Shares) based on your gross annual salary. Workplace pension scheme - We invest in your future with a workplace pension scheme, contributing 5% on earnings up to £50,000. Plan ahead with confidence while you grow your career! Private medical insurance (medical history disregarded) Employee Assistance Programme Cycle to work scheme Season ticket loan Free ChipX subscription for UK-based employees We are an equal-opportunity employer and value diversity Flexible working arrangements 28 days holiday plus bank holidays, plus the days between Christmas and New Year Annual training budget for courses, workshops, or conferences to help you advance your career. £30 per month Chip Fitness Benefit to suit your Mental/Physical Wellbeing Company laptop Opportunity to have a huge impact on our product while fast-tracking your knowledge, responsibility and skills in a high-growth fintech startup Our Interview Process Video screen with someone from our Talent team Video interview with the hiring manager Video interview with senior stakeholders Final interview with CTO About Chip Chip's mission is to make your life wealthy. We're building the wealth super app of the future, to build long-term wealth across savings, investments and pensions. We use technology to break down barriers so users can invest like the ultra-wealthy, giving them one simple place to manage, grow and protect their wealth. The Sunday Times listed Chip as the 6th fastest growing tech company in Britain, and Chip serves over 400,000 active customers and looks after over £6billion in assets. Chip is built by a fast-growing team of designers, developers, customer service professionals, marketers, banking experts, and entrepreneurs. Chip has raised over £50m from 29,000 investors over 9 years. Our vision To be the most personal digital wealth manager in the UK Who we are Chip has a creative and diverse team of 180, from all different backgrounds and industries. We're driven and passionate people, but no one takes themselves too seriously. We have awards including Best Personal Finance App at the 2022, 2024 & 2025 British Bank Awards. Our Values Be ACCOUNTABLE Everything you do matters, care about the end result, challenge the norm, disagree, yet commit to making it happen once a decision has been made, do the best job possible Be BOLD Share our ambition and do your bit to achieve it, innovate, set goals that align with our mission, do your best for our customers Be COLLABORATIVE Work cross-functionally - we win as a team, build strong relationships based on trust, treat others fairly and respectfully, hold others to account, be supportive and inclusive, have fun together Equal Opportunities We are committed to an inclusive environment and encourage applications from people irrespective of gender, race, sexual orientation, religion, age, disability status or caring responsibilities. We will help you balance work and home life and support your professional and personal aspirations. Note to Agencies Chip does not accept unsolicited CVs from recruiters or employment agencies in response to any of our live roles on our career page. We reserve the right to hire candidates without any financial obligation to the recruiter or agency. Any unsolicited CVs submitted are the property of Chip.

Ready to pioneer the future of AI-augmented engineering and redefine the speed of software delivery? This could be the place for you! $113M funded. Global footprint. AI-powered. Human-driven. INSHUR is the embedded insurance powerhouse for the on-demand world. We partner with giants like Uber and Amazon to provide fair, data-backed coverage for the modern workforce. We're 220 people strong across the UK, US, and Netherlands, using AI as a multiplier to stay ahead of the curve. Want to work where tech actually meets the road? You're in the right place. The role As a Product-Minded Senior Software Engineer III, you will be responsible for incrementally shipping value to customers, orchestrating AI agents to research, plan, and implement changes to our products while iterating with the wider team to leverage these tools to increase velocity and quality. This role reports to an Engineering Manager and sits within a product team of 8-10, who believe in pioneering AI engineering workflows and transforming team practices through agentic collaboration. This is a Hybrid role requiring regular in-person team meetings at our Brighton office, typically held on the last Thursday of each month for team connection. What you'll do Own and Ship Customer Value: You'll deliver incremental customer value through features and projects across INSHUR's policy, claims, and internal tooling products - shipping outcomes that users actually feel. AI-Native Development: Leverage agentic coding tools (Claude Code, Cursor) to research, plan, architect, and implement product changes quickly and with high quality, by guiding agents through complex tasks and validating against engineering standards. Write Code That Matters: You'll write and review code across Go, Java (Spring), and/or Node.js, using AI tooling to bridge syntax gaps rapidly without compromising correctness. You'll define and implement tests in business-readable language that lock in behaviour. Lead Problem Resolution: You'll be the trusted expert for critical bugs and incidents in your area, using AI tooling to diagnose fast and resolve with confidence, preventing customer impact and building team resilience. Drive Wider Initiatives: You'll shape how INSHUR engineers work by contributing to squad, collective, or discipline-level initiatives, especially those advancing AI-augmented engineering practices across the organisation. Own Observability: You'll ensure systems stay healthy and visible by identifying monitoring gaps and independently managing escalations, building confidence that your area runs smoothly. Collaborate Across Functions: You'll work directly with product managers and designers to understand customer needs across our policy, claims, and internal tooling products, ensuring engineering decisions are shaped by real customer context. What we're looking for We care more about how you think than what's on your CV. If you meet most of the essentials and are excited about the problem, apply. Essential Product mindset: You can take an idea and break it down into small iterations of value Outcome driven: Rather than going deep on tooling, you're focussed on delivering value to customers in terms they understand AI-Native / Agentic Workflow: You have effectively used tools like Claude Code to plan, architect, and code, and can clearly explain how you steer agents to achieve complex goals. Golang / Java/NodeJS - Polyglot Mindset: You possess a solid understanding of Go, Java (inc Spring) or NodeJS to verify code, while being able to use AI to bridge syntax gaps rapidly. Testing & Quality Assurance: You are able to articulate tests in business language, even when code is generated by AI. Innovation & Growth Mindset: You are passionate about bringing new workflows to a scale-up environment and "learning in the open." Nice to have Scaling Experience: You have worked with asynchronous distributed systems AI Tooling Proficiency: You bring to the table novel ideas and flows around AI coding assistants like Cursor or Claude Code Mentorship Track Record: You have experience sharing knowledge and upskilling teams on new technologies or methodologies. Behavioural testing mindset: When it comes to testing, you think in terms of locking in behaviour, not implementation What to expect from the process Screen & Intro: 30-minute video call with the Talent Team to discuss the role and your experience with AI agents. HM Interview: 45-60 minute video call with the Engineering Manager and Head of Engineering to delve into workflow, mindset, and AI tool usage. The "Agent" Test: A live technical task where you'll use Claude Code (or your preferred agent) to solve a complex requirement or refactor code. Final Stage: 45-60 minute interview with the broader team and People Team to assess collaboration and "Learning in the open." We design this to be a two-way conversation. Come with questions - we want you to leave knowing whether this is the right move for you. We also use AI tools to support our hiring process - not to make decisions, but to help us run a fairer, faster process. You can read more about how we approach that here, including tips for how you can use AI to prepare. What we offer We've also built a benefits package that invests in our people's long-term personal and professional growth and wellbeing. Here's a sample of what this includes; Salary £70-£80,000, depending on experience and location, plus stock options for every employee 30 days of holiday annually, plus bank holidays Private healthcare for you and your family, including pre-existing conditions Life insurance at 3x your salary 13 weeks parental leave at full pay for new parents Workplace nursery scheme with Gogeta, allowing you to pay fees pre-tax Ride to work scheme Workplace pension scheme to help you save for retirement Flexible working hours to suit your lifestyle £500 annual personal training allowance plus regular learning opportunities on a variety of topics £40 monthly wellbeing to keep you healthy 24/7 Employee Assistance Program, covering you and immediate family members-offering crisis support, counselling, legal advice, menopause CBT, and more Unlimited AI usage with Claude and Gemini Working here You'll do well here if you: Move through ambiguity without waiting for a perfect brief Take ownership of outcomes, not just tasks Adapt quickly when priorities shift, and help others do the same Look for ways to improve how things work, not just how to complete them Use tools, data, and colleagues to make better decisions This probably isn't the right fit if you: Prefer clearly defined processes and a stable, slow-moving environment Are most comfortable staying within the boundaries of your job description Find frequent context-switching draining rather than energising Inclusion and flexibility INSHUR is committed to building a team where everyone can bring their full self to work. We follow a structured hiring process and train our interview teams to support fairness and reduce bias. We welcome applications from people of all backgrounds. We do not discriminate on the basis of race, colour, religion, gender identity or expression, sexual orientation, national origin, disability, or age. This role is advertised as full-time. We're open to discussing part-time, job-sharing, or other flexible arrangements for the right person. If you need any adjustments during the process, let us know and we'll do our best to accommodate.