3520 jobs found

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. Team 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Network squad builds the forecasting engine that powers every operational decision in the business. Demand forecasts drive shift release in sortation. Expansion models determine where the network grows. Parcel intelligence feeds route planning and vehicle loading. When the squad ships a better model, the impact multiplies across five consuming squads, Finance, and ultimately Relay's cost per parcel. The squad is growing from four people to ten: Data Scientists, Analysts, and a Software Engineer, each contributing to a system that spans demand forecasting, expansion modelling, parcel dimensions, sortation predictions, and demand management. That system has dependencies on Sortation, Middle Mile, Last Mile, Routing, and Commercial - plus Finance, who extend the operational forecasts into longer-range financial projections. It also supports four embedded analysts sitting in other squads across the business. As Programme Manager for the Network squad, you coordinate the delivery of this system. The role involves taking the squad's roadmap and turning it into a structured programme - tracking commitments, managing cross-squad dependencies, removing blockers, and keeping stakeholders informed. The specifics of the programme will develop as you ramp up and learn how the squad and its consuming teams work together. The squad lead sets technical direction and manages people. You work alongside them to keep the programme on track, supported by a team that values coordination and wants to deliver well. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists. The Network squad sits within this team and serves every operational squad in the business. You will work with the squad lead, the Data Scientists and analysts in the squad, and the leads of the five consuming squads. What You'll Do Coordinate the delivery programme for the Network squad: roadmap tracking, sprint management, cross-squad coordination, and dependency management across a 10-person team Manage dependencies with five consuming squads (Sortation, Middle Mile, Last Mile, Routing, Commercial) and Finance, ensuring that what Network delivers matches what those teams need and when they need it Run the squad's delivery cadence: cycle planning, triage, standups, retros, and cross-functional syncs Track commitments and surface risks early - identifying which initiatives are on track, which are slipping, and what needs to change Remove blockers that sit outside the squad: engineering dependencies, data access, stakeholder alignment, prioritisation conflicts with other squads Coordinate the work of four embedded analysts in other squads (Routing, Sortation, Middle Mile, and one TBC), ensuring alignment with Network's priorities Keep stakeholders informed with regular updates on what's shipped, what's in progress, and what's changed Support the squad lead by taking on operational coordination, freeing them to focus on technical direction, model quality, and strategic relationships Who Will Thrive in This Role? You have at least 5 years of experience in programme management, delivery management, or a similar coordination role, ideally in a technical or data-heavy environment. You have experience managing multiple workstreams. You have experience working in technical environments even if you're not a data scientist yourself. You can follow a conversation about model accuracy, forecast horizons, and pipeline reliability enough to know when something is blocked, behind, or being under-scoped. The squad will help you build domain knowledge as you ramp up. You have experience tracking commitments and following up when things stall. You bring structure to how teams track and deliver their work. You have experience coordinating across teams without direct authority - helping squads understand what's expected and when. You have experience communicating with stakeholders at different levels - giving a squad lead a quick update on a dependency, giving senior leadership a picture of the programme's health, and giving a Data Scientist an answer on when their work will be prioritised. You have experience managing dependencies and how work connects across teams. You plan for how one squad's timeline affects another's. Experience in logistics, data platforms, or forecasting environments is a plus, but what matters more is the ability to learn a complex technical domain quickly and manage a programme within it effectively. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Senior Modelling Software Engineer - Chronos Department: Tech - Model & Platform Engineering Employment Type: Permanent - Full Time Location: Oxford, UK Description Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval). We're looking for a Senior Software Engineer to help us build and maintain the Python codebase behind Aurora's Chronos battery storage modelling product. You'll lead or co lead a small team (4 6 people) working in a collaborative engineering environment, owning feature development and improving code quality, maintainability, and developer experience in the model stack used across our business. You'll thrive here if you enjoy writing clean, maintainable Python, shaping libraries and packages that other teams rely on, while raising engineering standards across the organisation and empowering your team to do their best work through coaching and mentoring. The position suits an individual with 5+ years of experience in Python software engineering who is interested in a career applying software engineering techniques to modelling software solutions. Key Responsibilities Lead and manage a small team of modelling software engineers, supporting their development and engagement Manage on time delivery of robust and scalable model features Design, implement, and maintain Python modules/packages in the modelling codebase; own components over time and steward their quality and usability for other teams Translate modelling methods into production quality code, collaborating with method owners in the Modelling team; ensure implementations are readable, tested, and traceable Improve code quality and developer experience by refactoring for clarity, strengthening interfaces and simplifying implementations Champion automated testing and TDD; driving the adoption of modern software engineering practices in the model development team Participate in code reviews and technical design discussions Identify and address architectural bottlenecks and opportunities to improve scalability and developer experience Skills, Knowledge and Expertise Required attributes: Professional Python experience (5+ years) in a commercial, team based software environment, delivering components used by other teams/customers Experience in applied software architecture and design patterns Experience building with Test Driven Development and Continuous Delivery Experience in DevOps/Infrastructure development including containers and CI/CD Experience leading small teams, managing and mentoring junior colleagues Experience stewarding internal libraries, packaging and dependency management at scale Experience in effective and efficient agentic first development Desirable attributes: An interest in working in the energy/decarbonization sector Experience engaging with internal stakeholders and colleagues in other teams Experience developing software for modelling, simulation or mathematical optimisation What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a skilled and proactive Full Stack Engineer to join a high-performing remote team. In this role, you'll be responsible for designing, developing, and maintaining scalable web applications across both frontend and backend systems. This is an exciting opportunity for engineers who enjoy working on impactful products, collaborating cross-functionally, and owning features end-to-end. Key Responsibilities Develop and maintain responsive, high-performance web applications (frontend + backend) Collaborate with product managers, designers, and engineers to deliver new features Build and integrate APIs, services, and third-party tools Optimize applications for scalability, speed, and security Write clean, maintainable, and well-documented code Troubleshoot, debug, and upgrade existing systems Participate in code reviews and contribute to engineering best practices Stay up-to-date with emerging technologies and frameworks Qualifications 3+ years of experience in full stack development Strong proficiency in JavaScript/TypeScript and modern frameworks (e.g., React, Next.js, Node.js) Experience with backend technologies (e.g., Express, Python, Ruby, or Java) Solid understanding of RESTful APIs and database systems (SQL/NoSQL) Familiarity with cloud platforms (AWS, GCP, or Azure) Experience with version control systems like Git Strong problem-solving skills and attention to detail Excellent communication skills and ability to work in a remote environment Nice-to-Have Experience with DevOps practices (CI/CD pipelines, Docker, Kubernetes) Exposure to microservices architecture Knowledge of testing frameworks (Jest, Cypress, etc.) Previous experience working in SaaS or startup environments Competitive salary based on experience and seniority Fully remote role with flexible work environment Work with innovative global companies in high-growth industries Long-term career growth and upskilling opportunities Ownership of impactful projects and real product influence Collaborative, international team culture

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are- with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Required Qualifications 8+ years hands on DevOps engineering experience on Salesforce platforms Strong hands on experience with CI/CD tools such as GitHub, Salesforce DevOps Center, and Gearset. 5+ years of experience managing multi environment Salesforce delivery (development, testing, UAT, production) Demonstrated technical expertise, leadership, and team management skills Ability to drive cross functional teams to meet goals and operate effectively in a large enterprise environment Preferred Qualifications Experience with end-to-end CI/CD pipelines for Databricks workloads (notebooks, jobs, DLT pipelines) and automating deployments using Databricks Asset Bundles, Databricks CLI, and GitHub Actions / Azure DevOps Experience with QA automation frameworks and test automation strategy Experience with Cursor and ClaudeCode Background in regulated, risk aware, or highly governed environments Education Bachelor's Degree in Computer Science or Computer Engineering Responsibilities Lead DevOps engineering for Salesforce and Databricks, driving secure, scalable, and reliable release delivery responsible for CI/CD pipelines, release management, and environment strategy Own DevOps standards, tooling, and best practices Partner with Salesforce developers and Databricks engineers to enable efficient, high quality automated releases Partner with QA engineers to integrate test automation frameworks into CI/CD pipeline Drive automation across build, test, deployment, monitoring, and incident management Manage and deliver Salesforce and Databricks releases Lead, mentor, and develop engineers, including goal setting, performance management, and coaching Contribute to broader technology modernization and engineering excellence initiatives at Moody's About the team The Customer Operations and Risk organization supports the customer lifecycle and lead-to-cash processes. This role sits within the Business Systems function as part of Data Management and Analytics team to deliver trusted data, reporting, and insights that enable decision making across the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.

Senior Technical Lead - UK We are looking for an experienced Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM). Define and own technical standards, code quality practices, and architectural patterns across project teams. Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints. Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools. Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions. Provide high level and detailed technical solution estimates. Review and consult with stakeholders on SOWs. Review briefs, add questions, and refine technical requirements. Deliver all technical documentation required during discovery. Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates. Identify and flag technical risks early, including gaps in client provided inputs that may impact delivery timelines. Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases. Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication. Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning. Collaborate with cross functional teams-UX, strategy, data, and QA-to ensure technical decisions support broader project goals. Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise. Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team. Road map and Project Planning Lead and define technology approach and tool set. Facilitate environment setup and configuration efforts in coordination with other disciplines. Brainstorm and present ideas and possible solutions, driving innovation. Develop Sitecore AI roadmap. Facilitate communication with Delivery Lead and Program Manager. Deliver all technical documentation required during planning. Identify risks and important milestones. Involve with Delivery Lead, Dev Director, and Client Partner on strategic account and delivery direction. Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM. 3-5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations. Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products. Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS). Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery. AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow. Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage. Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation. Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus. Core Technical Skills .NET / C# - solid backend development fundamentals. JavaScript / TypeScript, React or Next.js for headless front end delivery. RESTful and GraphQL API design and integration. CI/CD pipeline setup and management (Azure DevOps, GitHub Actions). Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices. Agile / Scrum delivery experience in cross functional teams. Add Ons You are Sitecore MVP and actively participate in the Sitecore community. You enjoy being in front of the client and have professional services experience. You are skilled at refining and implementing Sitecore solutions. Experience contributing to or reviewing AI influenced project estimates and delivery models. Our UK Benefits include 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the Team Portal is the cloud platform that connects Wayve to the outside world: handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale-up: with its own infrastructure, codebase, and direct relationships with commercial partners including Uber, Nissan and other OEMs. We move fast, own our decisions, and build systems that matter. The Role We're looking for a Staff Data Platform Engineer to own and lead Wayve's Data Transfer Hub project. This is a mission critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partner-operated vehicles around the world. This is a hands on technical leadership role driving a new project at Wayve. You'll design and build a globally distributed hub and spoke ingestion system, working directly with data partners like Uber and Nissan. Your infrastructure is what makes Wayve's AI model training possible at scale. What You'll Do Set technical direction for the Data Transfer Hub, making trade-offs across reliability, throughput, cost, partner constraints, observability and operational support. Lead the technical design and delivery of the Data Transfer Hub project, ingesting large volumes of video, LiDAR and sensor data from global partners at up to PB/day scale. Design and build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure. Build and operate a globally distributed hub and spoke data transfer model to retrieve and share sensor data at scale with partners. Write infrastructure as code in Terraform; build pipeline logic primarily in Python. Drive cloud to cloud and cross cloud networking solutions (Azure primary; cross cloud experience beneficial). Work in a fast changing environment: requirements will evolve; high comfort with ambiguity required. What We're Looking For Proven experience building and operating large scale data transfer pipelines at multi TB or PB scale. Experience orchestrating parallelised transfer jobs: Flyte preferred; other workflow orchestration tools (e.g. Airflow, Prefect) will be considered. Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting. Strong cloud platform skills (Azure preferred); experience working with multiple cloud providers (AWS/GCP) is a strong advantage. Proficiency in Python and Terraform. Cloud to cloud and networking experience (e.g. blob/object transfer and storage at scale, cross cloud data movement). A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements. Comfort working in a fast changing environment with evolving requirements: this is a startup within a scale up. High degree of autonomy and ownership: you take responsibility for outcomes, not just tasks. Nice to Have Experience with Kafka for event driven transfer observability. Multi cloud experience across Azure, AWS and/or GCP. Experience working directly with external data partners. Background in autonomous vehicles, robotics or similar data intensive domains. This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.

Senior Technical Lead - UK At Horizontal Digital, we hold ourselves to one key belief: you're only as good as your worst customer experience. This mantra is what drives our digital consultancy to think beyond the easy answers and instead create websites, apps, portals and other experiences that solve customer needs for Fortune 500 companies in intuitive and empathetic ways. We make this lofty standard a reality by fusing strategy, data, design and technology together to arrive at solutions that set the bar higher for everyone. We are looking for an experienced German speaking Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. You will serve as the bridge between client requirements, solution design, and hands on engineering-ensuring we deliver outcomes that are scalable, performant, and commercially sound. What you'll do: Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM) Define and own technical standards, code quality practices, and architectural patterns across project teams Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions Provide high level and detailed technical solution estimates Review and consult with HZTL stakeholders on SOWs Review Briefs and add questions, technicalrequirements . Refine technical requirements Responsible for delivery of all technical documentation that is required during discovery Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates Identify and flag technical risks early - including gaps in client provided inputs that may impact delivery timelines Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning Collaborate with cross functional teams - UX, strategy, data, and QA - to ensure technical decisions support broader project goals Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team Road map and Project Planning Accountable for technical solution planning Lead and define technology approach and tool set Facilitate environment setup and configuration efforts in coordination with other disciplines Brain storming and presentation of ideas and possible solutions - Innovations Sitecore AI roadmap Facilitate communication with Delivery Lead and Program Manager Responsible for delivery of all technical documentation that is required during planning Identifying risks and/or important milestones Involvement with Delivery Lead, Dev Director and Client Partner on Strategic Account & Delivery Direction Who you are and what you bring: Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM 3 5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS) Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus Core Technical Skills .NET / C# - solid backend development fundamentals JavaScript / TypeScript, React or Next.js for headless front end delivery RESTful and GraphQL API design and integration CI/CD pipeline setup and management (Azure DevOps, GitHub Actions) Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices Agile / Scrum delivery experience in cross functional teams Add ons You are Sitecore MVP and active participation in Sitecore community You enjoy being in front of the client and have professional services experience You are skilled at refining and implementing Sitecore solutions Experience contributing to or reviewing AI influenced project estimates and delivery models Our UK Benefits include: 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working The above description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Senior Modelling Software Engineer - Chronos Department: Tech - Model & Platform Engineering Employment Type: Permanent - Full Time Location: Oxford, UK Description Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval). We're looking for a Senior Software Engineer to help us build and maintain the Python codebase behind Aurora's Chronos battery storage modelling product. You'll lead or co lead a small team (4 6 people) working in a collaborative engineering environment, owning feature development and improving code quality, maintainability, and developer experience in the model stack used across our business. You'll thrive here if you enjoy writing clean, maintainable Python, shaping libraries and packages that other teams rely on, while raising engineering standards across the organisation and empowering your team to do their best work through coaching and mentoring. The position suits an individual with 5+ years of experience in Python software engineering who is interested in a career applying software engineering techniques to modelling software solutions. Key Responsibilities Lead and manage a small team of modelling software engineers, supporting their development and engagement Manage on time delivery of robust and scalable model features Design, implement, and maintain Python modules/packages in the modelling codebase; own components over time and steward their quality and usability for other teams Translate modelling methods into production quality code, collaborating with method owners in the Modelling team; ensure implementations are readable, tested, and traceable Improve code quality and developer experience by refactoring for clarity, strengthening interfaces and simplifying implementations Champion automated testing and TDD; driving the adoption of modern software engineering practices in the model development team Participate in code reviews and technical design discussions Identify and address architectural bottlenecks and opportunities to improve scalability and developer experience Skills, Knowledge and Expertise Required attributes: Professional Python experience (5+ years) in a commercial, team based software environment, delivering components used by other teams/customers Experience in applied software architecture and design patterns Experience building with Test Driven Development and Continuous Delivery Experience in DevOps/Infrastructure development including containers and CI/CD Experience leading small teams, managing and mentoring junior colleagues Experience stewarding internal libraries, packaging and dependency management at scale Experience in effective and efficient agentic first development Desirable attributes: An interest in working in the energy/decarbonization sector Experience engaging with internal stakeholders and colleagues in other teams Experience developing software for modelling, simulation or mathematical optimisation What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

慨正橡扯 is seeking an experienced DevOps Engineer to lead engineering efforts for Salesforce and Databricks. You will drive secure and efficient CI/CD pipelines, collaborating closely with developers and QA teams to ensure high-quality releases. The ideal candidate should have over 8 years of relevant experience, a Bachelor's degree in Computer Science or similar, and strong leadership skills. The role emphasizes technical expertise and cross-functional teamwork within the Customer Operations and Risk organization.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Role Purpose Join a blended agile delivery squad working on large-scale, secure digital services for a government client. As a Senior Developer, you will bring strong hands-on experience across both .NET and Python, contributing to cloud-native API development, Legacy modernisation, and DevSecOps practices - all within a Microsoft Azure environment and aligned to the highest engineering and security standards. Key Responsibilities Design, develop, and maintain full-stack applications and services using .NET Core and Python. Build and consume RESTful APIs following API-first and microservices design principles. Contribute to CI/CD pipelines in Azure DevOps - build, test, and deployment automation. Apply DevSecOps practices including SAST/DAST scanning, dependency management, and environment segregation. Participate in code reviews, uphold coding standards, and implement secure development practices. Support Legacy system modernisation - migrating from older Windows and .NET Framework environments. Produce clear technical documentation and contribute to architecture artefacts. Ensure all developed solutions meet WCAG AA accessibility standards. Work collaboratively with architects, lead developers, and delivery managers within an agile squad. Contribute to knowledge transfer and onboarding activities for client and team staff. Security Clearance - Mandatory SC (Security Check) clearance is mandatory for this role. Candidates must be eligible to obtain SC clearance. British nationality or a minimum of 5 years' UK residency is typically required. Clearance will be sponsored upon appointment. Essential Skills & ExperienceCore Languages - Mandatory.NET Core 10.0 & .NET Framework 4.8 [MANDATORY] Strong hands-on C# with solid grasp of OOP, design patterns, and SOLID principles. Experience building production-grade applications in both .NET Core and Framework environments. Python - Production-Grade Experience [MANDATORY] Proficiency with Astral UV, virtual environments, and Python dependency management. Ability to build, maintain, and deploy Python-based services and tooling. JavaScript/TypeScript Cloud, DevOps & Infrastructure Microsoft Azure - Cloud-Native Development Experience Azure DevOps - CI/CD Pipeline Design and Management Infrastructure as Code - Terraform and/or Bicep Containerisation - Docker and/or Kubernetes Development Practices - Mandatory RESTful API design, development, and life cycle management Secure development - SAST/DAST tooling, code review, OWASP awareness Technical documentation to a high standard On-site in Taunton, Somerset - 2 days per week minimum Desirable Skills & Experience Legacy Windows technologies - Win32, WPF, MFC/ATL, COM, MSI packaging. Geospatial data formats - GeoJSON, MBTiles, GML. Familiarity with MOD Secure by Design and NCSC software security standards. Experience working in UK public sector or government digital services. Python geospatial tooling or data pipeline experience. Tech StackAreaTechnologies Backend: .NET Core 10.0, .NET Framework 4.8, C#, Python (Astral UV), REST APIs, Microservices Frontend: JavaScript, TypeScript, HTML5, CSS3, WCAG AA Cloud & DevOps: Microsoft Azure, Azure DevOps, CI/CD, Terraform, Bicep, Docker, Kubernetes Security: SAST/DAST, Secure by Design, SC Clearance (Mandatory) Geospatial: GeoJSON, MBTiles, GML (desirable) Tools: Git, Jira, Confluence, Azure DevOps Boards

Cloud Engineering Manager Role purpose: Flutter Technology is recruiting a Cloud Engineering Manager responsible for leading a team of engineers that will drive the implementation, automation, and operation of our greenfield AWS cloud platform. The platform will underpin the global services consumed by the group's well known betting brands. This role offers a fantastic opportunity to influence the technology choices across Flutter's cloud hosting platforms. You will work with all brands across the group to migrate and modernise their services, deliver technology solutions to meet their needs, and promote knowledge sharing within the engineering community. You will also contribute to the evaluation and selection of AWS services, code and configuration management tools, and other components essential for achieving our group's strategic objectives. You must be effective at articulating technology requirements, promoting cloud enablement, migrations and the methodologies required to reduce risk and achieve desired outcomes. Responsibilities Team Leadership & People Management Lead and scale engineering teams of 5+ members, demonstrating ability to hire, develop, and retain high performing talent. Manage performance reviews, capability assessments, and conduct difficult conversations (performance improvement plans, terminations). Build psychological safety and foster collaborative team cultures in technically demanding environments. Communicate complex technical concepts and infrastructure decisions to non technical audiences. Network Implementation & Engineering: Support the implementation of scalable, secure, and high performing cloud network solutions across multiple AWS regions based on approved architectural designs. Network Implementation & Engineering Build and operate Flutter's global hybrid network infrastructure, utilizing primarily AWS native services alongside on premises solutions, implementing advanced routing architectures, IP address management, centralized ingress/egress control, and enterprise wide network security services. Spearhead network deployment and operations using Infrastructure as Code (IaC) methodologies with tools such as CDK, Typescript, Terraform or CloudFormation. Ensure compliance with security frameworks, regulatory requirements, and industry standards across all network implementations. Contribute to network technology roadmaps and strategy based on hands on implementation experience and operational insights. Set technical implementation standards, enforce networking best practices, and provide mentorship to engineering teams. Support cloud architecture and Flutter Function leads with developing the cloud technology roadmap and strategy. Operational Excellence Create and drive adoption of standard operating procedures, policies, runbooks, and operational manuals. Assume guardianship of network infrastructure code and artefact repositories, ensuring adherence to best practices. Proactively identify and mitigate network risks, ensure robust disaster recovery strategies, and lead major incident response efforts. Write and review platform code, offering constructive feedback to ensure code quality. Drive continuous improvement in network monitoring, observability, and performance optimisation. Build and maintain on call rotations; manage escalation paths and ensure appropriate coverage for 24/7 operations. Establish and enforce service level agreements (SLAs) and key performance indicators (KPIs) for infrastructure services. Collaboration & Knowledge Sharing Facilitate the development and communication of Flutter Group standards for network design, development, and deployment. Enable and support engineering teams with the adoption of cloud networking services through training initiatives and workshops. Cultivate relationships with other pivotal Flutter group functions and identify opportunities for strategic collaboration. Liaise with third party vendors, AWS, and partners on networking solutions and integrations. Write and maintain comprehensive technical documentation, runbooks, and operational guides. Competencies Building Support: We establish close relationships with our stakeholders, underpinned by trust, integrity, and respect, and can build awareness, understanding, and positive momentum behind the group technology strategy, often without being able to assert authority. Objective: We are impartial and unbiased, ensuring equal treatment for all and that decisions are based on objective criteria. Collaborative: We work effectively and in partnership with our stakeholders on shared goals that align towards the achievement of the group strategy, fostering a collaborative environment and assuming the role of leader when required. Adaptable: We understand and appreciate different and opposing perspectives on an issue and can adapt our approach to achieve a successful outcome. Strategic Thinking: We think about the big picture and use that perspective to support our divisions to achieve competitive advantage through greater agility, faster time to market and a better customer experience. Strategic Communication: We are proactive and considered in our approach to stakeholder communications, actively listening, providing constructive feedback and helping others to consider new perspectives. Experience Proven experience leading and managing engineering teams, including hiring, performance management, and career development of engineers at varying levels of seniority. Experience building and operating network infrastructure across multiple AWS accounts and regions, supporting high availability, multi region workloads. Deep understanding of AWS networking services including but not limited to: Cloud WAN, Transit Gateway, VPC design, AWS Network Firewall, Direct Connect, VPN, Route53, Outpost, VPC Endpoints, load balancing services (ALB, NLB, GWLB), and VPC Lattice. Proven experience with network security implementation, including firewall policy development (AWS Network Firewall, Palo Alto), IDS/IPS management (Suricata), network segmentation, and compliance frameworks. Experience with source control management (Git, GitHub) and CI/CD pipeline integration for network automation. Demonstrated experience mentoring and coaching engineers at varying levels of seniority, with a track record of supporting career progression and capability uplift within teams. Leads engineering teams using agile delivery methodologies; applies agile principles pragmatically to infrastructure work including sprint planning, backlog management, and continuous improvement. Leads incident response, change management, and problem resolution processes, accountable for post incident reviews, risk identification, and implementation of corrective actions. Bonus Bonus points for previous software engineering experience (Python, TypeScript, Go), Wi Fi infrastructure (Cisco, Aruba), container networking (EKS, ECS), AWS certifications, or experience in highly regulated industries.

Overview The role Willis Re is a technology led reinsurance broker built on a cloud native, modular and data driven platform. As the Technology Head of AI & Emerging Tech, you will own the overall technology strategy and roadmap for AI, automation and next generation capabilities. As a member of the technology leadership team, you will turn innovation into scaled capabilities across broking, placement, analytics, and client servicing-balancing speed with safety, and experimentation with operational excellence. You will partner closely with the Product Manager, Brokers and business leaders to design simple and scalable solutions and move them from pilot to production with clear accountability. Operating in a hybrid delivery model, you will set standards, govern risk and ensure alignment to global architectures and security requirements, while enabling regional flexibility where needed. Key Responsibilities Define and own the technology strategy for AI, aligned to business priorities; translate value propositions into a roadmap. Lead delivery of AI solutions across pricing support, submission triage, document and market data extraction, client insight, workflow automation and co pilot experiences for employees. Establish responsible AI governance and controls in partnership with Cyber, Data Protection and Legal, covering model risk, data privacy, transparency, human in the loop and auditing. Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning and cost/performance optimisation. Set global standards for AI platforms, toolchains and integration patterns; ensure interoperability with enterprise data platforms and adherence to security and compliance requirements. Drive rapid experimentation with clear exit criteria; scale successful pilots into reliable, maintainable services using automated testing, observability and release practices. Develop and manage strategic vendor and partner relationships, balancing build vs. buy decisions and negotiating commercial and risk terms that protect value. Provide executive level communication and storytelling on technology strategy, risks and outcomes; partner effectively with Product Managers, Brokers and clients to shape solutions that fit market workflows. Assist Product Managers to ensure solutions land successfully with business teams. Maintain horizon scanning and technology assessment, identifying pragmatic opportunities to introduce new capabilities that enhance agility and global scalability. About you You are a business minded technology leader who turns AI and advanced technology into practical capabilities. You combine strategic clarity with hands on depth, moving comfortably from business conversation to solution design and delivery oversight, and you anchor decisions in risk and value. You thrive in a start up environment and are comfortable operating beyond your usual remit to get things done-partnering with business, engineers and regional leaders to unblock delivery and drive adoption. You communicate crisply with business leaders, make trade offs explicit and hold clear ownership for outcomes. Skills and experience Significant experience leading digital transformation, with proven delivery of AI, automation and emerging technology in complex, cloud first environments. Proven capability to architect end to end solutions as well as deliver them, from reference architectures and integration patterns through to production rollout and adoption. Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation. Strong grasp of responsible AI, security and compliance, including model risk management, privacy, data residency, human oversight and auditability. Hands on understanding of AI/MLOps practices and platforms, including model lifecycle, observability, cost control, CI/CD, feature stores and data integration. Experience defining and governing enterprise standards and architectures for AI platforms, APIs and integration, aligned to global patterns with regional flexibility. Demonstrated ability to partner with business leaders, translating business requirements into scalable solutions. Vendor and partner management expertise, including evaluation, contracting and ongoing performance management tied to value realisation. Excellent communication and stakeholder management skills, with credible engagement at all levels and across multi region teams. About Willis Re We combine specialist broking with analytics, modeling and research to help insurers optimise risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship driven, transparent and outcome focused. At the heart of Willis Re is a focus on delivering the most cutting edge analytical solutions to enable more informed, better decision making for risk selection, portfolio optimisation, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking. Willis Re will also leverage recognised technical expertise from WTW's Insurance Consulting & Technology business including their advanced modelling and analytical capabilities. Alongside this will be WTW's Research Network, an award winning business supporting and influencing science to improve the understanding and quantification of risk. Diversity & Inclusion We are committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at .

Role purpose Avanade UK Security is scaling fast, requiring a Director level Identity & Access Management (IAM) Lead to build a Microsoft first IAM growth engine across advisory, implementation, and managed services, with a strong bias toward repeatable offers, accelerated conversion, and delivery excellence. This role is also accountable for positioning Identity as the control plane for AI era security, including Microsoft Agent365, Copilot driven workflows, and emerging agent based architectures, ensuring UK Security is future proofed for the next generation of identity centric security demand. This role reports to the UK Security Practice Lead and leads presales/solutioning with a technical Solution Architect and Presales Lead. Furthermore, this role owns IAM GTM, delivery quality, capability/IP build while feeding into the Identity MSS module as part of the broader MSS portfolio (separate accountability, tight interlock). Travel expected for key clients, Microsoft, and Practice leadership commitments. Commercial expectations This role influences revenue and will carry a soft target aligned to the UK Security all up plan: Year1: $1-2m influenced growth. Year2: $2-3m influenced growth. Success is measured through supporting the sales team to generate pipeline, conversion of pipeline, expansion/attach of existing accounts, and repeatable delivery. Reporting line & operating model Reports to: UK Security Practice Lead Key peers: UK MSS Lead, UK Security Presales Lead, UK Security Solution Architects (x2 from other practices - Infrastructure, Software Engineering, Modern Workplace, Data & AI, Business Applications) People leadership: No formal line management initially; expected to act as Career Advisor/People Lead for a small number of individuals (mentorship, development, high performance standards). Matrix influence: Identity Solution Architect soft reports into the IAM Lead for practice level IAM direction, consistency, and capability build while security leadership team members continue to report to the Practice Lead. Success criteria First 6 months - A clear IAM "spine" for the practice: what we sell, how we sell it, how we deliver it, and what becomes service delivered across UK onshore, nearshore delivery centres, and offshore delivery centres. A repeatable presales motion for Entra led IAM (workshops/assessments/pilots scaled rollouts) that improves speed and win rate. Delivery governance and QA standards that reduce programme variability and escalations. 12 months - A scaled, Microsoft first IAM pipeline with a predictable conversion pattern. Demonstrable asset reuse (templates, reference architectures, automation patterns, delivery playbooks). A clear project to service pathway into Identity MSS (handover criteria, onboarding artefacts, operational KPIs etc.). 24 months - UK recognised as a credible IAM leader in regulated industries, with external presence (clients/Microsoft/events) supporting sustained growth. Key responsibilities IAM GTM & seller enablement (primary) - Own the UK IAM narrative and differentiation: Microsoft Entra first (Entra ID, Entra Suite/E7 positioning, Identity Protection, governance and lifecycle foundations etc.). Own the UK Security narrative and capability for identity centric AI security, including Microsoft Agent365, Copilot, and agent based workloads, where identity, permissions, and trust boundaries are the primary control mechanisms. Define how agent identities, agent permissions, human to agent and agent to agent trust, and data access are governed, monitored, and secured using Microsoft Entra and the broader Microsoft Security stack. Ensure IAM offerings explicitly address AI driven risk scenarios, including delegated agent access, over privileged identities, lateral agent movement, and non human identity sprawl. Position Identity as the foundational security layer for AI adoption, pulling through Entra, E7, Purview, Defender, and AI Security conversations as a single, coherent value proposition. Build IAM led GTM plays where AI security, Copilot adoption, and Agent365 are anchored in identity governance, access control, and trust, positioning IAM as the entry point rather than an implementation afterthought. Build practical seller enablement: talk tracks, qualification prompts, value proof, commercial guardrails, "what good looks like" etc. Create repeatable plays by industry and account segment where identity is the control plane for transformation and AI adoption. Presales leadership & solutioning - Lead solutioning for complex IAM pursuits with UK IAM Solution Architect: scope, approach, commercials, delivery model, risks, and dependencies. Drive fast, outcome led client entry motions (e.g., Entra security & resilience assessment, identity modernisation, governance quick starts etc.). Work with Microsoft where relevant to accelerate co sell and secure sponsorship (without diluting Microsoft first stance). Delivery quality, escalation & governance (shared accountability) - Own IAM delivery quality and programme health: QA gates, architecture assurance, delivery risk management, and escalation resolution (shared with delivery leads). Ensure delivery standards produce repeatable outcomes and strong client confidence (not bespoke reinvention). Embed modern identity security realities into delivery (identity threat, resilience, response readiness) beyond "implementation complete" to expand Microsoft security footprint. Capability, assets & IP - Build reusable assets across assessment/diagnostics, reference architectures and design patterns, migration patterns (hybrid/legacy modernisation), automation (PowerShell, Graph/API patterns), runbooks and onboarding templates. Establish a clear lifecycle across project asset offer service to compound capability and drive recurring revenue. Identity MSS interlock - Define the "handshake" from projects into Identity MSS: what must be true at handover, onboarding artefacts, operational KPIs/reporting, continuous improvement backlog and ownership boundaries. Partner closely with the MSS Lead to ensure Identity MSS is scalable and commercially viable, without blurring accountability. Partner leverage - Build and support the Partner Ecosystem team to manage relevant partner alliances when needed (e.g., migration from non Microsoft IDPs; selective IGA integration etc.) always anchored to a Microsoft first end state. Culture, leadership & people development (mentorship) - Act as a high trust, high autonomy, high standards leader who raises quality, pace, and ambition. Provide mentorship and capability development through Career Advisor responsibilities and informal leadership especially for Solution Architects and emerging IAM talent. Essential Experience Proven track record building and scaling IAM capability in a consulting environment: sell + solution + deliver + industrialise. Deep Microsoft Entra leadership across Entra ID security and configuration, Conditional Access, authentication strength, Identity Protection, Identity governance and lifecycle foundations (JML and provisioning patterns), X to Entra migrations, driving Microsoft first identity journeys. Demonstrated ability to translate emerging Microsoft platform shifts (e.g. Agent365, Copilot, AI enabled security) into credible client narratives, offers, and delivery patterns, with Identity positioned as the primary security control. Strong understanding of workforce IAM and hybrid/legacy identity modernisation (AD and modern identity patterns). Senior stakeholder presence: able to operate credibly with CISOs/CIOs and internally influence sellers and architects. Desirable experience: Security operations awareness: monitoring/logging patterns, identity investigations, and integration with broader security services; Customer Identity and Access Management (CIAM)/B2C experience. Non negotiable behaviours: Microsoft first mindset as an exclusive stance; "start up mentality" - hungry, creative, ambitious, pace driven, ownership led; able to form and articulate a clear point of view on how identity, AI agents, and automation change the security model; Builds through others: sets direction, creates clarity, removes blockers, demands quality without creating dependency; Comfortable operating in a high ambition peer group with shared standards and high autonomy. Measures of success Influenced revenue against soft target (pipeline creation and conversion). Win rate and cycle time improvement for IAM pursuits. Delivery health: reduced escalations, stronger QA, predictable outcomes. Reuse rate and adoption of IAM assets/standard approaches. Successful, measurable conversion path from IAM projects into Identity MSS.

Please note: This role requires applicants to hold active, or recently active, SC or DV clearance. This role also requires applicants to be willing to work on-site up to 4 days per week. At Gemba Advantage, we design and run secure, cloud native platforms for critical public sector organisations across the UK. Our teams build and automate the infrastructure and pipelines that high impact systems depend on. We're looking for experienced DevOps Engineers who want to shape modern delivery, lead technical decisions, and work with people who care about doing things properly. You'll help design and evolve cloud environments, improve engineering practices, and solve challenging problems alongside our customers.