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At Solve Intelligence, we're building the AI-powered infrastructure for the global Intellectual Property landscape. We need a visionary Full-Stack Engineer (Front-End Leaning) to define how humans interact with the next generation of AI. The Role You'll be joining the leanest, most talent-dense engineering team in London. Chat is a starting point, but it's not the destination. You aren't just building dashboards; you are inventing the UI/UX paradigms for AI-assisted legal work - interfaces that didn't exist 18 months ago. The Role: Full-Stack Engineer What you'll own The Interface of AI: Lead the design and development of our user interface, moving beyond simple chat to create intuitive, high-performance tools for complex IP workflows. Product Evolution: Rapidly prototype and ship features based on direct customer feedback from the world's top law firms. End-to-End Delivery: While front-end is your forte, you'll dive into the back-end to ensure features are seamless, robust, and deployed at pace. WYSIWYG Innovation: Own the integration and customization of advanced document editors (TinyMCE/CKEditor) to handle the heavy-duty drafting requirements of patent attorneys. Engineering Culture: As a founding hire, you will help set the bar for code quality, speed, and design excellence across the entire stack. About Solve Intelligence We're the fastest-growing startup transforming the IP industry. Traction: 20-30% MoM revenue growth; selling to 200+ global IP teams (DLA Piper, tech boutiques, and global enterprises). Proven Value: Users report 50-90% efficiency gains using our AI platform. Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries and others. Your Team You'll work directly with a founding team of AI PhDs and systems experts: Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired). Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute. Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard) Who You Are We are a high-performance culture of "hackers" and builders. Obsessed with Speed: You believe that shipping today is better than perfection next month. You iterate in days, not weeks. Human-Centric: You understand that world-class AI is useless without a clean, intuitive interface that people actually enjoy using. Extreme Ownership: You take pride in every pixel and every API call, ensuring a "five nines" level of reliability and polish. Driven & Humble: You are willing to go the extra mile (including the occasional late night or weekend) to ensure our users are blown away. ️ What You Bring Must-Haves: 5+ Years Experience: Professional experience building and scaling complex web applications. TypeScript/React Expert: Deep mastery of modern front-end frameworks and state management. Full-Stack Fluency: Comfortable navigating back-end systems and full-stack frameworks to get the job done. Product Intuition: A track record of turning vague user needs into concrete, beautiful UI. Preferred & Nice-to-Haves: Python Mastery: Experience with our back-end language of choice. Editor Expertise: Experience working with WYSIWYG APIs (TinyMCE, CKEditor, Prosemirror). Design Skills: Proficiency in Figma and a "good eye" for modern aesthetics. Database Knowledge: Comfort with Postgres and data modeling. What We Offer Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company. Founding Impact: You will have a direct hand in every product and architectural decision we make. Support: Full visa sponsorship and private medical insurance. The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team. Ready to build the face of the future of AI? Apply now.

Overview Alpha CRC is a dynamic translation and language services group, operating across multiple geographies and serving a diverse client base. With several businesses under our umbrella and offices in key global markets, we pride ourselves on delivering high-quality, culturally nuanced language solutions. We are looking for a skilled AI Engineer to design, build, and deploy AI-powered systems that enhance our products and operations. This role combines software engineering, machine learning, and practical problem-solving. You will work across the full lifecycle of AI development-from model integration and prompt optimization to pipeline deployment and monitoring. You will maintain high-quality code and evaluate the performance of the systems you develop. Tasks Implement multi-agent architectures using frameworks such as CrewAI to orchestrate complex AI tasks and workflows Fine-tune transformer models using techniques such as LoRA, PEFT, or supervised fine-tuning to improve performance on domain-specific tasks Evaluate model performance, run experiments, and optimize for accuracy, latency, and reliability. Design and implement endtoend AI pipelines (data ingestion, feature engineering, inference). Collaborate with cross-functional teams to define requirements and deliver AI solutions that meet business goals. Implement retrieval-augmented generation (RAG), prompt engineering, or agent-based architectures as appropriate. Maintain high-quality code through testing, documentation, and best practices. Monitor and troubleshoot production AI systems, ensuring high availability. Stay current with new AI frameworks, models, and tooling. Requirements Qualifications Required Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience) 3+ years of professional software development experience Strong Python programming skills Hands-on experience with machine learning frameworks: PyTorch, TensorFlow, Scikitlearn Experience working with LLMs, embedding models, or AI APIs (OpenAI, Azure OpenAI, HuggingFace, etc.) Knowledge of building and consuming APIs (REST, GraphQL) Experience with version control (Git) and modern development workflows Strong problemsolving and communication skills Preferred Experience fine-tuning large language models using HuggingFace or similar frameworks Experience running local models with Ollama or similar inference platforms Experience with RAG pipelines and vector databases (Pinecone, FAISS, Chroma) Background in NLP, computer vision, or deep learning Experience optimizing models for performance or cost (quantization, distillation) Benefits Hybrid working options Access to cutting-edge AI technologies and cloud environments Opportunities to shape AI strategy and build impactful solutions A supportive, collaborative, and innovation-driven culture Please submit your CV and a short statement of interest. Applications will be reviewed on a rolling basis.

Overview Great things are happening in the Europe and Australia (EUAU) region. Our 2,500+ colleagues bring their passion to offices, manufacturing sites, R&D center, and commercial/distributor markets across Europe, Australia, and New Zealand. With over 150 years of bringing people together with the food they love, our brands include Old El Paso, Häagen-Dazs, Nature Valley, Betty Crocker, Fibre One, Latina Fresh, and more. We are on a mission to become the undisputed growth leader in food for EUAU and seek people who share our love of food and are hungry to shape the future. About the Job Join our SAP Global Basis team, a highly collaborative global group responsible for the design, automation, and 24/7 support of General Mills' SAP infrastructure. In this role, you'll help ensure the reliability, performance, and scalability of critical SAP platforms that power our global business. Working in a modern cloud and automation-driven environment, you'll contribute to technical architecture, infrastructure optimisation, and system lifecycle management across SAP and its supporting applications such as Swift, Taulia, IQ NLS, and Content Server. This is an exciting opportunity for a technically curious engineer who enjoys solving complex infrastructure challenges, driving automation, and working with global teams to deliver resilient enterprise systems. What your role is As a key member of the SAP Global Basis team, you'll help maintain and evolve our global SAP landscape, ensuring high levels of system performance, availability, and operational excellence. You'll proactively manage SAP instances and HANA database clusters, identify performance issues, and implement improvements to keep systems running efficiently. You'll also design and implement infrastructure automation using tools such as Ansible and Terraform, applying infrastructure-as-code principles within our cloud hyperscaler environment. Working closely with architects, engineers, and external partners, you'll contribute to technical design decisions, SAP lifecycle strategies, and future system landscapes. You'll also play an important role in patching and upgrading SAP systems, supporting technology recovery strategies, and continuously improving operational processes. Beyond technical delivery, you'll collaborate across teams, mentor colleagues, and help strengthen technical standards and documentation across the organisation. As part of a global support model, you'll participate in periodic on-call rotations to help ensure the stability of our mission-critical platforms (approximately 3-4 weekends per year for 24x7, and 5-6 workweeks per year for 12x5). What you will bring to the team You bring strong experience in SAP Basis or HANA administration, with a deep understanding of enterprise infrastructure and the ability to troubleshoot complex technical issues. You enjoy working in collaborative global environments and are comfortable balancing operational stability with continuous improvement and innovation. You'll have 5+ years of experience managing SAP landscapes, along with knowledge of technologies such as Linux or Windows Server, HANA or other relational databases, and infrastructure automation tools like Ansible or Terraform. Experience working in cloud environments (ideally GCP) and supporting NetWeaver ABAP/Java systems will be valuable. Alongside strong technical capability, you bring excellent problem-solving skills, the ability to manage multiple priorities in a dynamic environment, and the communication skills needed to collaborate across global technical teams. What's in it for you? Work with Heart - offers us flexibility that also requires partnership to ensure we regularly come together in person for those moments that help drive our business forward. Our hybrid work policy means an average of 2 days per week in the office with the opportunity to finish at 15:00 on Fridays. Wellbeing - We want our people to feel well and thrive; we offer a free Headspace account for you and up to 5 friends or family members, ongoing activities, an Employee Assistance Program, and more. Bonus - Our people are at the heart of what makes General Mills great, so when goals are reached, you'll be rewarded through our bonus scheme. Health & Dental Insurances - All colleagues have the opportunity to join our insurances from day one. Family & Carers Leave - Every family is unique. Our approach allows every family to have the opportunity to spend quality time off to support them from birth or adoption to care, with enhanced covers. Enjoy other perks like enhanced pension contributions, subsidised canteen, access to both peer-to-peer recognition and discount platforms, 2 extra days for volunteering work, and more. COMPANY OVERVIEW We exist to make food the world loves. Our company prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine possibilities every day. We look for people who want to bring their best-bold thinkers with big hearts who challenge one another and grow together, because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.

OVERVIEW OF THE COMPANY Fox CorporationUnder the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking. JOB DESCRIPTION We are seeking a Senior Backend Engineer to join our Emerging Tech team and build the backend systems powering our multimodal AI platform. You will design and develop scalable APIs, services, and infrastructure that enable content discovery, semantic search, recommendation, and personalization capabilities across various media formats. A SNAPSHOT OF YOUR RESPONSIBILITIES Own backend services from content curation, to semantic search and content recommendation from design to production deployment Build and maintain microservices, cloud workflows and data pipelines that serve both internal editorial use-cases and consumer-facing applications Integrate with model serving endpoints, vector search APIs, and LLM inference services to power AI-driven features Build reliable, scalable cloud-native backend infra on multi-cloud platforms (GCP, AWS, Azure) with consideration for availability, performance, and cost Mentor junior engineers, conduct code and design reviews, and take ownership of code quality, test coverage, and documentation Collaborate with ML engineers, data engineers, and product leaders to craft end-to-end solutions Ensure all systems adhere to security best practices for compliance with Fox policies on data protection and user privacy Follow TDD/BDD approach with automated testing (unit, integration, end-to-end) practices to ensure quality WHAT YOU WILL NEED Proven track record of backend engineering experience working on production-grade systems in a product-focused organization. Strong programming skills in TypeScript and/or Python with solid computer science foundation in data structures and algorithms Experience designing and building RESTful APIs and microservices at scale Expertise in distributed systems design and architecture with focus on reliability and scaling Experience with various types of data processing and persisting solutions (Apache Spark, PostgreSQL, MongoDB, Redis, Kafka) Cloud platform experience (GCP preferred: Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Workflow, Firestore, AlloyDB, BigQuery) Experience integrating LLMs and other ML models serving endpoints Understanding of multi-modal embeddings, vector search, and various similarity/semantic search patterns Strong analytical and problem solving skills with ability to understand complex systems Experience with CI/CD pipelines, containerization (Docker), and infrastructure as code Ownership mindset with end to end responsibility for design, implementation, and production operation Excellent grasp of SDLC and agility methodology, well versed with challenges in developing and releasing a globally distributed team NICE TO HAVE, BUT NOT A DEALBREAKER Experience with AI platforms and ML model serving infrastructure (e.g., Vertex AI, SageMaker, or similar) Experience with media processing pipelines and delivery systems (e.g. new articles, episodes, blogpost, video, podcasts) Familiarity with vector databases and semantic search systems (e.g. pgVector, Opensearch/Elasticsearch, Pinecone) Experience with Google Cloud Vertex AI and other AI service (e.g. OpenAI, Anthropic Claude, ElevenLabs) Curiosity and enthusiasm for generative AI, LLMs, and Agentic workflows Open source contributions or active participation in the developer community Learn more about Fox Tech at We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

At Great Yellow we're looking for a Software Engineer (backend) to join our team. About the job We're building a new generation of tools to make complex environmental programme data simple, clear, and actionable, to help organisations accelerate nature recovery across the UK. To do this, we're looking for a backend-focused engineer, reporting to the Head of Engineering and working closely with the Product Lead and Senior Software Engineer. This role is hands on and impact heavy: designing and shipping APIs and services, shaping our data model, and building reliable pipelines that turn messy, multi source inputs into trusted information. You'll focus on delivery and execution while keeping a pragmatic 0 1 mindset. You'll thrive here if you like owning problems end to end, from design doc and prototype to production rollout and iteration. Expect a modern, cloud first stack (AWS/Cloudflare), strong use of managed/serverless services, and a collaborative culture that values small, fast, well tested changes. What you'll do Build the first version of our digital platform. Help build and ship an MVP that users can test, learn from, and help shape Lay the technical foundations. Help design and contribute to architectural decisions that works for today's needs and can scale as we grow Establish a trusted system of record. Integrate, harmonise, and curate internal and external data to power our platform Design and ship backend services and APIs. Implement reliable RESTful services (preferably TypeScript/Node.js with Python), and build secure integrations with third party data providers Own our data architecture. Design and iterate on data models and schemas; define data models and relational schemas (PostgreSQL) and support analytics/AI via warehouses/lakes where needed Build event driven data pipelines. Create robust ETL/ELT workflows and asynchronous processing using queues/message brokers Operate in the cloud with reliability. Deploy and run services on (primarily on Cloudflare, but also light use of GCP and AWS) using managed/serverless components, with security, monitoring, and cost efficiency baked in Collaborate and raise the bar. Work tightly with Tech/Product and peers, champion code quality, testing, documentation, and continuous improvement Requirements Experience: 4+ years of backend or data focused software engineering experience delivering production systems in fast paced environments, comfortable working in ambiguity, turning ideas into working software Skillset: Proficiency in backend development (preferably TypeScript/Node.js), designing and operating RESTful services and third party integrations Data: Strong data modelling and SQL skills with PostgreSQL; experience building end to end ETL/ELT pipelines and event driven processing using queues/brokers Cloud: Hands on cloud experience Versatility: Demonstrate versatility and adaptability in a fast paced startup environment, comfortable managing shifting priorities and contributing to foundational processes that are built to scale Communication: Communicate clearly with product and engineering peers, with the ability to translate business goals and product requirements into technical solutions Passion for sustainability and conservation finance, with a commitment to tackling climate change and biodiversity loss Locality: Based within commuting distance of London, with the ability to work 1 2 days per week from our central office if needed AI Fluency: Demonstrated ability to architect and deliver AI empowered product features (agents, tool use, orchestration, evaluation loops), staying current with emerging patterns and model capabilities Beneficial Skills BSc or similar in Computer Science or equivalent practical experience Knowledge of Domain Driven Design (DDD) principles Proficiency in a secondary scripting language such as Python Familiarity with infrastructure as code, security fundamentals, monitoring/alerting, and cost aware operations Familiarity with Graph Databases and Knowledge Graphs Experience with data warehousing solutions and ELTs Why Join Great Yellow? Be part of an innovative start up that's breaking new ground in finance and ecological restoration Engage in meaningful work with the potential to make a lasting impact on the planet Work alongside a passionate and diverse team in an environment that values flexibility, collaboration, autonomy, and growth Our culture is built on three principles: All for the Hive (shared leadership and collaboration), Shameless Ambition (raise the bar, speak directly), and Design the Future (think big, learn by doing, own it) We're big believers in flexibility - work where you do your best thinking - but we also value getting together in our office to share ideas (and coffee) Apply for the job Do you want to join our team as our new Software Engineer? Then we'd love to hear about you!

Staff Backend Engineer Location: London or New York City Onsite Full-time Compensation: competitive Our client is a high-performance technology development firm responsible for building and operating the infrastructure behind the world's largest and most active digital asset launchpads. Processing approximately $1B in daily volume, the platform operates at the bleeding edge of crypto scale, requiring systems designed for ultra-low latency, high throughput, and constant high-concurrency load. The organization is seeking a Lead Backend Engineer to own the most complex technical challenges across the system. This is a high-stakes, high-impact role within an intense, in-person environment. The team is composed of high-agency builders who value speed, immediate impact, and rigorous engineering judgment. This position is ideal for an engineer who thrives under pressure and is motivated by the opportunity to solve ambiguous, cross-cutting problems that others cannot. Key Responsibilities System Ownership: Take full accountability for the most difficult backend challenges, addressing performance bottlenecks, scaling limits, and maintaining system correctness under extreme load. Architectural Leadership: Set the technical direction for core backend systems, making principled architectural decisions that balance rapid delivery with long-term maintainability. Distributed Systems Design: Design, build, and operate high-stakes distributed services relied upon by a massive global audience daily. Problem Resolution: Proactively identify systemic issues and drive them to resolution, navigating ambiguity and cross-functional complexities. Engineering Excellence: Raise the bar for the backend engineering organization through rigorous design and code reviews, mentoring peers, and modeling elite engineering judgment. Qualifications Scale & Experience: Proven track record of building and operating distributed systems at significant scale multiple times. Technical Stack: Deep proficiency in Rust, Go, or TypeScript. Data Expertise: Extensive knowledge of databases and data modeling, including a sophisticated understanding of tradeoffs regarding consistency, performance, and reliability. Agency & Ownership: A high-agency, ownership-driven mindset with the ability to take ambiguous problems to concrete outcomes without needing constant direction. Problem Solving: A reputation for solving complex technical hurdles that have stalled previous efforts. Domain Knowledge: Previous experience in the crypto or blockchain space is considered a significant plus, though not a strict requirement. Work Style: Comfort with an intense, fast-paced, and unconventional work schedule. Our client operates primarily in-person. Unmatched Autonomy: Significant ownership over technical decisions and the freedom to drive impactful changes. Scale Exposure: Direct experience managing systems operating at the absolute edge of current crypto and financial technology scale. Immediate Impact: The ability to ship code rapidly and see real-world results and user interaction immediately. Compensation: Highly competitive package including Base Salary and Equity/Tokens ranging from $75K - $500K, commensurate with experience and impact. Commitment to Equality and Accessibility At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing .

Overview The Forward Deployed Engineer (FDE) at CrewAI is a pivotal, customer-facing role that bridges the gap between our cutting-edge AI technology and our clients' specific needs. We are looking for a hybrid technical expert and strategic consultant who can not only implement our solutions but also understand the business context to ensure successful integration, adoption, and value delivery. Key Responsibilities Technical Implementation & Integration Lead the technical integration of CrewAI's products into customers' systems, including API integrations, data pipelines, and custom workflows. Develop and maintain robust, scalable solutions tailored to client requirements, leveraging your expertise in Python and other relevant technologies. Troubleshoot complex technical issues during implementation and provide timely resolutions, collaborating with our internal engineering teams as needed. Client Engagement & Solution Design Act as the primary technical point of contact, thoroughly understanding the customers' business objectives and technical landscapes. Translate client needs into technical specifications and solution designs, ensuring alignment with CrewAI's product capabilities. Design and architect CrewAI-powered agent teams, assigning specialized roles and workflows tailored to client needs. Conduct technical workshops and training sessions for customer teams to facilitate product understanding and adoption. Collaborate with Customer Success Engineers and Support Engineers, to ensure customers' success and smooth operations Deployment & Optimization Deploy, configure, and optimize CrewAI-based multi-agent systems in production environments. Develop and integrate custom agents, tools, and processes using Python and CrewAI's open-source libraries. Monitor deployed solutions for performance, reliability, and business value, rapidly iterating on agent roles and workflows to adapt to evolving client needs. Qualifications & Desired Skills Proven experience in a customer-facing technical role, such as a Solutions Engineer, Sales Engineer, or Technical Consultant. Bachelor's degree in Computer Science, Engineering, or a related technical field is preferred. Strong proficiency in Python and experience with APIs and system integrations. Familiarity with AI/ML concepts and technologies, including AI agent frameworks and LLMs. Exceptional communication, presentation, and interpersonal skills. Knowledge of workflow orchestration, multi-agent systems, or distributed computing. Experience building GenAI solutions and knowledge of design patterns, RAG, and working with various databases (SQL, NoSQL) are a plus. Contributions to open-source AI agent projects or experience with human-in-the-loop systems is a significant bonus. Team Collaboration You will work closely with our Product, Engineering, Sales, and Customer Success teams to provide client feedback, resolve technical issues, support pre-sales activities, and ensure overall client satisfaction. Performance Metrics Your success will be measured by key indicators, including: Successful project implementations and high client satisfaction. Timeliness and effectiveness of technical support and issue resolution. The quality of your solution designs and documentation. Your contribution to product improvements through actionable client feedback.

About this role Are you interested in building innovative technology that shapes the financial markets? Do you like working at the speed of a startup, but want to solve some of the world's most complex problems? Do you want to work with, and learn from, hands-on leaders in technology and finance? At BlackRock, we are looking for Software Engineers who like to innovate and solve complex problems. We recognize that strength comes from diversity, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. With over USD $10 trillion of assets, we have an exceptional responsibility: our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial wellbeing. As a senior developer at BlackRock, you'll work for a leading financial company and be part of a team creating next-generation technology. What is Aladdin Engineering? Our development teams sit inside Aladdin Engineering. We collaboratively build the next generation technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and support millions of financial instruments. We perform risk calculations and process millions of transactions for thousands of users every day worldwide. Which team will you be in? You will be working as a key member of our core Private Markets technology team. Your team will be based in London and is part of the wider team responsible for engineering our cloud-first Private Markets platform using a microservice architecture. This platform supports hundreds of client businesses, managing and analyzing their portfolios. The team's focus is on building scalable, best of breed experiences, including incorporating AI into client facing applications. The team is very quickly moving to AI-enabled development, and you will be at the heart of that transformation. Being a member of Aladdin, you will be: Tenacious: Work in a fast paced and highly complex environment, Creative thinker: Analyze multiple solutions and deploy technologies in a flexible way. Great teammate: Think and work collaboratively and communicate effectively. Fast learner: Pick up new concepts and apply them quickly. Your Responsibilities Work closely alongside the Engineering Lead to deliver on the technical strategy for your team. Collaborate directly with colleagues across Private Markets and the wider Aladdin organization to build and deliver market leading software at pace. Deliver high efficiency, high availability, concurrent and fault tolerant software systems using API-First principles. Collaborate with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications. Design, develop, and implement secure, scalable, and reliable micro-services to deliver client-facing applications using a Java backend and React frontend. Optimize performance and reliability through continuous testing, debugging, and refinement. Stay abreast of industry trends and emerging technologies to drive innovation and maintain a competitive edge, with a particular focus on AI. Provide technical leadership and mentorship to more junior developers, fostering a culture of learning and growth within the team. Ideally, you should have A bachelor's degree in computer science, Engineering, or a related field. 4+ years of professional experience in Java development, with a focus on building client facing APIs or platforms Strong written and verbal communication skills, with experience managing and mentoring diverse teams. Knowledge of building applications using AI tooling and frameworks (e.g. LLMs, prompt engineering, vector databases). Experience integrating AI/ML services into backend systems and APIs. Familiarity with AI driven development practices and tools for code generation and testing. Strong proficiency in Java and related frameworks (e.g. Spring Boot, Hibernate). Some experience in React or similar, and modern JavaScript/TypeScript. Solid experience with object-oriented design and applying standard design patterns Experience designing, building, and deploying scalable microservices using API first principles with REST and/or gRPC. A strong appreciation for best practices, attention to detail, and building secure and stable systems. A collaborative mindset, with a drive to build high-quality software efficiently. Experience with API authentication and authorization mechanisms (e.g. OAuth, JWT). Handson experience with engineering tools such as Git, Maven, unit and integration testing frameworks, and mocking libraries. Excellent problem-solving skills and attention to detail. Exposure to Docker, Kubernetes, and cloud services in an enterprise environment is beneficial. Experience with message brokers such as Kafka a plus. A friendly, positive, and can-do attitude. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please : BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas. For more information visit Job Reference: VN2509 Department description The Technology Department delivers differentiation, scalability and security for the business. Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and support teams work in agile 'streams' aligned to specific business areas. Our other teams work enterprise-wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. The Software Development function creates and maintains applications, frameworks and other software components to deliver to business requirements. Developers conceive, specify, design, programme, document, test, and delivery bug fixes as needed to provide high quality software solutions. Each Development team is aligned to one of Marex's business divisions and works with a corresponding Business Technology and Application Support team. Role Summary The QA Automation Engineer proactively assists with the business stream Operations with increasing the quality of the systems they build and maintain. Working with QA, developers and stakeholders, the QA strives to improve system reliability, ensure fulfilment of business requirements, and prevent regression. All employees are expected to understand and comply with any Sarbanes Oxley operational requirements relevant to their role. Responsibilities Role specific Test automation: Design, build, and maintain automated test scripts and frameworks to reduce manual work. Shift-left integration: Collaborate early with developers and product managers to identify risks and define quality standards before writing code. CI/CD support: Integrate automated tests into continuous integration and deployment pipelines to provide rapid feedback on each code change. Technical Testing: Conduct specialized tests beyond UI checks, including API testing. Proactively investigating into performance/load testing, and database integrity verification. Defect management: Involves root cause analysis to help developers prevent bug recurrence. Process governance: Establish and maintain quality standards, documentation, and select appropriate testing tools within the QA team. Coaching: QAs and developers on test quality, automation best practices, and testing discipline. Requirement Analysis: Reviewing business requirements and user stories to ensure they are clear, complete, and testable. Defect management: Find, log, and track bugs using Jira, collaborating with developers to confirm fixes. Quality reporting: Preparing reports for stakeholders detailing the software's readiness for release. AI: Championed AI driven quality initiatives by leveraging Generative AI and NLP to automate the conversion of user stories into Playwright scripts, reducing script development time and increasing sprint velocity. All staff Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/ or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills and Experience Competencies Excellent verbal and written communication skills. A collaborative team player, approachable, self-efficient and influences a positive work environment. Demonstrates curiosity. Resilient in a challenging, fast paced environment. Excels at building relationships, networking and influencing others. Maintain a commitment to continuous professional development by acquiring proficiency in emerging tools and frameworks. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Attention to detail and a passion for driving up the quality of software. Skills and Experience - Essential Senior Level QA Automation Engineer Experienced in the configuration and implementation of a cross section of automated testing approaches and tools; unit, UI, browser, contract/API, performance/load, Playwright, Postman, Swagger etc. Experienced in following application(s) all beneficial: JIRA, XRAY, WIKI, Bitbucket cloud, AWS, Splunk, SQL, MongoDB Understanding of software diagnostic tools and testing methods (automation, smoke, functionality, usability, performance, regression, and user acceptance). Experience working closely with development teams and championing an automation first and shift left approach to quality control. Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. Agile and scrum development methodologies. Desirable Experienced with testing Post Trade system(s) Financial background Conduct Rules Act with integrity Act with due skill, care and diligence Be open and cooperative with the FCA, the PRA and other regulators Pay due regard to the interests of customers and treat them fairly Observe proper standard of market conduct Act to deliver good outcomes for retail customers Company Values Respect - Clients are at the heart of our business, with superior execution and superb client service the foundation of the firm. We respect our clients and always treat them fairly. Integrity - Doing business the right way is the only way. We hold ourselves to a high ethical standard in everything we do - our clients expect this and we demand it of ourselves. Collaborative - We work in teams - open and direct communication and the willingness to work hard and collaboratively are the basis for effective teamwork. Working well with others is necessary for us to succeed at what we do. Developing our People - Our people are the basis of our competitive advantage. We look to "grow our own" and make Marex the place ambitious, hardworking, talented people choose to build their careers. Adaptable and Nimble - Our size and flexibility is an advantage. We are big enough to support our client's various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction. Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.

London, United Kingdom Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands on delivery leadership - and who has a genuine passion for bringing AI solutions to production at scale. Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Manager in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflect that. Key responsibilities span the following areas. Engagement Leadership Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes. Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development. Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners. Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout. Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation. Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead. Business Development & Bid Support Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements. Contribute to proposal writing, articulating Baringa's capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs. Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow on engagement. Support practice level growth initiatives, including account planning, capability development, and go to market positioning for AI and solutions engineering services. Technical Architecture & Delivery Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities. Provide hands on technical direction where required - reviewing designs, code and delivery artefacts to maintain quality standards across the engagement. Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof of concept thinking to real business impact at scale. Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record. AI/ML Specialism You will bring expert level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End to end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit learn, PyTorch, XGBoost) and cloud native ML services (SageMaker, Azure ML, Vertex AI). Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event driven architectures and CI/CD. Track record of delivering production Python services and APIs; working knowledge of cloud native application patterns and release practices. Software Engineering Production grade Python services (FastAPI, AWS Lambda, event driven patterns) and front end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade offs - relational, NoSQL, graph and caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware leader who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role - including direct accountability for end to end engagement delivery, resourcing and commercial outcomes. Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs. SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud, data and AI domains. Proven ability to build and lead high performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director level. Clear, confident communicator - able to make the complex accessible for technical and non technical audiences alike, and to represent Baringa's expertise with credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Desirable: prior experience as a forward deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people first culture that values both technical rigour and human connection we would love to hear from you. All applications received will be reviewed by a member of our Talent Acquisition team . click apply for full job details

About the Role Grade Level (for internal use): 11 The Structured Finance (SF) team develops and maintains quantitative criteria, models, and tools that support credit rating and research across ABS, RMBS, CMBS, and structured credit. The team values technical rigor, timely delivery, and close collaboration with Methodologies and Ratings Technology to produce transparent, repeatable outputs used by global analysts. The role provides practical quantitative and technical support that improves the efficiency, transparency, and consistency of credit analyses and research. Deliverables will be used by analysts and SMEs to inform rating decisions and maintain operational reliability of models and tools. The role plays a significant part in initiatives to improve structured finance modeling efficiencies while enhancing the knowledge and skill base of the organization. What's In It For You Deliver tools and analyses that directly support rating decisions and research across global teams Build production-quality scripts, dashboards, and integrations while expanding practical experience with C++, Python, R and SQL Work with Methodologies, Ratings Technology, and Validation and mentor junior developers Deepen practical knowledge of structured finance securitizations and credit risk modeling Build relationships with peers outside of your team and function and be called upon by senior staff to advise on complex issues using an analytical perspective Responsibilities Develop, maintain, and deploy user focused quantitative tools, scripts, and dashboards to support credit analysts, following specifications from SMEs Integrate models, data, and visualizations into reliable applications that support day to day analytical workflows Analyze and synthesize datasets to produce actionable inputs, reports, and validation ready outputs with particular focus on structured finance securitizations Produce clear development documentation, test cases, and specifications; collaborate closely with Model and Criteria Validation to address feedback Troubleshoot and resolve technical issues for non routine problems, escalating complex or ambiguous matters to senior SMEs Identify and implement incremental improvements to existing tools and processes that align with business needs Coach and guide junior developers on technical tasks and best practices; support criteria projects by assisting with tool development, testing, and data gathering All employees are required to work from the office a minimum of 2 days per week Basic Required Qualifications 3-5+ years of experience in quantitative modeling or software development supporting financial analysis Bachelor's degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics, or a related field Hands on C++ experience is a core requirement for this position Proficiency in quantitative programming languages such as Python and R (experience with R Shiny preferred); solid SQL skills and familiarity with relational databases Experience delivering reliable scripts, tools, or dashboards into production like environments Working knowledge of structured finance securitizations and capital markets concepts; able to apply domain knowledge to support model inputs and analyst workflows Clear written and verbal communication; able to explain technical concepts to analysts and peers Proven ability to work in cross functional teams and follow direction from senior SMEs All candidates who reach the final stage of our interview process must attend at least one in person interview at the nearest S&P Global Ratings office before an offer can be extended Additional Preferred Qualifications Master's degree or advanced quantitative certification Prior experience building interactive Shiny applications or similar dashboards Familiarity with cloud environments and deploying analytical tools into production Experience with structured finance modeling methodologies and securitization analysis Compensation/Benefits Information The anticipated base salary range for this position is USD 101,000 - 122,000, depending on location, experience, and skills. This role is eligible for an annual incentive plan and additional S&P Global benefits. Right to Work Requirements All successful candidates must be authorized to work in the country where this position is located. S&P Global will not sponsor work authorization for this position. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. Accommodation for Applicants with Disabilities If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person.

Job Purpose We are looking for a recent graduate or Junior C++ Developer to join the Retail Technology Team. The team focuses on the development and enhancement of our retail platform supporting our extensive network of shops and self-service betting terminals. You will be working on customer facing applications implementing user interface designs, developing business logic and integrating with hardware. This role will develop your skills in C++ and the Qt framework and give hands on experience of modern software development practices. Job Duties Knowledge of implementing software solutions that align with team goals, product requirements,and established architectural patterns, under the guidance of senior engineers and Tech Leads. Knowledge of writing clean, maintainable code and improving code quality through practices such as refactoring, pair programming, and learning outside-in development techniques. Knowledge of strong engineering practices, including test automation, CI/CD pipelines, and basic performance and reliability considerations. Knowledge of data storage concepts, including SQL or NoSQL databases, caching, and basic database design principles. Knowledge of clear, minimal technical documentation such as READMEs, API usage notes, and basic runbooks, with guidance from the team. Knowledge of building resilient systems and understanding how software behaves when things go wrong. Awareness of performance, scaling, and reliability concepts and how they influence system behaviour. Awareness of monitoring, observability, and availability tools to understand how systems behave in production. Awareness of long term system evolution, including technical debt, obsolescence, and future improvement opportunities. Awareness of modern release practices and deployment strategies used within the organisation. Awareness of design discussions and technical planning, learning how features are broken down and implemented effectively within the team. Participating in incremental delivery using Agile practices, learning how flow, feedback, and metrics support continuous improvement. Learning and applying agreed system design patterns, technical standards, and best practices within the team. Knowledge, Skills and Experience Essential Experience of C++ 20 or later (Final year project or work experience) Desirable Domain based systems design Working in a product organisation AI within the SDLC Qt/QML 6 Network technologies What is in it for me? A competitive rate of pay and pension contribution ( £25,000 to £35,000) Generous discretionary bonus schemes, incentives and competitions An annual leave entitlement that increases with length of service Access to an online GP 24/7, 365 days a year for you and your immediate family. Employee wellbeing support through our Employee Assistance Programme Enhanced Maternity & Paternity Pay Long Service Recognition Access to a pay day savings scheme, financial coach and up to 40% of your earned wage ahead of payday, through Wagestream.

About the Position As a Staff DevOps Engineer you'll take the lead in building and maintaining the cloud infrastructure that powers our products. You'll be responsible for architecting, implementing, and optimizing scalable, secure, and high performance systems that support a dynamic and fast growing tech stack - from React and Next.js applications to Python data pipelines, orchestrated across a complex AWS ecosystem. This role combines traditional DevOps responsibilities with a strong focus on Release Engineering and infrastructure governance, ensuring reliable and scalable software delivery as we grow. You'll work closely with cross functional teams, including engineers and product managers, to streamline development workflows, improve deployment reliability, and ensure system resilience and observability. As the team scales rapidly, you'll play a key role in defining infrastructure standards, best practices, and policies that enable engineering teams to move fast while maintaining stability and security. You'll also play a key role in driving information security and compliance initiatives across infrastructure and operations, ensuring that our systems are built with security and regulatory readiness from the ground up. This role is remote in UK. What you'll be doing Design and maintain AWS infrastructure using best practices (e.g., IaC, security, cost optimization, monitoring). Define and implement infrastructure standards, policies, and governance (e.g., IAM, group permissions, access control). Develop, operate, and improve CI/CD pipelines using GitHub Actions and other tools to support fast and safe deployment of our applications and services. Collaborate with engineering teams to define infrastructure requirements and help shape deployment strategies for frontend and backend applications. Proactively monitor system performance, availability, and reliability. Implement observability tooling and incident response processes. Automate provisioning, scaling, and recovery of infrastructure using tools like Terraform. Identify and resolve infrastructure bottlenecks (e.g., database scaling, system performance constraints). Lead initiatives around infrastructure security and compliance, including access control, vulnerability management, secrets management, encryption, and audit readiness. Ensure systems meet relevant security and compliance standards (e.g., ISO 27001, SOC 2, GDPR), and support internal and external audits. Mentor engineers on DevOps best practices, advocate for clean and scalable infrastructure design, and help build a strong engineering culture. Qualifications Proven experience in a DevOps, Site Reliability, or Infrastructure Engineering role, ideally in a startup or product focused environment. Deep expertise in AWS services (EC2, ECS, Lambda, RDS, S3, IAM, SQS, SNS etc.) and cloud native architecture. Strong experience with CI/CD tools and practices, ideally GitHub Actions. Proficiency with infrastructure as code tools (Terraform) and scripting languages (Python, Bash). Familiarity with containerization (Docker) and orchestration (ECS/EKS/Kubernetes). Solid understanding of networking, security best practices, and system performance monitoring. Experience implementing and managing security controls and compliance requirements (e.g., ISO 27001, GDPR, SOC 2), including hands on work with identity management, encryption, and audit logging. Experience supporting modern web stacks, especially applications built with React, Next.js, and Python based services.

Frontend Engineer - Full Stack London / Hybrid 3 days per week We're building a modern technology platform that applies data engineering and AI to a problem with real global consequence: proving trust and transparency in supply chains. Our work helps protect people from exploitation, gives brands and producers confidence in what they sell, and supports more sustainable choices for the planet. From a tech perspective, this is greenfield - designing scalable, cloud-native systems and AI-driven products that turn complex data into evidence customers can stand behind. You'll be working on hard, meaningful problems, with real ownership, close collaboration with product and leadership, and the opportunity to shape both the technology and the impact it delivers as we scale. We're a global team across London, Auckland, Singapore, and Washington D.C. The Role This is a high-autonomy, high-impact individual contributor role. You'll work across the full stack - building robust modern React frontends, and Python backend services - while maintaining and modernising the core platform at the heart of our product. You'll also be a hands on practitioner of AI assisted development, using Claude Code, Cursor, and agentic workflows daily as a genuine productivity multiplier. Key Responsibilities Own the reliability and performance of core production systems - reducing toil, improving observability, and keeping things running well. Build modern, responsive user interfaces using React (TypeScript). Build and maintain scalable backend services and APIs in Python (Django or FastAPI). Diagnose and fix issues across the full stack. Lead incremental upgrades, refactors, and migrations that reduce risk and unlock new platform capabilities. Use AI assisted development tools (Claude Code, Cursor, or equivalent) daily and help others do the same. Build agentic workflows that amplify the wider engineering team's productivity. Collaborate across time zones with peers in Auckland and London on incidents, releases, and architecture. Mentor junior and mid level engineers through technical challenges. Skills & Experience Essential Proven track record delivering and running production systems at pace, with strong operational instincts (incident management and observability). Strong frontend experience with React (TypeScript). Python backend experience with Django or FastAPI. Solid SQL and database skills - schema design, query optimisation, migrations. Active daily use of AI assisted development tools; you have opinions on how to use them well and can teach others. Experience working effectively across distributed teams and time zones. A bias toward simplicity, clear communication, and working in the open. Desirable Familiarity with LLMs or agentic systems in production. Experience with event driven architectures (Kafka, Azure Service Bus). Data engineering concepts: ETL/ELT pipelines, Databricks, or Azure Data Factory. Background in regulated or data sensitive environments. Company Benefits Paid Leave- 35 days (inclusive of public holidays) + your birthday off Volunteering Leave Allowance Enhanced Parental Leave Life Insurance Healthcare Cash Plan Employee Assistance Programme (EAP) Pension Monthly Wellbeing Allowance Breakfast, Snacks, Friday lunch & Barista Coffee Machine in the office Learning Portal with over 100,000 assets available to support professional development

Disguise sits at the heart of the most inspiring live and virtual experiences in the world, leading the market in building a software and hardware solution that designs, sequences and controls the most spectacular productions across film and TV, broadcast, live and corporate events. Role: Senior Full-Stack Developer (Cloud) Department: R&D Reports into: Head of Software Location: London, Hybrid ABOUT THE ROLE Disguise is seeking a Senior Full-Stack Developer to join our growing Cloud Services team - a fast-moving group building the next generation of Disguise Cloud products. You'll play a key role in designing and delivering powerful cloud-based tools that integrate tightly with Disguise's ecosystem, supporting some of the world's most ambitious live events and immersive experiences. We're looking for someone who can hit the ground running - a confident engineer with deep backend experience (Django, Laravel, and/or Rails), strong frontend expertise in Vue, and experience building interactive 3D applications using Three.js. If you enjoy solving complex problems, building production-grade systems, and collaborating across disciplines, this role is for you. WHAT YOU WILL DO Lead development of a cutting-edge 3D modelling and editing tool built with Three.js, used to simulate and analyze immersive visual experiences for global live events. Architect and build scalable APIs and backend services across multiple platforms and technologies. Design robust, high-performance database solutions with strong optimisation practices. Develop and maintain Vue-based UI controls and components that expose powerful features to end users. Collaborate closely with other engineering teams across the organisation to integrate systems and share expertise. Conduct thoughtful code reviews and maintain high standards for quality and reliability. Support customer-facing teams by troubleshooting issues and responding to internal and external support requests. Assist with debugging, performance tuning, and production deployments. Break down large features into manageable, well-scoped tasks and drive them to completion. ABOUT YOU You're a senior-level engineer who combines strong technical depth with product curiosity and ownership. Required Skills & Experience 5+ years of professional software development experience Strong backend expertise in Django, Laravel, and/or Rails Strong frontend expertise in Vue Hands on experience with Three.js Deep understanding of REST APIs (public and private), including OpenAPI specifications and documentation Experience working with AWS based stacks and associated tooling for testing, documentation, and deployments Proficiency with Git (branching, pull requests, code reviews) Experience using tools like JIRA, GitHub, ProductBoard, or similar Excellent written and verbal communication skills (English required; collaboration with UK and Canadian teams) Experience integrating AI workflows into daily development practices without compromising engineering standards How You Work You hold yourself - and your teammates - to a high standard when working with production systems. You write clean, thoughtful, maintainable code and pay close attention to detail. You enjoy solving complex technical problems with curiosity and persistence. You're comfortable navigating ambiguity and multiple moving parts. You think beyond implementation - you care about what the product should do and how to make it better. You thrive in remote, distributed teams and can work independently while communicating effectively. Nice to Have Experience with distributed systems and containerised deployment, especially in the world of cloud media Experience with Electron or similar native application frameworks built on web technologies Familiarity with C++ (not required, but helpful for cross team collaboration) Experience in live events, film, production, or entertainment industries Tailwind CSS experience and a strong eye for design and UX About Disguise Disguise is the industry-leading platform sitting at the heart of a new era of visual experiences. One powerful integrated system of software, hardware and services to help create the next dimension of real time spectacle. We partner with the biggest entertainment brands and companies in the world to deliver the A list of live music events, live TV broadcasts, immersive experiences, installations, theatre, film and TV production, corporate communications and brand product launches. Working with Disney, Snapchat, Netflix, ESPN, the Burj Khalifa, and Adele, Disguise is the number one partner delivering the next dimension of entertainment. Innovation comes from everyone. We strive to create a workplace that reflects our diverse audience. We celebrate our people for their full authentic selves, and embrace uniqueness. Inclusion and Equity matter at Disguise. We create together and we create everywhere. Our values Honest. We are real with ourselves and our clients and share our ideas with openness and transparency. Evolutionary. We innovate using our user's ever changing needs so our technology remains ahead of the game. Fearless. We take the best path, not the easiest, and innovate where it's right, not where it's simplest. Resilience. We don't give up until we find the right solution, even if it means going outside our remit. Belong. We create an environment where everyone feels like they belong and is empowered to do their best work. We have a suite of globally relevant competitive benefits packages as we want to make sure we retain the best talent out there. Our benefits for every perm hire, globally include: Unlimited Paid Time Off - with minimum time you must take set at 20% above statutory Hybrid working between home and our offices (dependent on role and location) Mental health and wellbeing support - subscription to the Calm app, mental health first aid buddies, employee assistance programmes Gig allowance - £400 (or local equivalent) to spend on tickets every year to immerse yourself in our industries Belonging policies - including (but not limited to) support for Parental, Fertility, Miscarriage, Menopause and Transitioning Training, coaching & mentoring