7243 jobs found

Implements end-to-end features across application and data layers with growing autonomy. Designs data models for common patterns (including star/snowflake for analytics), optimizes queries, and debugs performance issues. Leverages the company Application Express and PL/SQL where appropriate; adds telemetry to track usage, conversion, and latency. Applies secure coding practices, reviews peer code, and improves documentation of service contracts.Only the company brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request\ or by calling 1- in the United States. the company is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. the company will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Key Responsibilities Data Systems Software Development: Deliver end-to-end features spanning application services and the company Database data models (including star/snowflake patterns). Diagnose and improve query and API performance affecting user experience and service-level agreements. Introduce controlled experiments (A/B tests) with clear success metrics and data collection plans. Designs existing and new services. Software Development and Coding - Design, Testing, and Optimization: Designs software solutions and analyzes and helps identify requirements to achieve business and operational goals, independently. Adheres to and suggests improvements to all phases of the software development lifecycle. Utilizes working knowledge to develop new software features and enhancements following design specifications and develops documents to clarify software design and code. Leads code reviews in designated areas to help drive improvements. Conducts debugging and troubleshooting to identify and fix moderately complex software issues. Develops fixes for identified issues. Implements software testing (e.g., functional and non-functional testing), quality assurance processes, software error logging, monitoring, and observability for effective debugging, ensuring review by manager and/or lead throughout the process. Exercises judgment and discretion to conduct performance profiling and optimization of coding. Troubleshoots and resolves moderately complex issues related to application programming interface (API) functionality and integration. Implements moderately complex API versioning, lifecycle, and interoperability strategies. Software Architecture - Software System Structural Design: Designs and develops software, systems, and services aligned to pre-defined system architecture. Develops working knowledge of software architecture decisions and best practices. Collaborates with team leads to review work to ensure alignment with software architecture. Implements moderately complex performance optimization and scalability strategies in software design. Issue/Defect Collaboration - Software Products Support: Collaborates within and beyond immediate team to understand customer issues and align solutions. May provide technical guidance and support to customers regarding customer-reported issues, independently. Coaches, mentors, and guides others to advocate for customers' interests and suggests product enhancements based on feedback. Influences team to ensure customer satisfaction through timely resolution of issues and effective communication. Implements customer issue and/or defect handling and training processes, independently. Investigates and troubleshoots complex product maintenance issues to ensure customer agreement on short- and long-term solutions (e.g., future enhancements). Practices and Standards Compliance - Security and Compliance: Collaborates with the team to establish and follow development practices and coding standards. Exercises judgment and discretion to ensure code quality and adherence to broad acceptance criteria during development. Keeps up-to-date with industry best practices and applies them to software development processes. Implements secure coding practices to prevent security vulnerabilities. Development Operations - System Maintenance: Performs periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities). Exercises judgment and discretion to drive improvements, ensure automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability. Core Responsibilities Planning \& Execution: Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements. Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency. Collaboration \& Partnership: Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others. Problem Solving: Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices. Continuous Learning: Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members. Continuous Improvement: Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work.

QCP Group in the United Kingdom seeks a senior technical professional to design, architect and build enterprise systems that power our trading, operations and risk workflows. You will influence architecture decisions and shape scalable software foundations. You will develop tools, reports and data feeds to meet business requirements, own software quality and resiliency, and collaborate with heads of business lines and front-office teams across geographies to deliver robust solutions.

Vfast Senior Solutions and Infra Engineer Full-time Permanent Mid-level Senior Posted 22 Jul 2026 Description VFASTSenior Solutions and Infra Engineer Role Reports to:Group Operations Director Location:Office based with regular travel to operational sites as required Role Purpose The VFAST Engineering Standards & Assurance Lead is responsible for defining, governing and continually improving the engineering standards that underpin the VFAST network. Acting as the technical authority forVFASTEngineering, the role ensures every deployment, maintenance activity and infrastructure change is delivered consistently, safely and to the highest quality standards. Working closely with Engineering, Projects, Service Delivery, Commercial and Service Desk, the role provides technical governance, project support, quality assurance and operational planning while driving continuous improvement across the engineering function. This is an in-house operational engineering role focused on owning how engineering is delivered rather than directly managing engineering teams. Living Our Values Pace Delivers practical improvements that increase engineering efficiency without compromising quality. Supports rapid delivery through clear standards and repeatable processes. Champions engineering quality, governance and technical best practice. Sets the benchmark for consistent, high-quality engineering delivery. Together Partners with Engineering, Projects, Service Delivery, Commercial and Service Desk to achieve shared outcomes. Builds collaborative ways of working that strengthen the entire engineering function. Key Responsibilities Own and maintain engineering standards, build specifications and installation methodologies. Define standard designs, documentation and technical working practices. Ensure consistency across all park deployments, maintenance activities and infrastructure upgrades. Own engineering documentation, technical standards and operational procedures. Review emerging technologies and incorporate improvements into engineering standards. Quality Assurance Own the engineering quality assurance framework. Conduct technical audits and quality inspections across installations and maintenance activities. Review completed works to ensure compliance with engineering standards. Identify recurring quality issues and implement corrective and preventative actions. Develop quality metrics and reporting to drive continual improvement. Technical Authority Provide technical governance across engineering and infrastructure projects. Review and approve technical surveys, network designs and implementation plans. Provide final technical sign-off for complex installations and infrastructure changes. Support engineering teams during technically challenging deployments. Act as the escalation point for engineering standards and technical best practice. Maintenance & Operational Planning Own preventative maintenance standards andassist withmaintenance programmes. Develop lifecycle replacement plans for infrastructure and field equipment. Define maintenance priorities based on network risk and operational performance. Ensure maintenance activities are planned to minimise customer impact. Continually review operational data to improve network reliability and resilience. Project & Delivery Support Support project teams throughout design, planning and implementation. Review technical solutions for feasibility, scalability and operational supportability. Ensure projects transition successfully into operational service. Produce engineering guidance for new products, technologies and deployment methods. Support acquisition integrations and network standardisation programmes. Operational Excellence Define and continually improve engineering processes and workflows. Drive standardisation and simplification across engineering operations. Identify opportunities for automation and improved operational efficiency. Develop engineering KPIs, quality dashboards and performance reporting. Ensure engineering documentation remains accurate, current and accessible. Act as the engineering representative for Service Delivery, Projects, Commercial and Service Desk. Support planning for major park deployments and strategic infrastructure programmes. Work with Network Engineering to ensure operational standards align with core network architecture. Collaborate with Learning & Development to ensure technical standards are reflected in engineer training and competency frameworks. Health, Safety & Compliance Ensure engineering standards comply with Health & Safety legislation and company policies. Embed Safe Systems of Work into all engineering standards and procedures. Support internal audits and regulatory compliance activities. Ensure engineering governance aligns with ISO standards and company quality management processes.

About the practice At Atos, we are looking to hire a System Integration Lead Architect to join our Business Process Services (BPS) organisation, delivering end-to-end digital transformation programmes for some of the UK's leading organisations. As part of this role, you will support a large-scale pensions platform transformation, migrating from a legacy mainframe-based system to an Atos-managed pensions platform (Sapiens Consolidation Master). Alongside this, we are developing a modern, internet-facing customer portal to replace key elements of the existing platform. These initiatives form part of a broader System Integration (SI) programme, where you will provide end-to-end technology leadership, ensuring the safe, controlled, and high-quality delivery of this complex transformation. The role spans programme delivery, testing, data migration, stakeholder management, operational services, and release governance, with full responsibility for technical architecture and delivery. Where purpose meets career Lead a senior, high-impact role within a large-scale transformation programme, driving end-to-end system integration Accelerate your career development through complex delivery, leadership exposure, and growth opportunities within Atos Join a globally recognised, trusted brand, with access to internal mobility and long-term career opportunities across Atos Key Responsibilities Provide end-to-end technology leadership across the System Integration programme (Heritage & Portals) Define and enforce architecture, engineering, and integration standards across delivery teams Lead large-scale migration and transformation activities, including development, testing, and data migration Establish and maintain governance frameworks for technical architecture and change management Act as the senior technical representative in stakeholder forums, engaging with client leadership and partners Skills we can't do without Proven experience leading large-scale system integration and transformation programmes Strong background in enterprise architecture and complex application delivery environments Experience within Financial Services or regulated environments Demonstrated capability in technical governance, stakeholder management, and delivery leadership Hands-on expertise in migration programmes (legacy to modern platforms) Skills we'd like Experience with Sapiens Consolidation Manager / Pensions Management Platforms Knowledge of Pega platforms or similar CRM/workflow technologies Additional Requirements Candidates must be eligible to obtain and maintain BPSS clearance. Location: Hybrid working model, with up to 3 days per week on-site in Edinburgh required. 25 days paid leave + National Holidays Pension Scheme - contributions matched up to 10% Private Medical Cover Income Protection Life Assurance Flex Benefits Program We are a care leaver friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated email. As a Disability Confident employer, we encourage applications from all applicants, especially differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to make reasonable adjustments to the application and assessment process to accommodate your needs. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.

"At" Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work. Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade - wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively. Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We're looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication. A hands-on building role: taking AI features from idea to shipped, working software quickly, inside real products that real businesses depend on. You design prompts, manage context, integrate models, build evaluations and handle the plumbing and the polish - all of it. Crucially, most of this work happens in established C# .NET codebases, not greenfield projects. Klipboard's products have been earning their keep for years, and the job is landing modern AI capability inside them cleanly, without breaking what already works. Fast matters here, but fast with evidence - every AI feature needs evaluation behind it before customers see it. We would rather you shipped something measured and honest this sprint than something perfect next quarter. Key Responsibilities: Role Accountabilities Build AI features quickly and properly - from prompts and context design through to full LLM integration in established C# .NET codebases. Make them production-grade - error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer. Stay sharp and share as you go - keeping up with a fast-moving space and spreading knowledge through code, examples and conversation. Key Activities and Contributions Design and build prompts, context strategies and LLM integrations for product features, in domains where a confidently wrong price, part match or stock answer is worse than no answer. Work primarily in C# .NET, integrating AI capability into established codebases through clean service boundaries, sensible abstractions and respect for the code that is already there. Move fast on real deadlines - prototype in days, harden in weeks, and know the difference between a corner that can be cut and one that cannot. Build evaluation alongside the feature, not after it - test against real business cases, measure quality honestly, and let the numbers settle arguments. Handle the unglamorous parts well: error handling, fallbacks when a model misbehaves, latency, token cost, logging and monitoring. Work with the engineers who own each codebase, fitting in with their patterns and pipelines rather than parachuting in something nobody else can maintain. Keep up as models, tools and providers change, and choose pragmatically on quality, cost and latency rather than habit. Share what you learn with engineers around you through code, examples and conversation. Work with product managers, product owners and subject matter experts to understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and Technology C# .NET (primary development language) AI coding tools: GitHub Copilot, Cursor or equivalents Prompt engineering and context design patterns Retrieval-augmented generation (RAG), vector search, embeddings (desirable) Evaluation frameworks and automated quality pipelines for AI outputs Technical and Professional Expertise Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Core Responsibilities and Contributions Deliver AI features end-to-end: from requirement understanding through to shipped, evaluated product capability. Maintain production-grade quality: error handling, fallbacks, latency management, logging and monitoring - an AI feature is production software, with extra ways to fail. Care about accuracy, safety and data handling - customers run their businesses on the answers our software gives them. Leave things better documented than you found them, so the next engineer can pick up your work without an archaeology project. Prototype fast, harden properly, and know the difference between a corner that can be cut and one that cannot. Customer Experience Ensure AI features deliver accurate, trustworthy answers - a confidently wrong price, part match or stock answer is worse than no answer at all. Understand the business problem behind each feature, not just the technical solution. Work with product managers and subject matter experts to ensure AI capability genuinely serves customer needs. Key Outcomes and Activities AI capability shipped into at least one established product with evaluation behind it within the first six months. Something built has gone from idea to customers in weeks, and held up in production. Evaluation results have changed at least one decision, including, ideally, killing something that was not good enough to ship. Engineers around you have picked up techniques from your work, even though teaching is not your primary job. You can explain the business problem behind each feature you have built, not just the technical solution. Bias to action - would rather build the small version today and learn from it than plan the big version for a month. Honest about quality - measures, shows working, and does not ship something they would not stand behind. Respectful of existing code and the engineers who maintain it - established systems are established for a reason, and working well within them is a skill you are proud of. Curious about the trades Klipboard's customers work in, because domain detail is where the good prompts come from. Comfortable with change - the tools will look different in six months, and that suits you fine. Additional Responsibilities (as aligned to company job architecture) Leave documentation in better shape than you found it so the next engineer can pick up your work without needing to ask. Contribute to shared knowledge and engineering standards as the team's AI practice matures. Key Relationships (Internal and external) Internal Product managers and product owners (requirement understanding and feature scoping) Engineering teams who own the established codebases you build into Subject matter experts in Klipboard's product verticals (distributive trades, rental, automotive) Senior Applied AI Engineer and R&D engineering leadership External LLM platform and tooling providers (as needed) Required Qualifications and Experience Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Preferred Qualifications and Experience Retrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings. Experience with LLM APIs across more than one provider, with a feel for their trade-offs. Exposure to any of Klipboard's sectors: distributive trades, rental, retail, automotive aftermarket parts or garage management. Experience modernising or extending long-lived systems, in .NET or elsewhere. Familiarity with evaluation frameworks, test datasets or automated quality pipelines for AI outputs. Klipboard is embracing AI at pace across our products and ways of working. We're looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes . click apply for full job details

Overview Founders Factory builds and funds startups together with exceptional entrepreneurs and the world's leading companies. Headquartered in London and operating globally, Founders Factory backs visionary founders with capital, dedicated support from a team of expert operators, and unrivalled access to a coalition of industry leading corporate partners. Since 2015, FF has backed 450+ portfolio companies helping them to secure over 500 enterprise pilots with blue chip corporate partners such as Aviva, Vonovia, Rio TInto, and HSBC. Our Studio partners with entrepreneurs at day one, developing new ideas, technologies and business models into high growth companies. About the Venture The insurance industry is stuck in a legacy loop. Today, finding and deploying underwriting capacity is slow, opaque, and wildly inefficient-especially for new MGAs and insurtechs. We're here to change that. Konduit is building the rails for real-time insurance capacity allocation. Think Stripe for underwriting capital. We connect innovative MGAs with insurers via a standardized, intelligent platform, cutting deal times from 12 weeks to just 1, and transforming underwriting from a manual bottleneck into a dynamic marketplace. Backed by Aviva and incubated by Founders Factory, Konduit has a built-in unfair advantage: unrivalled industry credibility, access, and insights from inside the machine. We're at the start of a category-defining journey and we're hiring our founding team to help shape the future of insurance infrastructure. About the Role As Tech Lead / Founding Engineer, you will define the architecture, build the core platform, and shape the long-term technical vision of the company. You'll work directly with the CEO across product, strategy, and commercial execution - while writing production code and shipping fast. You won't just build the product. You'll build the technical foundation of the company. What we're looking for Demonstrated ability to deliver product in a tech startup environment Experience integrating third-party data providers and APIs in production environments Experience working with complex data models and multi-party workflows Experience across full-stack web development, data analysis and applied AI Appetite for experimenting with new technologies and tools to drive innovation and creativity. Experience building products in regulated or highly structured industries (e.g. insurance, fintech, payments, health, govtech) would be a big advantage Familiarity with compliance-aware system design (auditability, permissions, data lineage, security-by-default) Exposure to marketplace, platform, or workflow orchestration systems Prior experience as an early or founding engineer at a startup Responsibilities include Architecting and building the core Konduit platform Delivering MVP and onboarding early customers Feeding into product strategy and commercial goals to identify opportunities to quickly deliver customer value Establishing engineering best practices, infrastructure, and security foundations Developing the Konduit canonical data model that underpins our platform Integrating external data sources to power an intelligent allocation layer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Corporate Global Tax Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Job responsibilities Design, develop, and implement cloud-based applications and services. Collaborate with architects and engineers to ensure design solutions are aligned with business goals. Optimize applications for performance, scalability, and security. Participate in code reviews and provide constructive feedback to peers. Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Experienced in cloud development (AWS), with a focus on application design and development. Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AI Advanced in Java and Python Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience building RESTful APIs and working with event-drivenorserverless architectures. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience in Infrastructure as code (IAC) such as Terraform or equivalent Preferred qualifications, capabilities, and skills Experience in automation in any scripting languages. Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases. Familiarity with containerization technologies such as Docker and Kubernetes. Experience with building out loosely coupled software and familiarity with SOA/Microservice architectures

Responsibilities Serve as the technical authority on ServiceNow architecture, design, and best practices. Define and drive the overall platform strategy, roadmap, and governance. Lead the design and implementation of ServiceNow modules, including ITSM, ITOM, ITAM, HRSD, CSM, GRC, SecOps, and custom applications. Ensure platform scalability, security, performance, and integrations with other enterprise systems. Provide technical leadership in solution design workshops, architecture reviews, and governance boards. Collaborate with stakeholders, business analysts, and development teams to align solutions with business objectives. Mentor and guide ServiceNow developers and administrators on technical best practices. Stay updated on ServiceNow product releases, marketplace solutions, and industry trends to recommend enhancements. Ensure compliance with enterprise architecture, security, and regulatory requirements. Skills Primary skills on TSOM implementation Strong experience with ServiceNow ITSM and at least 2 other modules (TSOM, ITOM, ITAM, HRSD, CSM, GRC, SecOps). Proven expertise in ServiceNow integrations (REST, SOAP, APIs, MID Servers, etc.). Experience with ServiceNow scripting (JavaScript, Glide, Flow Designer) and ServiceNow data model. Knowledge of ITIL/ITSM processes and best practices. Experience designing and implementing CMDB and Discovery. Excellent problem-solving, communication, and stakeholder management skills. Preferred ServiceNow Certified System Administrator (CSA). ServiceNow Certified Implementation Specialist (CIS) in multiple modules. ServiceNow Certified Application Developer (CAD). ServiceNow Certified Technical Architect (CTA) or progress toward certification. Experience with Agile/Scrum delivery methodologies. Exposure to cloud technologies (AWS, Azure, GCP) and enterprise IT ecosystems.

"At" Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work. Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade - wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively. Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We're looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication. A hands-on building role: taking AI features from idea to shipped, working software quickly, inside real products that real businesses depend on. You design prompts, manage context, integrate models, build evaluations and handle the plumbing and the polish - all of it. Crucially, most of this work happens in established C# .NET codebases, not greenfield projects. Klipboard's products have been earning their keep for years, and the job is landing modern AI capability inside them cleanly, without breaking what already works. Fast matters here, but fast with evidence - every AI feature needs evaluation behind it before customers see it. We would rather you shipped something measured and honest this sprint than something perfect next quarter. Key Responsibilities: Role Accountabilities Build AI features quickly and properly - from prompts and context design through to full LLM integration in established C# .NET codebases. Make them production-grade - error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer. Stay sharp and share as you go - keeping up with a fast-moving space and spreading knowledge through code, examples and conversation. Key Activities and Contributions Design and build prompts, context strategies and LLM integrations for product features, in domains where a confidently wrong price, part match or stock answer is worse than no answer. Work primarily in C# .NET, integrating AI capability into established codebases through clean service boundaries, sensible abstractions and respect for the code that is already there. Move fast on real deadlines - prototype in days, harden in weeks, and know the difference between a corner that can be cut and one that cannot. Build evaluation alongside the feature, not after it - test against real business cases, measure quality honestly, and let the numbers settle arguments. Handle the unglamorous parts well: error handling, fallbacks when a model misbehaves, latency, token cost, logging and monitoring. Work with the engineers who own each codebase, fitting in with their patterns and pipelines rather than parachuting in something nobody else can maintain. Keep up as models, tools and providers change, and choose pragmatically on quality, cost and latency rather than habit. Share what you learn with engineers around you through code, examples and conversation. Work with product managers, product owners and subject matter experts to understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and Technology C# .NET (primary development language) AI coding tools: GitHub Copilot, Cursor or equivalents Prompt engineering and context design patterns Retrieval-augmented generation (RAG), vector search, embeddings (desirable) Evaluation frameworks and automated quality pipelines for AI outputs Technical and Professional Expertise Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Core Responsibilities and Contributions Deliver AI features end-to-end: from requirement understanding through to shipped, evaluated product capability. Maintain production-grade quality: error handling, fallbacks, latency management, logging and monitoring - an AI feature is production software, with extra ways to fail. Care about accuracy, safety and data handling - customers run their businesses on the answers our software gives them. Leave things better documented than you found them, so the next engineer can pick up your work without an archaeology project. Prototype fast, harden properly, and know the difference between a corner that can be cut and one that cannot. Customer Experience Ensure AI features deliver accurate, trustworthy answers - a confidently wrong price, part match or stock answer is worse than no answer at all. Understand the business problem behind each feature, not just the technical solution. Work with product managers and subject matter experts to ensure AI capability genuinely serves customer needs. Key Outcomes and Activities AI capability shipped into at least one established product with evaluation behind it within the first six months. Something built has gone from idea to customers in weeks, and held up in production. Evaluation results have changed at least one decision, including, ideally, killing something that was not good enough to ship. Engineers around you have picked up techniques from your work, even though teaching is not your primary job. You can explain the business problem behind each feature you have built, not just the technical solution. Bias to action - would rather build the small version today and learn from it than plan the big version for a month. Honest about quality - measures, shows working, and does not ship something they would not stand behind. Respectful of existing code and the engineers who maintain it - established systems are established for a reason, and working well within them is a skill you are proud of. Curious about the trades Klipboard's customers work in, because domain detail is where the good prompts come from. Comfortable with change - the tools will look different in six months, and that suits you fine. Additional Responsibilities (as aligned to company job architecture) Leave documentation in better shape than you found it so the next engineer can pick up your work without needing to ask. Contribute to shared knowledge and engineering standards as the team's AI practice matures. Key Relationships (Internal and external) Internal Product managers and product owners (requirement understanding and feature scoping) Engineering teams who own the established codebases you build into Subject matter experts in Klipboard's product verticals (distributive trades, rental, automotive) Senior Applied AI Engineer and R&D engineering leadership External LLM platform and tooling providers (as needed) Required Qualifications and Experience Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Preferred Qualifications and Experience Retrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings. Experience with LLM APIs across more than one provider, with a feel for their trade-offs. Exposure to any of Klipboard's sectors: distributive trades, rental, retail, automotive aftermarket parts or garage management. Experience modernising or extending long-lived systems, in .NET or elsewhere. Familiarity with evaluation frameworks, test datasets or automated quality pipelines for AI outputs. Klipboard is embracing AI at pace across our products and ways of working. We're looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes . click apply for full job details

Discover your future at the company Working at the company is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At the company, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview We're looking for an enthusiastic & talented server side engineer, to join our high-impact teams inside the company's CTO organisation. You'll sit within Developer Enablement, a group focused on innovation, productivity and automation of our strategic developer tools internal tools used across the bank. We embody modern best delivery best practices, experiment and ship fast, like a startup inside a global bank. Our mission is to drive productivity by streamlining/automating processes & make the best tools available for our 30k engineers. We are here to be opinionated and challenge processes and procedures making software delivery easier, more enjoyable and safer. At the company's scale saving tens of minutes per day, equates to £10,000,000s of savings We believe happy engineers make the best engineers and are a technology managed department. Opportunity There are many exciting automation and simplification opportunities across the suite of strategic CTO owned tools related to developer release practices and SDLC alignment. Two closely related key strategic projects will require your expertise driving solutions are as follows: Release on Demand (RoD) is our strategic release management platform that makes it trivial to generate production run books & ServiceNow Changes with the click of a button. Built internally approximately three years ago the platform has quickly become our strategic release generation and deployment tool used across all lines of business. Last year it generated 60k releases and automated the deployment of approx. 65% of them. The tool is expanding at a rapid pace across the enterprise and is expected to double its release volumes for the third year running. RoD enables cultural change within development teams enabling them to move quickly but whilst maintaining codified quality gates to ensure the correct SDLC and procedural requirements of the firm are upheld, whilst driving industry best practices (DORA) SDLC Automation is a greenfield initiative that builds on the success we've had in automating the SDLC and takes it further. This blue-sky project looks at ways we can greatly improve the SDLC process at the company, taking ideas like grading engineering teams and rewarding those who follow best practices, perhaps moving them from manual approval process to an automatic one. The use of Artificial Intelligence is planned to further automate and remove manual human led processes that add toil to the SDLC process Why you'll love working here: You get to work in the engineering focused part of the bank, the Chief Technology Office, building tools for other engineers You'll work and lead small, agile team, in an organisation led by technologists and use the latest AI tooling to complete your work. You'll impact the daily experience of tens of thousands of engineers at one of the largest engineering organisations in the world. Our culture runs on engineering craftsmanship. Leadership here actually understands what that means. We're proving what's possible inside a large organisation, and that means navigating some legacy alongside building the future. If you want everything perfect on day one, this isn't the right fit. If you want to help us get there, keep reading. The team is distributed across Belfast, Canada & London. You'll work closely with engineers across time zones and partner directly with product and platform leadership. What you will do Write code and deliver. You are a delivery focussed engineer for our back end services. That means contributing high-quality code regularly, not just reviewing other people's. You set the bar through your own work. Shape how we build. You'll have a real voice in our architecture and technical roadmap. Your opinion matters Stay ahead of GenAI. This space moves fast. We need someone who follows it seriously, brings new ideas back to the team, and actively applies what they're learning to the products we build. If you've been experimenting with new models, new tooling, or new patterns, that's exactly the kind of thinking we want in the room. Be a team player. Thoughtful code reviews. Unblocking people when they're stuck. Sharing what you know. Your success here is tied to the team's success, not just your own output. Communicate like it matters. We're distributed across three continents. Clear, direct, proactive communication isn't a soft skill here. It's how the work gets done. You'll model it. What We're Looking For. What you should haveA selection of the tools and capabilities required across our platforms. We value muti-disciplined polyglot engineers but also understand and support the need for specialisms too across the wider department. Proven experience delivering within technical projects Deep, hands-on experience building and running production-grade services. You're still writing code regularly. You're good at it Strong server-side engineering skills: Kotlin or Java (we're using Java 21), building and consuming RESTful APIs. Proficiency with relational and/or NoSQL databases: Couchbase, PostgreSQL or MongoDB. Highly Desirable skills Experience with event-driven architecture. Experience with microservice architecture Contract first Apis, such as swagger. Experience with message queuing systems: Apache Kafka. SRE/DevOps - Experience with scalability & Observability Understanding of containerization (Docker) and orchestration (Kubernetes). Familiarity with CI/CD tools and automated deployments. Comfortable collaborating with product, design, and UI engineers, product managers, and other stakeholders to understand requirements and deliver robust backend solutions. AI experience is highly desirable but not mandatory Tools you'll use (depending on role) Server : Kotlin, Java, Spring Boot, http4k, ktor, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness Infra: OpenShift, Tekton, Harness, Mac or PC - It's up to you. Access to time-saving AI tools such as GitHub Copilot, Cognition.ai's Devin and Claude Code What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining the company London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit our Global Benefits page to learn more. Alongside these benefits the company is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. But wait there is more - Job Family Group: Technology- Job Family: Applications Development- Time Type: Full time- Most Relevant Skills Please see the requirements listed above.- Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.- the company is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

Envitia, a UK-based software and services company, is seeking a Defence Solution Architect to bridge operational needs and technical delivery for data discovery and exchange across Defence environments. You will shape mission-led architectures, model data, define integration patterns and ensure alignment with Defence standards and security requirements. Travel to Horsham and customer sites as needed. Join a high-impact consulting team delivering secure, interoperable solutions that enable

Front-End Developer £650/day Outside IR35 London 12-Month Contract Industry: Trading Location: London - 4 days in office Job Type: Contract - 12-month initial Our client, a leading commodity trading firm operating across global energy and commodities markets, is seeking an experienced Front-End Developer to join their trading technology team. You will work on developing high-performance, real-time user interfaces that present complex market data in a clear and intuitive way. You'll be responsible for building interactive applications, dashboards and visualisations that are used daily by traders and other front-office users. Key Responsibilities Design, build and maintain sophisticated front-end applications using React. Develop high-performance user interfaces for displaying real-time market data. Build interactive dashboards, charting solutions and data visualisations. Integrate and customise charting libraries, including TradingView where appropriate. Consume and display live market data via WebSockets and APIs. Work closely with traders, quantitative analysts and back-end engineers to deliver new functionality. Optimise front-end applications for performance, scalability and responsiveness. Contribute to UI architecture and continuously improve the user experience. Required Skills & Experience Strong commercial experience with React and modern JavaScript (ES6+). Proven experience building sophisticated front-end applications and user interfaces. Experience developing real-time, data-driven applications. Experience building market data visualisation tools, dashboards or charting applications. Strong understanding of WebSockets, APIs and live data streaming. Solid knowledge of HTML5, CSS3 and modern front-end architecture. Experience optimising front-end performance for data-intensive applications. Experience using Git and modern development workflows. Desirable Experience Experience within commodity trading, financial services, capital markets or fintech. Experience working with high-frequency or low-latency applications. TypeScript experience.