CLOUD & INFRASTRUCTURE

Role Title:  Number of vacancies:    Backend Engineer / Product Engineer Backend engineering is the immediate priority. Applied AI graduate candidates also welcomed (need to qualify more) Initially 2–3 hires, with scope to expand the partnership based on candidate quality.  Location: WFH Policy: Relocation: Right to work:   San Francisco. Exact office location and any flexibility to be confirmed. Visa sponsorship available for exceptional candidates. Specific visa routes to be confirmed. To be confirmed. Candidates must be comfortable with an intensive startup environment, including occasional weekend work About Wajo:   Wajo builds proactive, selflearning action agents that go beyond recommendations and complete real-world tasks. Fo (core product), their first consumer agent, can book appointments, coordinate vendors, handle travel changes, place orders, and also hire agenthuman teams to do things it can’t. Teams can also build agents for business operations and customer care. Earlystage AI company led by Shivani, whose background includes engineering leadership at Google DeepMind. The team includes engineers from Google, Amazon and other leading technology companies. The company is expanding its engineering team and targeting exceptionally strong, handson engineers. Funding is in place, although the amount, stage and details were not disclosed.   Role responsibilities:   Build and ship backend systems and product features, taking ownership from initial requirements through launch. Develop infrastructure that supports the company’s next stage of growth. Solve technical problems independently and deliver quickly. Maintain a strong focus on security and protecting customer information. For product engineering hires, develop a deep understanding of the product and contribute to user growth. Specific projects, deliverables and first 30/60/90day expectations to be confirmed.   Team Structure: Reporting Lines:     Flat engineering organisation with substantial individual ownership. To be confirmed. Rianna Zhou, Chief of Staff, is the initial recruitment contact. Shivani conducts the final founder interview. Essentials skills & experience:    Exceptional handson engineering ability, with strong coding, problem-solving and technical reasoning. Ability to own substantial features or systems independently, end to end. Strong backend and infrastructure capability for the immediate priority hires. Golang experience, engineers can interview in whatever language they like but must use Golang when joining High drive, speed of execution and comfort with startup ambiguity and workload. Security awareness and care for customer data. Ability to demonstrate technical depth in interviews, beyond an impressive CV. Desirable skills & experience:     Experience building and operating systems at significant scale. The founding engineering team specifically highlighted this preference. Experience combining strong engineering standards from Big Tech with startup pace and ownership. Earlystage or founding engineering experience. Strong academic background from a leading university, although this is not a requirement. Applied AI experience. Product judgement and experience building features that support user growth. Salary:   Not disclosed. Rianna described compensation as highly competitive among startups, with internal guidelines based on candidate level. Sell of the role:   Work directly with Shivani, whose background includes Google DeepMind engineering leadership. Join one of the most ambitious technically teams with experience at leading technology companies. Take substantial ownership of features, infrastructure and launches. Help shape an earlystage AI product as the business scales. Competitive startup compensation and equity. Fast interview process, potentially reaching an offer within one week. Interview process: Submission process:   Initial screening with Rianna. Coding / algorithms interview, described as LeetCodestyle. Infrastructure / system design assessment and further technical or product deep dive, tailored to the role. Final founder interview with Shivani. Typically 2–3 technical interviews between the initial screen and founder conversation. Interviews may be approximately 30 minutes each and can be grouped on the same day. Strong candidates may receive an offer within one week. Candidates can use their preferred coding language. AI tool usage and any onsite or work-trial requirement to be confirmed. The process remains flexible as the company develops its hiring approach.   Submit qualified CVs to Rianna with a concise overview covering technical achievements, suitability, motivation and practical requirements. A shared Slack channel was agreed as the communication route. Start date:   Hiring is urgent. Individual start dates depend on candidate availability and notice periods. Terms and partnership type agreed:   25% contingent Role Title:  Number of vacancies:    Backend Engineer / Product Engineer Backend engineering is the immediate priority. Applied AI graduate candidates also welcomed (need to qualify more) Initially 2–3 hires, with scope to expand the partnership based on candidate quality.  Location: WFH Policy: Relocation: Right to work:   San Francisco. Exact office location and any flexibility to be confirmed. Visa sponsorship available for exceptional candidates. Specific visa routes to be confirmed. To be confirmed. Candidates must be comfortable with an intensive startup environment, including occasional weekend work About Wajo:   Wajo builds proactive, selflearning action agents that go beyond recommendations and complete real-world tasks. Fo (core product), their first consumer agent, can book appointments, coordinate vendors, handle travel changes, place orders, and also hire agenthuman teams to do things it can’t. Teams can also build agents for business operations and customer care. Earlystage AI company led by Shivani, whose background includes engineering leadership at Google DeepMind. The team includes engineers from Google, Amazon and other leading technology companies. The company is expanding its engineering team and targeting exceptionally strong, handson engineers. Funding is in place, although the amount, stage and details were not disclosed.   Role responsibilities:   Build and ship backend systems and product features, taking ownership from initial requirements through launch. Develop infrastructure that supports the company’s next stage of growth. Solve technical problems independently and deliver quickly. Maintain a strong focus on security and protecting customer information. For product engineering hires, develop a deep understanding of the product and contribute to user growth. Specific projects, deliverables and first 30/60/90day expectations to be confirmed.   Team Structure: Reporting Lines:     Flat engineering organisation with substantial individual ownership. To be confirmed. Rianna Zhou, Chief of Staff, is the initial recruitment contact. Shivani conducts the final founder interview. Essentials skills & experience:    Exceptional handson engineering ability, with strong coding, problem-solving and technical reasoning. Ability to own substantial features or systems independently, end to end. Strong backend and infrastructure capability for the immediate priority hires. Golang experience, engineers can interview in whatever language they like but must use Golang when joining High drive, speed of execution and comfort with startup ambiguity and workload. Security awareness and care for customer data. Ability to demonstrate technical depth in interviews, beyond an impressive CV. Desirable skills & experience:     Experience building and operating systems at significant scale. The founding engineering team specifically highlighted this preference. Experience combining strong engineering standards from Big Tech with startup pace and ownership. Earlystage or founding engineering experience. Strong academic background from a leading university, although this is not a requirement. Applied AI experience. Product judgement and experience building features that support user growth. Salary:   Not disclosed. Rianna described compensation as highly competitive among startups, with internal guidelines based on candidate level. Sell of the role:   Work directly with Shivani, whose background includes Google DeepMind engineering leadership. Join one of the most ambitious technically teams with experience at leading technology companies. Take substantial ownership of features, infrastructure and launches. Help shape an earlystage AI product as the business scales. Competitive startup compensation and equity. Fast interview process, potentially reaching an offer within one week. Interview process: Submission process:   Initial screening with Rianna. Coding / algorithms interview, described as LeetCodestyle. Infrastructure / system design assessment and further technical or product deep dive, tailored to the role. Final founder interview with Shivani. Typically 2–3 technical interviews between the initial screen and founder conversation. Interviews may be approximately 30 minutes each and can be grouped on the same day. Strong candidates may receive an offer within one week. Candidates can use their preferred coding language. AI tool usage and any onsite or work-trial requirement to be confirmed. The process remains flexible as the company develops its hiring approach.   Submit qualified CVs to Rianna with a concise overview covering technical achievements, suitability, motivation and practical requirements. A shared Slack channel was agreed as the communication route. Start date:   Hiring is urgent. Individual start dates depend on candidate availability and notice periods. Terms and partnership type agreed:   25% contingent

Senior DevOps Engineer (AI Infra) Remote UK Job Role As a Senior DevOps Engineer, you’ll be a hands-on technical leader at the heart of our engineering organisation, owning the design, delivery, and reliability of our most critical infrastructure. You’ll drive the automation and continuous improvement of our deployment pipelines, cloud and bare metal environments, and Kubernetes-based orchestration layer — ensuring our platform scales reliably to support high-performance AI and GPU workloads. You’ll set the standard for engineering excellence, partnering with Platform, SRE and Product Engineering teams to align on strategy, shape technical direction, and embed a true DevOps culture across the organisation. Championing infrastructure as code, observability, and a bias toward automation at every layer of the stack, you’ll influence design decisions and cross-team ways of working that raise the bar for how we build and operate systems at scale. What You’ll Do Design, build, and continuously optimise CI/CD pipelines in GitHub Actions to support fast, reliable, and repeatable software delivery. Own and evolve Infrastructure as Code practices using Terraform and Ansible, ensuring infrastructure is version-controlled, peer-reviewed, and consistently provisioned across dev, staging, and production. Manage and maintain hosted application environments, ensuring high availability, scalability, and smooth deployment of services into production. Partner closely with Go engineers to deeply understand their development workflows and release processes, identifying and removing friction points that slow delivery. Own and continuously improve the observability stack — from instrumenting services with logging, metrics, and tracing, to building dashboards, alerts, and runbooks that enable proactive detection and faster resolution. Measure and improve developer experience and productivity. Take responsibility for the continuous delivery pipeline for build and deployment. Streamline and standardise the release process for Go services, working with engineering teams to implement versioning strategies, automated testing gates, and progressive delivery patterns such as canary or blue-green deployments. Identify and eliminate bottlenecks across the software development lifecycle, reducing the time between a commit and a production deployment without compromising quality or stability. Champion a self-service DevOps culture, enabling development teams to own their deployments and operational concerns through well-designed tooling, documentation, and guardrails. What You Bring Proven experience in DevOps engineering and best practices. Deep understanding of Kubernetes, Helm and other containerisation-related tooling. Demonstrable scripting ability in Python, Shell and Ansible. Strong knowledge of branching and deployment strategies, including the use of Git-based version control. Experience with CI/CD workflows, observability, security and automation best practices. Why Join Us? What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. Here are just some of the great things you can expect: 25 days of annual leave. A culture that emphasises results over hierarchy, process and ego: we place great emphasis on the quality, ingenuity and creativity of work. Open communication and regular feedback: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together. Dedicated learning time to focus on new skills, projects or interests outside your day-to-day job. Health & wellbeing support, including private medical insurance. A cycle-to-work scheme, as part of our commitment to building a sustainable business. Subscription access to a variety of gyms and wellbeing apps. Participation in the company shares programme. Enhanced parental pay & leave.

Senior QA Engineer – Contract Position – HIRING ASAP Location: Dublin, Ireland – 2/3 days per week in office Start Date: ASAP Duration: 6 month contract with extension Daily Rate: €400 - €470 per day Summary   We are hiring a Senior QA Engineer (Contractor) to join a high-performing engineering team building real-time, high-availability payment systems. This is a hands-on role requiring strong technical depth, ownership, and the ability to improve quality from day one. The ideal candidate will bring strong experience across test automation, API testing, UI testing, integration testing, performance testing, SQL validation, mocking/stubbing, CI/CD, and production-quality engineering practices. They should be able to clearly demonstrate their technical decision-making with practical examples. Requirements   5+ years of professional experience in software testing / quality engineering. Strong experience in test automation for web applications, APIs, and distributed systems. Hands-on experience with: Java Cucumber REST API testing SQL Server / SQL TestNG Experience with: Postman WireMock / Mountebank or similar mocking / service virtualisation tools JMeter or other performance testing tools CI/CD tools such as Jenkins Version control such as Git / BitBucket Docker and Kubernetes Cloud platforms such as AWS, GCP, or Azure Elastic / Kibana or equivalent monitoring / log analysis tools Responsibilities   Design, develop, and maintain scalable automated test frameworks and test suites for web, API, and service-based applications. Own testing activities across the full SDLC: requirements analysis ? test design ? automation ? execution ? defect management ? release validation. Build and maintain robust automated regression coverage for API, integration, and end-to-end workflows. Validate quality in low-latency, highly available systems with a strong focus on stability, accuracy, and production readiness. Collaborate closely with developers, product teams, DevOps, and other QA engineers to ensure quality outcomes across multiple teams. Drive defects and quality issues to resolution with a strong ownership mindset. Contribute to test strategy, quality standards, release confidence, and continuous improvement initiatives. Review applications and test coverage proactively to identify quality gaps, flaky tests, test data issues, performance risks, and automation opportunities. Support production validation, issue triage, and root cause analysis where needed.

Join a fast-growing AI start-up on a mission to make advanced technology accessible to everyone. This team is building the next generation of AI-powered apps for people who want intelligent help without complex prompting. Their first product is an agent-first mobile communication app, bringing intelligence to conversations, errands, organising and workflows. The focus is on AI that is reliable, proactive and easy to trust. The Opportunity As an iOS Engineer, you’ll own the iOS client experience: how AI feels, responds and performs in users’ hands. This is not a thin integration role. You’ll build a production-grade app where AI interactions are central to the product, working closely with backend and ML engineers on API design and system behaviour. What You’ll Be Doing Build and maintain the iOS app in Swift and SwiftUI Integrate AI-powered features through backend APIs Design UX patterns for AI, including loading states, streaming responses, retries and fallbacks Optimise performance, memory usage and battery efficiency Capture user signals and feedback to support AI evaluation and iteration Keep App Store quality, stability and production reliability high Detect and resolve production issues early, with clear root-cause analysis What They’re Looking For 3+ years of iOS development in Swift Hands-on experience integrating AI-powered features into mobile apps Strong understanding of async/await, concurrency and background tasks Solid performance and memory optimisation skills Experience shipping and maintaining production iOS apps Comfort designing for latency, partial failure and non-deterministic AI behaviour Strong intuition for AI UX patterns and user trust Exposure to CoreML or on-device ML, and familiarity with feature flags or remote config, are a plus Tech Stack Swift • SwiftUI • SPM • SQL / NoSQL • TensorFlow Lite Why Join? Fully remote working Salary up to £100k, plus potential equity High ownership and autonomy from day one Small, high-talent-density team that makes decisions collectively Direct influence on product direction Fast-moving environment with rapid decision-making and deployment cycles A quick, transparent interview process: 3 stages, 4 at most The chance to bring practical AI to billions of everyday users If you’re excited by AI and building products from scratch, I’d love to speak with you. Feel free to reach out directly for more information.

WebMethods System Administrator / Configuration Engineer   €540 per day | Remote across Europe | Initial 6–12 Month Contract Are you an experienced webMethods specialist looking for your next contract? This is an opportunity to take ownership of enterprise integration platforms, support critical manufacturing data flows, and drive efficient, secure and scalable file-transfer solutions across multiple sites. We’re looking for a skilled WebMethods System Administrator / Configuration Engineer to manage platform configuration, system administration, security, performance and production support. You’ll play a key role in ensuring reliable plant-to-SAP file transfers while improving delivery through standardisation, automation and streamlined deployment processes. Key Responsibilities Install, configure and administer webMethods Integration Server, API Gateway and Trading Networks. Manage development, QA, UAT and production environments. Maintain platform security, authentication, access controls, certificates and vulnerability remediation. Apply patches, upgrades and configuration changes, ensuring minimal disruption to operations. Monitor system performance, troubleshoot incidents and optimise platform reliability. Support high availability, clustering, disaster recovery, backups and recovery testing. Manage deployments, releases, rollbacks and environment migrations. Provide L2/L3 production support, root-cause analysis and corrective actions. Maintain technical documentation, operational procedures and compliance records. Leverage scripting and automation to improve repetitive interface configuration and file-transfer validation. Essential Skills & Experience Strong hands-on experience administering webMethods Integration Server and API Gateway. Experience with Trading Networks configuration and package management. Solid Windows/Linux administration, networking, DNS, firewalls and load balancing knowledge. Strong understanding of Java/JVM configuration, memory management and performance troubleshooting. Experience with TLS/SSL certificates, keystores, truststores and authentication mechanisms. Knowledge of HTTP/HTTPS, REST/SOAP, SFTP, JDBC and messaging integrations. Experience supporting SAP and external application connectivity. Familiarity with monitoring, incident management, release management, backup/recovery and disaster recovery. Scripting and deployment automation experience. Contract Details Rate: €540 per day Location: Remote across Europe Duration: Initial 6–12 months If you have strong webMethods administration experience and enjoy working on complex integration environments where reliability, security and automation are essential, we’d love to hear from you. Apply now to discuss this opportunity and take the next step in your contracting career.

IT Support Analyst – 12-Month Contract – Hiring ASAP! Location: London – Hybrid (2–3 days onsite) Duration: 12 Months Day Rate: £250 per day – Outside IR35 Start Date: ASAP Ready to Take the Next Step in Your IT Career? We're looking for a motivated IT Support Analyst to join a leading global investment organisation on an exciting 12-month contract! This is a fantastic opportunity for someone early in their IT career who enjoys solving technical problems, supporting users and working with the latest workplace technologies. You'll be joining a friendly, collaborative IT team where you'll gain valuable hands-on experience across 1st and 2nd Line Support in a fast-paced corporate environment. What You'll Be Doing Providing hands-on 1st and 2nd Line IT Support to employees. Setting up, configuring and deploying laptops and devices. Troubleshooting Windows, Microsoft 365, hardware and software issues. Supporting new starters with IT onboarding and equipment setup. Managing IT support tickets and maintaining IT inventory. Working alongside experienced technical specialists to resolve issues. What We're Looking For 0–2 years' experience in IT Support, Service Desk or Desktop Support. Good working knowledge of Windows and Microsoft 365. Familiarity with ticketing systems such as ServiceNow, Jira or Zendesk. Basic networking and troubleshooting knowledge. A proactive attitude, strong communication skills and a passion for IT. Corporate IT support experience would be a bonus! Why Apply? This is a great opportunity to build your technical skills, gain experience within a respected global investment business and work alongside an experienced IT team. With a 12-month contract, hybrid working and £250 per day Outside IR35, this is an excellent opportunity for someone looking to develop their career in IT Support. Interested? Apply today for immediate consideration!

Description   Senior Data and AI Architect Description Do you want to work to make Power for Good? We're the world's largest independent renewable energy company, guided by a simple yet powerful vision to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal and professional growth of our people, no matter what stage of their careers they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally. Our competitive package offers a wide range of benefits and rewards. Locations: UK - Kings Langley or Glasgow. Spain - Albacete or Madrid. Summary / Purpose of the Role Are you ready to architect the future of data and AI at one of the world's leading renewable energy businesses? At RES, we are looking for a Senior Data and AI Architect to design and build our next-generation Microsoft Fabric and Azure data estate, and to spearhead the engineering of the autonomous AI agents and intelligent services that operate within it. Reporting to the Head of Data and Analytics, you will own the forward-looking strategic and conceptual design of our global platform. This role combines elite enterprise data warehousing architecture with cutting-edge AI systems design. You will focus entirely on defining future-state architecture, establishing data standards optimized for LLM reasoning, and coding multi-agent orchestration frameworks. You will work in lockstep with our established Platform Operations team—who handle the day-to-day platform run, infrastructure maintenance, and legacy migrations—allowing you to serve as the ultimate technical authority for data and AI innovation across RES. Key Accountabilities Own Strategic Platform Direction: Define the target-state data and AI architecture, governance frameworks, and data modelling standards across Microsoft Fabric and Azure, aligned with global business goals. Design the Data-to-AI Interface: Establish how enterprise data is structurally modelled (using star schemas, semantic layers, dimensional modelling, and knowledge ontologies) to ensure autonomous AI agents can search, retrieve, and reason over data reliably without hallucinating. Pioneer Agentic AI Services: Lead the hands-on design, coding, and prototyping of multi-agent workflows and custom AI services; set rigorous automated evaluation frameworks, non-deterministic testing standards, and compliance gates. Set Engineering Standards & Code Patterns: Provide senior technical authority in Python, SQL, advanced software engineering, and LLM orchestration to the wider team. Review production code and build reusable code repositories to ensure quality engineering solutions. Drive Platform Capabilities: Identify, evaluate, and prototype emerging technologies and agentic tools (such as Model Context Protocol servers and vector databases), bringing highly automated new capabilities into our global data product portfolio. Architect Financial Efficiency: Design cloud data and AI patterns for optimal consumption efficiency, establishing best practices for token management, semantic caching, and compute cost optimization. Enforce Trust & Security by Design: Partner with Cyber Security and the Data & AI Governance Lead to ensure data privacy, access boundaries (RBAC), and prompt-injection defence mechanisms are embedded across all agents. Influence Global Leadership: Advise senior IT executives and business leaders on complex technical priorities, helping guide investment choices around data architecture, software engineering, and AI automation. Experience Required Enterprise Platform Design: 7+ years of demonstrated track record designing enterprise data architectures and data warehouses at scale to create organizational efficiency. Strategic & Conceptual Direction: Deep experience setting architectural reference designs, modeling standards, and technical direction across modern cloud data estates. Hands-on AI & Software Engineering: Proven, deep experience writing clean, modular code in Python, SQL, and consuming complex REST APIs. Must have hands-on experience building, testing, and deploying custom LLM agent frameworks (e.g., LangGraph, AutoGen, or LangChain) in production. Modern Cloud Data Tooling: Strong technical experience with Azure data and AI ecosystems (Azure AI Foundry, Microsoft Fabric, Azure AI Search) or equivalent components on alternative enterprise cloud platforms. Data Governance & Security Knowledge: Solid understanding of how data cataloging, lineage, and privacy compliance integrate with autonomous AI systems. Executive Communication & Leadership: Demonstrated ability to articulate complex technical strategies, lead workshops, run steering groups, and influence senior executive stakeholders. Exceptional Engineering Judgment: A proven track record of understanding the limitations of generative AI, demonstrating high judgment on where AI automation adds value versus where deterministic engineering must be used. Educational Foundation: Bachelor's degree in computer science, software engineering, data analytics, or equivalent deep, hands-on senior career experience. Why RES? A genuinely global remit: You will set the architecture and build the AI for a data platform used across a worldwide renewable energy business. Work at the intersection where data, analytics and AI meet: Your architecture and the agents you build will drive business outcomes across the globe in renewable energy. A modern, cloud-first stack: Azure, Fabric, Purview, MCP servers, and significant innovation investment. A collaborative, growing data and analytics function: Scope to shape how analytics and AI evolves for data and platforms. Join a brand new, agile team: Be at the heart of AI, innovation, Next Gen technology, and driving competitive advantage for RES. Agentic AI leadership: Set the blueprint for how RES builds and operates autonomous agents on our platform.

Full Stack Developer – TypeScript / React / Node.js Location: Portsmouth, England Rate: £410 per day, Outside IR35 Contract: Initial 6 months, with potential extension Start Date: On or around 4 November 2026 Security Clearance: Active SC clearance or above On-site: 1–2 days per fortnight The Role We are seeking an experienced Full Stack Developer to join a team on a greenfield project. You will build a new TypeScript codebase from scratch, developing across the front-end and backend while contributing to technical architecture, engineering standards and production deployments. Working alongside the Technical Lead and wider team, you will have the autonomy to shape solutions and deliver secure, scalable and accessible applications. Key Skills & Experience 5+ years of professional software development experience. Strong TypeScript skills across front-end and backend development. React, modern CSS and WCAG 2.2 AA accessibility. Node.js and REST API development. PostgreSQL, schema design and query optimisation. Unit, integration and end-to-end testing. Git, CI/CD pipelines (GitHub Actions preferred) and Docker. OIDC authentication and authorisation, ideally with Keycloak. Experience working in Agile teams and communicating technical decisions to non-technical stakeholders. Desirable: MOD/Defence experience, Kubernetes/OpenShift, Helm, Terraform and observability tools such as Grafana and Prometheus.