17 jobs found

Senior Cloud Engineer Manchester Hybrid £80,000+ Are you a Senior Cloud Engineer who enjoys solving complex engineering problems, shaping cloud platforms, and improving how teams build and deliver software? We're looking for an experienced engineer to play a key role in designing and delivering scalable cloud and Developer Experience solutions within a modern, engineering led environment. This is a hands on position offering real ownership across architecture, delivery and platform evolution. You'll work alongside talented engineers to build resilient, secure and highly automated cloud systems, helping development teams move faster through better tooling, infrastructure and engineering practices. What You'll Be Doing Leading the design and delivery of cloud based solutions and platform capabilities Owning significant technical components from concept through to production Writing high quality, maintainable and testable code Designing scalable, loosely coupled systems across multiple services Driving best practice across performance, resilience, security and observability Contributing to solution design and technical decision making Supporting roadmap planning and identifying platform improvements Championing automation, modern tooling and engineering standards What We're Looking For Strong hands on experience with AWS Experience using Terraform for infrastructure as code CI/CD experience using GitHub Actions or similar tooling Solid understanding of cloud architecture and platform engineering principles Experience building and maintaining shared infrastructure or developer platforms Strong testing mindset and experience writing testable code Knowledge of Git and distributed version control Exposure to cloud cost optimisation and FinOps practices Tech Environment AWS Azure Terraform GitHub GitHub Actions Jira Confluence VS Code PyCharm Why Apply? Genuine technical ownership and autonomy Opportunity to influence engineering direction and tooling Modern cloud first environment Collaborative engineering culture Complex, meaningful technical challenges

My leading Tech client are looking for a talented and motivated individual to ensure the resilience, performance, and cost-effectiveness of their Azure-based data platform. This role is essential to their data ecosystem, combining platform reliability, incident response, SLA management, cost optimization (FinOps), and deployment oversight. You will be the single point of contact for operational issues, driving rapid resolution during outages, leading communications with stakeholders, and shaping the processes that keeps their platform running smoothly and efficiently. This is a newly created role in a growing business. A brilliant opportunity! The following skills/experience is required: Proven operational leadership for large-scale data platforms. Expertise in incident management, SLA enforcement, and stakeholder communication. Hands-on experience with Azure Synapse, Databricks, ADF, Power BI. Familiarity with CI/CD and automation. Strong FinOps mindset and cost management experience. Knowledge of monitoring and observability frameworks. Salary: Up to £90,000 + bonus + package Level: Lead Engineer Location: London (good work from home options available) If you are interested in this Lead DataOps Engineer (Big Data) position and meet the above requirements please apply immediately.

My leading Tech client are looking for a talented and motivated individual to ensure the resilience, performance, and cost-effectiveness of their Azure-based data platform. This role is essential to their data ecosystem, combining platform reliability, incident response, SLA management, cost optimization (FinOps), and deployment oversight. You will be the single point of contact for operational issues, driving rapid resolution during outages, leading communications with stakeholders, and shaping the processes that keeps their platform running smoothly and efficiently. This is a newly created role in a growing business. A brilliant opportunity! The following skills/experience is required: Proven operational leadership for large-scale data platforms. Expertise in incident management, SLA enforcement, and stakeholder communication. Hands-on experience with Azure Synapse, Databricks, ADF, Power BI. Familiarity with CI/CD and automation. Strong FinOps mindset and cost management experience. Knowledge of monitoring and observability frameworks. Salary: Up to £90,000 + bonus + package Level: Lead Engineer Location: London (good work from home options available) If you are interested in this Lead Big Data Ops Engineer position and meet the above requirements please apply immediately.

MUST BE ELIGIBLE FOR BPSS CLEARANCE Role Title: Programme Environment Manager Location: London or Brighton - 60% onsite - 40%home Duration: to 30/09/2026 MUST BE PAYE THROUGH UMBRELLA Role Description: 14+ years of experience as an Environment Manager with a strong understanding of SDLC, DevOps, and cloud-based environments, with proven expertise in environment management for large-scale programmes. Define, implement, and govern the environment and release strategy for the programme, ensuring all environments are fit-for-purpose, compliant, and aligned with organisational standards to support successful delivery. Establish governance processes for the full environment life cycle management; maintain a central repository for governance documentation, tooling standards, branching strategies, and naming conventions. Manage environment calendars and readiness across all workstreams, proactively maintaining risk logs and resolving environment conflicts to ensure seamless coordination. Gate releases to ensure compliance with SDLC, security, and resilience standards; drive automation in release and test processes to continuously improve efficiency and reliability. Implement access control models, FinOps guidance, and security governance templates; monitor and mitigate environment-related risks to maintain compliance and operational integrity. Partner with cloud architects, infrastructure engineers, and delivery leads; secure stakeholder buy-in for standards and processes through excellent communication and stakeholder management skills. Define and enforce best practices across release management, tooling, and environment standards to ensure consistency, repeatability, and quality across the programme.

We're seeking a Cloud & Platform Engineering Advisory Lead who is passionate about solving realworld challenges through technology. You'll collaborate with senior stakeholders-both internally and across major client organisations to shape cloud strategy, architect scalable and secure solutions, and influence innovative transformation programmes. Cloud & Platform Engineering Advisory Lead Location: Bases UK-Wide Organisation : Leading IT Consulting Business & Leading Global Cloud Partner! Working Model: Hybrid (office, client site, and home) Salary: 100,000 to 109,000 base salary + benefits, perks, healthcare options + 10% bonus About the Opportunity The infrastructure and cloud landscape is evolving rapidly as organisations pursue greater standardisation, automation, and strategic guidance on their digital journeys. This role sits within a leading Cloud Infrastructure Services practice, working at the forefront of industry transformation and helping clients simplify complexity with clarity, creativity, and confidence. We're seeking a Cloud & Platform Engineering Advisory Lead who is passionate about solving real-world challenges through technology. You'll collaborate with senior stakeholders. Key Responsibilities Partner with Senior Leaders (including CxOs) to advise on major transformation programmes and complex cloud/platform engineering initiatives. Drive growth by shaping compelling technology solutions and competitive cloud propositions. Build and nurture long-term strategic relationships with both clients and internal teams. Design innovative, practical solutions rooted in strong technical expertise and a problem-solving mindset. Represent the advisory function in strategic forums and contribute to thought leadership. Collaborate across diverse technical teams , supporting knowledge-sharing, mentoring, and continuous learning. Skills & Experience Required Strong experience designing and implementing cloud solutions using AWS, Azure, or Google Cloud (certifications advantageous). Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation. Solid understanding of cloud strategy, platform engineering, and operating models , with hands-on expertise in areas such as: Automation Containerisation (Docker, Kubernetes) FinOps Proven ability to translate business needs into scalable, user-focused cloud solutions . Excellent communication, stakeholder engagement, and team-empowerment skills. A growth mindset with a passion for continuous improvement. Security Clearance Requirements To be appointed to this position, you must be eligible to obtain Security Check (SC) clearance , which includes: Continuous UK residency for the last 5 years Eligibility based on nationality and immigration status Employment history checks An unspent criminal record (DBS) check Please APPLY now to learn more!

Power BI Developer Key Responsibilities Application Lifecycle: Design, develop, and maintain automated reporting jobs and dynamic dashboards based on stakeholder specifications. Data Connectivity & Accuracy: Manage data connections to ensure seamless synchronization. Perform rigorous data validation to guarantee accuracy in all reports. Performance & Resiliency: Build resilient, high-availability solutions. Optimize refresh patterns and resource usage to support Green IT and FinOps goals, ensuring dashboards remain stable under load. Platform & Governance: Support the health of the Power BI ecosystem by managing workspace security, monitoring capacity performance, and enforcing governance standards. Collaboration: Maintain strong communication with key business stakeholders and technical teams (often in a distributed/spread environment) to review operational performance and refine solutions. Technical Stack Core Visualization: Microsoft Power BI, Power Query, DAX. Infrastructure: Power BI Service (Security/Monitoring), Azure Managed Services. Nice-to-Haves (Plus): Experience developing Custom Visuals . Knowledge of Microsoft Fabric . Background in Database Design , Data Mining, or Data Analysis. Certification: Microsoft Certified: Power BI Data Analyst Associate ( PL-300 ). Core Competencies Visual Storytelling: Ability to choose the right visualizations to make data accessible to non-technical users. Technical Growth: A strong desire to learn advanced optimization techniques and cloud architecture. Attention to Detail: Dedication to delivering error-free data and polished user interfaces. Communication: Ability to work effectively within an agile, distributed engineering squad.

Google Cloud Consultant (Cloud / Data / AI) Location: London (Hybrid) Salary: 50,000 - 70,000 + benefits Type: Permanent 83zero are partnered with a leading technology consultancy that helps organisations modernise their digital platforms and unlock value through cloud, data, and AI technologies. Due to continued growth, they are looking for a Google Cloud Consultant to join their expanding cloud practice. This is an excellent opportunity for someone with hands-on GCP experience who is looking to develop their consulting career while working on large-scale cloud and data transformation projects. The Role As a Google Cloud Consultant, you will work closely with clients and internal teams to design and deliver solutions on Google Cloud Platform (GCP) . You will contribute to cloud platform implementations, data solutions, and emerging AI capabilities while supporting senior consultants and architects on customer engagements. This role offers the opportunity to gain exposure to a variety of cloud transformation projects while developing both your technical and consulting skillset . Key Responsibilities Support the design and implementation of cloud solutions on Google Cloud Platform (GCP) Work with clients to understand technical requirements and contribute to solution design Help deliver cloud migration, platform modernisation, and cloud-native solutions Assist with the design and development of data platforms and analytics solutions Contribute to the implementation of AI or machine learning solutions where appropriate Develop and maintain infrastructure using Infrastructure-as-Code tools such as Terraform Support the creation of technical documentation including solution designs and implementation plans Collaborate with architects, engineers, and client stakeholders to ensure successful project delivery Follow best practices around security, governance, and cost optimisation (FinOps) Skills & Experience Essential Experience working with Google Cloud Platform (GCP) in a professional environment Exposure to GCP services such as Compute Engine, Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, or Vertex AI Experience supporting the implementation of cloud infrastructure or data platforms Understanding of Infrastructure-as-Code , ideally using Terraform Strong problem-solving skills and the ability to work collaboratively within project teams Good communication skills and an interest in developing a client-facing consulting career Desirable Experience with data engineering, analytics platforms, or machine learning technologies Exposure to cloud migration or modernisation programmes Knowledge of security or compliance practices within cloud environments Relevant certifications such as Google Associate Cloud Engineer or Professional Cloud Architect What They're Looking For The ideal candidate is someone who enjoys working with modern cloud technologies and wants to build a long-term career in cloud consulting . You'll be curious, technically capable, and comfortable working in collaborative project environments. This is a great opportunity to join a fast-growing consultancy where you will work on cutting-edge cloud, data, and AI projects while continuing to build your technical expertise.

This is an exciting opportunity for a Senior Data Engineer to own the Azure/Databricks data & AI platform end-to-end from architecture and pipelines to governance, data quality, observability, ML enablement so the business gets trusted, timely, and cost-efficient data and models. Client Details Senior Data Engineer The organisation is a well established entity within the financial services industry. It operates as a medium-sized firm and focuses on providing reliable and innovative solutions to its clients. Description Senior Data Engineer Develop and oversee Azure-based solutions to support analytics functions. Design and evolve the Azure/Databricks modern data platform architecture. Build, optimise and maintain scalable ETL/ELT pipelines and data models. Implement data governance, lineage and cataloguing using Purview/Unity Catalog. Establish data quality frameworks, monitoring and observability across pipelines. Manage orchestration, platform operations and ITIL-aligned incident/change processes. Ensure strong data security, access controls and regulatory compliance. Support and enable machine learning and AI solutions within Databricks. Monitor and optimise cloud and compute costs using Azure FinOps tooling. Provide guidance and mentorship to the analytics team on Azure best practices. Profile Senior Data Engineer A successful senior data engineer will have deep, hands-on experience with Databricks and Azure, with the ability to own platform architecture, delivery and operations end-to-end (including DevOps, monitoring, reliability and cost control). They will be fluent across data engineering, governance, ML enablement and ITIL-aligned change and incident management. Proven expertise in delivering Azure and Databricks data platform solutions. Strong background in designing and optimising complex ETL/ELT pipelines. Hands-on experience with data governance, lineage and cataloguing tools. Proven ability to implement data quality, monitoring and observability practices. Experience leading platform operations, including incident and change management. Demonstrated capability in mentoring others and collaborating with diverse stakeholders. Strong leadership skills with the ability to guide and develop teams. Excellent analytical and problem-solving abilities. Job Offer Senior Data Engineer Competitive salary up to £70,000 + Bonus & Benefits. Standard benefits package provided. Permanent position within a reputable organisation. Chance to develop and lead innovative Azure-driven projects. Take the next step in your career by applying for this Senior Data Engineer position in Basingstoke today. Join a trusted organisation and make a significant impact.

Senior Cloud Engineer Manchester Hybrid 80,000+ Are you a Senior Cloud Engineer who enjoys solving complex engineering problems, shaping cloud platforms, and improving how teams build and deliver software? We're looking for an experienced engineer to play a key role in designing and delivering scalable cloud and Developer Experience solutions within a modern, engineering led environment. This is a hands on position offering real ownership across architecture, delivery and platform evolution. You'll work alongside talented engineers to build resilient, secure and highly automated cloud systems, helping development teams move faster through better tooling, infrastructure and engineering practices. What You'll Be Doing Leading the design and delivery of cloud based solutions and platform capabilities Owning significant technical components from concept through to production Writing high quality, maintainable and testable code Designing scalable, loosely coupled systems across multiple services Driving best practice across performance, resilience, security and observability Contributing to solution design and technical decision making Supporting roadmap planning and identifying platform improvements Championing automation, modern tooling and engineering standards What We're Looking For Strong hands on experience with AWS Experience using Terraform for infrastructure as code CI/CD experience using GitHub Actions or similar tooling Solid understanding of cloud architecture and platform engineering principles Experience building and maintaining shared infrastructure or developer platforms Strong testing mindset and experience writing testable code Knowledge of Git and distributed version control Exposure to cloud cost optimisation and FinOps practices Tech Environment AWS Azure Terraform GitHub GitHub Actions Jira Confluence VS Code PyCharm Why Apply? Genuine technical ownership and autonomy Opportunity to influence engineering direction and tooling Modern cloud first environment Collaborative engineering culture Complex, meaningful technical challenges

Core Cloud Delivery Manager 12 months, scope to extend Hybrid, London Inside IR35 Active SC would be advantageous Public sector experience required The Delivery Manager is accountable for the end-to-end delivery of the clients Core Cloud services, ensuring platforms, products, and supplier outcomes are delivered on time, within tolerance, and to production-grade standards. This is not a ceremonial Agile role. It is a hands-on delivery leadership position operating in a high-assurance, multi-supplier, politically visible environment. You will be expected to control risk, expose reality early, and keep delivery moving despite ambiguity, dependency churn, and security constraints. Key Responsibilities Delivery & Execution Own delivery across one or more Core Cloud workstreams (platform, migration, security uplift, tooling, or service onboarding). Translate strategy, roadmaps, and funding intent into executable delivery plans with clear milestones, dependencies, and tolerances. Drive delivery through discovery, alpha, beta, and live phases without losing momentum. Actively manage delivery risk, technical debt, and operational constraints Stakeholder & Governance Management Operate confidently across senior stakeholders, leadership, architects, security teams, and commercial functions. Run delivery governance forums with clarity and pace, focusing on decisions, not theatre. Provide clear, honest delivery reporting (RAG, risks, mitigations, forecast confidence). Challenge optimism bias and escalate early when delivery is at risk. Multi-Supplier & Team Leadership Coordinate delivery across multiple suppliers and internal teams, ensuring clear ownership and zero gaps. Enable engineering teams by removing blockers rather than adding process drag. Foster a delivery culture that values predictability, quality, and operational readiness. Agile, Lean & Assurance Alignment Apply Agile pragmatically using Scrum, Kanban, or hybrid approaches as appropriate. Ensure delivery aligns with GDS Service Manual, assurance gates, and NCSC expectations. Balance speed with assurance Financial & Commercial Awareness Track delivery against funding envelopes and call out burn-rate risks early. Support commercial governance, change control, and scope management. Ensure value is demonstrable, not implied. Essential Skills & Experience Proven experience delivering large-scale cloud or platform programmes in complex environments. Strong background in public sector digital delivery, ideally within central government. Demonstrable experience managing multi-supplier delivery under tight assurance constraints. Comfortable working with cloud platforms (AWS) and understanding modern DevOps delivery models. Strong grasp of delivery metrics, forecasting, dependency management, and risk control. Confident communicator who can challenge senior stakeholders constructively. Experience working under security, compliance, and regulatory constraints. D esirable Experience Experience delivering or operating core cloud, shared platforms, or landing zones. Familiarity with public sector governance, GDS assessments, or cross-government platforms. Exposure to FinOps, platform reliability, or live service operations. Experience supporting migration programmes or large-scale onboarding. Behaviours & Ways of Working Outcome-focused: you care about what lands, not what was attempted. Comfortable with ambiguity and capable of bringing order without bureaucracy. Calm under pressure; credible when things go wrong. Willing to say "this won't land" early and back it up with evidence. What Success Looks Like Delivery plans are credible, visible, and trusted. Risks are surfaced early and actively mitigated. Suppliers deliver outcomes, not excuses. Core Cloud services land predictably and are operable from day one. Senior stakeholders trust your reporting even when the news isn't good.

Job Title: GCP FinOps Engineer Location: Newport, UK (Hybrid) Contract Duration: 6 Months IR35 Status: Inside IR35 Role Overview We are seeking an experienced GCP FinOps Engineer to optimise cloud spend, performance, and operational efficiency across large-scale data analytics and containerised workloads. You will work closely with engineering, data, and product teams to embed cost-efficient architectures, enforce financial governance, and implement best practices across Google Cloud environments. Responsibilities Optimise large-scale data analytics workloads via partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost-efficient compute. Redesign workflow orchestration pipelines for parallel execution, higher concurrency, and offloading heavy tasks to lower-cost execution environments. Analyse distributed data-processing pipelines to right-size worker types, adjust scaling thresholds, and adopt low-cost compute for batch workloads. Reduce log-processing and storage overhead through log-level standardisation, routing rules, exclusion filters, and retention optimisation. Implement storage-tiering strategies based on access patterns and enforce lifecycle rules to minimise cold data retention costs. Improve relational database performance through index tuning, connection optimisation, and instance right-sizing. Enhance horizontally scalable database performance via autoscaling policies, index improvements, and mitigation of read/write hotspots. Build dashboards, budgets, alerts, and guardrails to drive ongoing cost governance and financial accountability. Collaborate with engineering teams to embed cost-efficient architecture patterns and operational best practices. Key Skills / Knowledge 5+ years of hands-on experience in Google Cloud. Strong understanding of GCP data services, including indexing, slots, pruning, partitioning, and clustering. Expert-level Kubernetes & GKE resource tuning. Hands-on experience with Dataflow pipelines and worker optimisation. Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator). Deep understanding of Cloud Logging, routing, sinks, and exclusion filters. Experience with Cloud Spanner autoscaling, indexing, and schema optimisation. Cloud SQL performance tuning and indexing. Ability to analyse billing data, resource consumption, and quantify cost savings. Experience using GCP Cost Explorer, Recommender API, and Billing Export. Build dashboards, alerts, and budget guardrails for cost governance. Excellent communication and stakeholder management skills. Ability to collaborate across engineering, data, and product teams. Structured problem-solving mindset; ownership-driven, proactive, and independent.

Job Title:  English Technology Platform SRE Team Lead Salary:  £68,600 - £91,700 Location:  Cambridge/Hybrid (with 2-3 days per week in office) Contract:  Permanent  Hours:  Full time Are you ready to shape the future of technology platforms at the heart of Cambridge's academic excellence? Join us as our English Technology Platform SRE Team Lead and help drive innovation, reliability, and intelligent automation in a world-class environment. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.  About the role   The SRE Team Lead will lead a mature Site Reliability Engineering function within the Platform Operations Team, working closely with Platform Support and Engineering teams. This role demands strong thought leadership, technical depth, and strategic direction for the discipline, with a particular emphasis on leveraging AI-driven operations (AIOps) and FinOps practices to optimise reliability, performance, and cloud spend. Although this is a hands-on technical role, the SRE Team Lead will also manage a small team of SRE, providing clear direction and ensuring consistent, data-driven, AI-enhanced service delivery across the platforms while working collaboratively with existing support and engineering groups. Apply core SRE and DevOps principles—culture, automation, testing, measurement, and continuous improvement—to build and optimise pipelines focused on rapid, reliable software delivery. Integrate AIOps capabilities, such as automated anomaly detection and intelligent alerting, to further enhance operational excellence. Work with Solutions Architecture, Development, and QA teams to automate processes wherever possible, creating and improving stable CI/CD pipelines for both software and infrastructure. Develop tools that enable rapid provisioning of environments and resources across all teams, incorporating AI-assisted automation where beneficial. Use automation, observability, and monitoring tools to improve site reliability and proactively identify issues. Support development teams with troubleshooting, particularly in infrastructure, networking, and multi-tier application design. Serve as a subject matter expert for cloud services—especially AWS PaaS—while applying FinOps practices to ensure cloud cost transparency, optimisation, and efficient resource usage. Create and maintain robust technical documentation for the infrastructure of the English platforms, including operational runbooks enhanced with predictive and AI-supported insights. Stay engaged with developments in the SRE, DevOps, AIOps, and FinOps communities, continually introducing new practices and technologies to improve reliability, performance, automation, and cloud cost efficiency   This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition.    About you A passion for Site reliability engineering and driven to understand, anticipate, and counter platform related issues before they become problems and staying up to date with the latest technological trends and developments Great communication allowing effective collaboration across technical leadership and various business stakeholders with the ability to present ideas and strategies clearly and persuasively. Demonstratable soft skills in motivating, inspiring and leading a team (direct line management is not part of the roles remit) Educated to degree level or equivalent and with a minimum of 5 years proven experience in a systems administration or dev-ops blended role. Experience implementing technologies such as Terraform, Github Actions & Containerization/Orchestration e.g. Kubernetes & Docker Expertise in Monitoring tools like New Relic, Grafana, Alert Manager and site24x7. Have extreme knowledge of cloud computing infrastructure, especially using Amazon Web Services (EKS, ECS, RDS, Route53 etc.) Excellent troubleshooting, debugging, communication and documentation skills Experience of working within an Agile product development environment. For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's   Offer of an Interview   commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the  gov.uk   website for guidance to understand your own eligibility based on the role you are applying for. Rewards and benefits   We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible  rewards package , featuring family-friendly and planet-friendly benefits including:   28 days annual leave plus bank holidays Private medical and Permanent Health Insurance   Discretionary annual bonus   Group personal pension scheme Life assurance up to 4 x annual salary   Green travel schemes     Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 4th February. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. If you are shortlisted and progressed through the stages, you can expect:  A 15-minute screening call with the Hiring Manager. Final stage virtual interview via MS Teams.  If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs.  Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter.  Why join us  Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe – for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.  We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities. If you are ready to take the next step in your Cambridge journey, we welcome your application. Together, we continue to shape a culture where everyone feels empowered to succeed and motivated to make a difference— for ourselves, for each other, and for learners worldwide.

SC Cleared (FinOps Business Analyst) Location: Hybrid / London Contract: Outside IR35 Clearance: SC (must be live) Start: Immediate Duration: 5 weeks initially We are seeking an experienced SC-cleared FinOps Business Analyst to support a national data optimisation project. This is a financial data consumption and cost efficiency role - not technical data engineering. The focus is on understanding how departments use data, identifying waste, and recommending improved models and contracts. Key Responsibilities: Review data service contracts and SLAs for efficiency, effectiveness, and value for money (VFM). Engage with departments and service providers to understand usage, behaviours, and pain points. Analyse consumption patterns to identify waste and opportunities for optimisation. Co-design improved operating models, focusing on fair usage, continuous improvement, and sector-wide efficiency. Deliver a clear set of business change options, a recommended data service model, and a roadmap for transition. Requirements: Proven experience in FinOps, cloud/SaaS cost optimisation, or financial data services. Strong business analysis skills; able to understand non-technical data requirements. Experienced in stakeholder engagement across business and service teams. Strong commercial awareness; capable of reviewing contracts and SLAs. SC clearance (live) - must be immediately available. Remote, but will required trips to London outside IR35, with potential extension into implementation Those without SC, active need not apply ECS Resource Group are an Equal Opportunity Employer, for more information please click the following link: (url removed) In accordance with the Equality Act 2010, if you require an alternative form of application please click the following link: Flexible Application Process - (url removed)/work/flexible-application-process

Cloud DevOps Support Engineer Salary: £45-55k Hybrid- Cardiff/Bristol Join an industry-leading MSP and cloud consulting business at an exciting phase of growth. This is a fantastic opportunity to work with some of the top AWS and Azure partner talent in the sector, contributing to the management and evolution of high-scale operational environments. As a Cloud DevOps Support Engineer, this position is predominantly operational (80%), with opportunities for rotation into project delivery and solution development to further enhance technical skills and cloud expertise. You'll play a critical part in optimising and supporting our customers' AWS and Azure environments, leveraging your Infrastructure-as-Code (IaC) proficiency, automation skills, and passion for cloud technology. This role suits a coder by nature who enjoys troubleshooting complex technical problems in cloud-native and hybrid settings, ensuring the highest standards of reliability, efficiency, and innovation. The successful candidate will be directly involved in managing our customer cloud platforms for a diverse enterprise client base, acting both as a trusted technical expert and a collaborative team player. You'll work side-by-side within a cross functional squad supporting both day-to-day operational excellence and next-gen cloud adoption initiatives. AWS associate level certification is essential, with a commitment to achieve professional certification needed; AI/ML experience is advantageous but not mandatory. Key technologies you will need to support include Windows, networking, with a blend of cloud native- PaaS expertise across security, serverless and AI/ML. Now is a great time to join and contribute to our operational maturity journey, benefit from best-in-class mentoring, and accelerate your career as we scale to meet ambitious growth targets. What you'll be doing: Operational Cloud Support Providing technical support and troubleshooting of AWS and Azure environments for enterprise customers, including incident management, monitoring, backup, and disaster recovery. Implement and maintain robust monitoring, alerting, and reporting frameworks to ensure SLA adherence and proactive issue detection. Support upgrades, patches, and problem resolution across cloud platforms with an automation-first mindset. Supporting cost optimisation (FinOps) and security posture improvement across client deployments. Automation, IaC, and CI/CD Build, optimise, and manage Infrastructure-as-Code (IaC) templates and automation scripts-primarily using Terraform, CloudFormation, ARM/Azure Bicep, and related tools. Develop, maintain, and enhance CI/CD pipelines and GitOps workflows to accelerate cloud deployments and streamline operational changes. Participate in release management, change configuration, and cloud resource life cycle operations. Project Delivery & Skill Development Rotate into project-based delivery assignments to participate in cloud migration, modernisation, and optimisation engagements, building hands-on expertise and expanding knowledge of new services (including AI/ML/GenAI when relevant). Contribute to knowledge sharing and continually develop skillsets by collaborating with cloud architects, engineers, and product specialists. Collaboration & Continuous Improvement Work closely with service desk, SREs, developers, and security teams to resolve incidents, enhance reliability, and adopt best operational practices. Document technical solutions, create playbooks, and recommend process improvements to drive efficiency and standardisation. Promote a culture of automation, continuous learning, and operational excellence within the cloud team. What you need to succeed: Solid, hands-on experience supporting, configuring, and troubleshooting AWS and/or Azure environments in large-scale or MSP settings. Diligent and client-focussed mentality ensuring customer outcomes are maintained. Expertise in moving Windows Server workloads to AWS Workspaces or Azure AVD/Workspaces is advantageous. Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, or equivalent), with a strong automation and Scripting background (Python, PowerShell, or Bash). Direct experience with cloud platform operations, monitoring, and incident response, including root cause analysis and problem management. Demonstrated ability to manage CI/CD tools, source control (Git), and modern DevOps workflows. Enthusiasm for collaborating with diverse technical teams and mentoring less-experienced team members. Strong communication skills, both written and verbal, for engaging with technical peers, customers, and non-technical stakeholders. AWS Associate certification required; willingness to achieve AWS Professional (DevOps or Solutions Architect). Azure certification or experience highly valued. Experience or demonstrated interest in supporting AI/ML/GenAI operations is a plus but not essential. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values of Honesty, Integrity, and Pragmatism. We welcome applications from all suitably qualified or experienced candidates, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us.

Azure Cloud & Infrastructure DevOps Lead Newcastle upon Tyne - Hybrid Working(2 days per week onsite) Are you ready to lead the charge in cloud transformation? We're looking for an experienced Azure Cloud & Infrastructure DevOps Lead to join our client in their Newcastle office. In this pivotal role, you'll drive our cloud-first strategy, leading the design, implementation, and optimisation of Azure infrastructure and DevOps practices across a global organisation. What you'll do: Define and own the Azure DevOps roadmap Lead the implementation of automation, security, and governance in cloud environments Collaborate with global and regional IT teams to mature DevOps practices Drive cloud adoption and optimise services across multiple regions Stay ahead of emerging technologies and propose innovative solutions What you'll bring: 4+ years as a Certified Azure DevOps Engineer Proven experience in Azure architecture, automation (Terraform, Ansible), and DevOps tooling (Azure DevOps, GitHub) Strong leadership and communication skills in a matrix-managed environment Expertise in Azure IaaS, PaaS, SaaS, containerisation (Docker, Kubernetes), and FinOps Why join us? You'll be part of a forward-thinking team, shaping the future of our infrastructure with the latest cloud technologies. If you're passionate about DevOps and ready to make a global impact, we want to hear from you.

Azure Cloud & Infrastructure DevOps Lead Newcastle upon Tyne - Hybrid Working(2 days per week onsite) Are you ready to lead the charge in cloud transformation? We're looking for an experienced Azure Cloud & Infrastructure DevOps Lead to join our client in their Newcastle office. In this pivotal role, you'll drive our cloud-first strategy, leading the design, implementation, and optimisation of Azure infrastructure and DevOps practices across a global organisation. What you'll do: Define and own the Azure DevOps roadmap Lead the implementation of automation, security, and governance in cloud environments Collaborate with global and regional IT teams to mature DevOps practices Drive cloud adoption and optimise services across multiple regions Stay ahead of emerging technologies and propose innovative solutions What you'll bring: 4+ years as a Certified Azure DevOps Engineer Proven experience in Azure architecture, automation (Terraform, Ansible), and DevOps tooling (Azure DevOps, GitHub) Strong leadership and communication skills in a Matrix-managed environment Expertise in Azure IaaS, PaaS, SaaS, containerisation (Docker, Kubernetes), and FinOps Why join us? You'll be part of a forward-thinking team, shaping the future of our infrastructure with the latest cloud technologies. If you're passionate about DevOps and ready to make a global impact, we want to hear from you.

Infrastructure Engineer AI Startup Remote (One week per month in Barcelona) Up to £180,000 + Equity Want to help power some of the most advanced AI models being built today? I'm hiring for an Infrastructure Engineer to join a cutting-edge startup developing next-generation AI for tabular data-technology with the potential to transform industries like finance, healthcare, and advertising. You'll work alongside researchers and engineers from the likes of DeepMind and other top AI labs, building cloud infrastructure from the ground up to support high-performance, GPU-intensive workloads at scale. Why You'll Love This Role Highly competitive salary + meaningful equity package ? 100% remote within Europe Work with world-class AI experts on cutting-edge problems Join at an early stage with big growth ahead Access to the latest tools, GPUs, and research infrastructure What You'll Be Doing Design and implement multi-cloud infrastructure (AWS + GCP) optimised for ML workloads Build and manage Kubernetes clusters for GPU training, serving, and SaaS hosting Implement GitOps deployment workflows using ArgoCD Create and manage infrastructure as code with Terraform Set up CI/CD pipelines for infrastructure and application deployment Implement monitoring, observability, and cloud cost optimisation (FinOps) Collaborate with ML engineers to fine-tune infrastructure for large-scale model training What You'll Bring 5+ years in cloud infrastructure / DevOps roles Deep Kubernetes expertise, including GPU workload optimisation Strong AWS and GCP experience Proven skills with Terraform , GitOps tools, and CI/CD (GitHub Actions preferred) Proficiency in Python and scripting for automation Solid understanding of cloud networking, security, and cross-cloud connectivity Experience in monitoring, observability, and cost optimisation ? Nice to Have Experience with ML tooling (MLflow, Kubeflow) Knowledge of FastAPI , Databricks, or Snowflake Exposure to SRE practices or cloud security certifications Familiarity with Prometheus , Grafana , or Datadog Interested? If you want to be part of a world-class AI team at an early stage-where your infrastructure decisions will directly shape the company's success-apply today or reach out for a confidential chat.