128 jobs found

Senior DevOps Engineer - AWS - Cloud Infrastructure - FinTech Excellent opportunity opens for a skilled DevOps engineer to join a growing FinTech working with leading Global Banks . This role offers the opportunity to lead the design, implementation, and ongoing management of robust and scalable infrastructure, playing a key role in ensuring high levels of reliability, performance, and resilience across the platform. The ideal candidate will bring a passion for automation, continuous integration, and continuous delivery, and will thrive in an environment focused on modern DevOps practices. Key Responsibilities: Lead the design, implementation, and maintenance of CI/CD pipelines to automate and streamline deployment processes. Collaborate closely with software development teams to ensure seamless integration and delivery of applications. Architect, manage, and optimize our cloud infrastructure (AWS, Azure, or GCP) to support scalable applications. Implement and manage infrastructure as code using tools such as Terraform, Ansible, or CloudFormation. Oversee containerization and orchestration efforts using Docker and Kubernetes. Develop and maintain automation scripts for system administration and operational tasks. Ensure security, compliance, and best practices are integrated into all aspects of infrastructure management. Monitor system performance, troubleshoot issues, and implement solutions to enhance reliability and scalability. Provide mentorship and guidance to other DevOps engineers. Maintain comprehensive documentation for systems, processes, and best practices. Participate in on-call rotation for incident management and support, ensuring high availability of services. Requirements: 3+ years of experience as a DevOps Engineer. Extensive experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Proficiency in Scripting languages such as Python, Golang or Bash Strong expertise in cloud platforms like AWS, Azure, or GCP. Deep knowledge of infrastructure as code tools (Terraform, Ansible, CloudFormation). Proficiency with containerization and orchestration tools (Docker, Kubernetes). Strong understanding of networking concepts and protocols. Hands-on experience with monitoring and logging tools such as DataDog, Prometheus, Grafana, ELK stack. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to lead and mentor a team. Knowledge of security best practices and compliance standards (eg, PCI DSS, SOC2, ISO, GDPR). Experience with serverless architecture and microservices. Familiarity with database management and optimization (SQL and NoSQL). Demonstrated experience in leading complex projects and initiatives. Interested? Please Apply! DevOps FinTech CI/CD Jenkins Golang Kubernetes GitLab Ci Circle CI Python Bash Kafka AWS Azure GCP Terraform Ansible Cloud Formation Investment Banking Financial Services Information Technology DevOps Continuous Integration and Continuous Delivery (CI/CD) Jenkins Kubernetes Amazon Web Services (AWS) AWS Gitlab Python (Programming Language) FinTech Apache Kafka

Role Overview We are seeking an experienced Senior Cloud Engineer with deep expertise in cloud-native platforms, Kubernetes, and DevOps engineering . In this role, you will contribute to building and operating a strategic platform on Google Cloud Platform (GCP) that supports next-generation digital services aligned with the organization's long-term technology vision. The ideal candidate will have strong experience in GCP infrastructure, Kubernetes operations, service mesh technologies, CI/CD automation, and infrastructure as code , along with a strong Site Reliability Engineering (SRE) mindset focused on reliability, scalability, and security . Key Responsibilities Cloud Platform Engineering Architect, implement, and maintain highly resilient, scalable, and secure Kubernetes environments on GCP . Engineer and optimize Kubernetes infrastructure supporting multi-tenant workloads . Ensure strong resource isolation, operational scalability, and high availability across cloud environments. Kubernetes & Service Mesh Manage and operate production-grade Kubernetes clusters . Implement service mesh technologies such as Istio or Anthos for secure service-to-service communication. Configure Istio telemetry, sidecar injection, and mTLS enforcement . Security & Governance Implement strong security controls including: OPA Gatekeeper policies Fine-grained RBAC mTLS encryption Secure service mesh configurations Apply least-privilege access principles and cloud security best practices . CI/CD & Automation Build and maintain CI/CD pipelines enabling automated build, testing, and deployment. Implement Infrastructure as Code (IaC) using Terraform . Automate platform provisioning and configuration using modern DevOps practices. Observability & Performance Implement observability frameworks using tools such as: Prometheus Dynatrace OpenTelemetry Diagnose and resolve complex performance, networking, and automation issues . Optimize system performance and ensure platform reliability. Collaboration Work closely with engineering, architecture, and DevOps teams to deliver cloud-native solutions . Support the full lifecycle management of cloud-native services . Contribute to engineering best practices and continuous improvement initiatives .

Senior DevOps Engineer 6-month contract London/Remote SC Clearance Inside IR35 My Financial Customer is looking for a Senior DevOps Engineer to join a growing technology team responsible for maintaining and evolving a complex on-premise platform. This role will play a key part in ensuring the reliability, performance, and continuous improvement of the organisation s technical estate while supporting the delivery of new services. This Senior DevOps Engineer is required to have experience with the following: Cloud Platform (Azure, AWS, or GCP), Kubernetes, IaC using Terraform and CI/CD pipelines. Skills & Experience required from the Senior DevOps Engineer: Active SC Clearance Cloud Platforms (Azure, AWS, or GCP) Strong experience supporting production environments, including on-call support and release management. Hands-on experience with Kubernetes or OpenShift in on-premise environments. Proven background in Linux system administration Experience implementing Infrastructure as Code, ideally using Terraform, integrated with CI/CD pipelines such as Jenkins. Observability platforms including logging, monitoring, and alerting tools such as ELK, Splunk, Prometheus, or Grafana. Experience improving DevOps tooling and contributing to technology roadmaps. Strong knowledge of Agile methodologies and modern DevOps practices. Experience working in the financial industry would be beneficial. Key Responsibilities of the Senior DevOps Engineer: Support, maintain and enhance the organisation s core platform and supporting infrastructure. Manage the promotion of code across environments, ensuring safe and controlled releases from pre-production through to live. Champion continuous improvement and modern DevOps practices, helping teams adopt automation-first approaches across build, deployment, and release processes. Provide technical mentorship and guidance to engineers, sharing best practices and supporting professional development within the team. Collaborate with architects and solution designers to align technical delivery with long-term product and technology roadmaps. Lead incident management activities, coordinating major incident responses and ensuring effective communication with stakeholders. Support a 24/7 production environment, including participation in an on-call rota and out-of-hours release support when required. Apply now to speak with VIQU IT in confidence. Or reach out to Connor Smal via the VIQU IT website. Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment.

Role Overview We are seeking a skilled Cloud Platform Engineer / Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) to design, build, and operate secure, scalable, and automated cloud platform capabilities. The ideal candidate will have strong experience in Infrastructure as Code, Kubernetes, API management, and cloud networking , along with a strong DevOps and SRE mindset focused on reliability, automation, and observability . Key Responsibilities Cloud Platform Engineering Design, build, and maintain secure and automated cloud platform capabilities on Google Cloud Platform (GCP) . Support API Management platforms and integration services across the organization. Develop and maintain cloud infrastructure architectures aligned with platform engineering best practices . Infrastructure as Code & Automation Develop and manage Terraform-based Infrastructure as Code (IaC) solutions. Implement automation for provisioning, configuration, and lifecycle management of cloud resources . Maintain and enhance CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Harness . API Management & Integration Support and manage GCP API Management infrastructure (Apigee) . Implement API Gateway solutions and integration platform capabilities. Ensure secure API design using REST/OpenAPI standards, OAuth, mTLS, and certificate lifecycle management . Containers & Kubernetes Design and manage containerized workloads using Google Kubernetes Engine (GKE) . Implement container orchestration, scaling, and service mesh technologies such as Istio . Networking & Security Implement and manage GCP networking components , including: Load Balancers Cloud Armor Secure networking configurations Ensure security-by-design principles across the platform lifecycle. Observability & Reliability Implement SLO/SLI frameworks and observability solutions to ensure platform reliability. Configure monitoring tools such as Dynatrace or other observability platforms . Optimize system performance and reduce operational overhead through automation. Collaboration & Platform Enablement Work closely with architecture, DevOps, and development teams to evolve the cloud platform. Enable teams to deliver API-first services using reusable platform capabilities . Contribute to documentation, knowledge sharing, and platform best practices . Mentor team members and contribute to engineering standards and communities of practice .

Solution Architect Lead Location: Hybrid 60% office-40% remote - Knutsford Duration: 30/10/2026 Rate 706 MUST BE PAYE THROUGH UMBRELLA Role Description: The Solution Architect Lead provides end?to?end ownership of programme architecture, ensuring solutions are secure, scalable, integrated, and aligned with enterprise standards. This role serves as the design authority across all technical domains, guiding engineering teams and validating architectural decisions. Key Responsibilities: Own the end?to?end technical architecture across all solution components, ensuring coherence, alignment, and technical viability. Lead architectural design sessions, blueprint creation, and technical governance. Define solution patterns, integration approaches, and technical standards across the programme. Ensure security-by-design principles are embedded, including IAM, data protection, encryption standards, and threat modelling. Oversee integration architectures across APIs, data pipelines, cloud platforms, microservices, and third-party systems. Act as final approver for technical design decisions, architectural reviews, and engineering escalations. Work with security, infrastructure, DevOps, and engineering teams to ensure compatibility and compliance. Participate in vendor assessments, technology evaluations, and tooling strategy. Manage architectural risks, technical debt, and system interdependencies. Ensure technical documentation, design artefacts, and architectural repositories are maintained to enterprise standards. Technical/Delivery Components: Strong understanding of cloud architectures (Azure/AWS/GCP), containerisation (Docker/Kubernetes), and serverless design patterns. Expertise in integration patterns (REST, GraphQL, Event?Driven Architecture, messaging queues). Knowledge of security frameworks (ISO27001, NIST, Zero Trust), identity management (OAuth, SSO, Azure AD). Familiarity with CI/CD pipelines, DevOps toolchains, infrastructure as code, and environment strategy. Ability to translate business requirements into scalable technical designs."

PAM Engineer Location: Wokingham Hybrid - 50/50 Duration: 25/09/2026 / role starts with a 6 months contract Rate 644 MUST BE PAYE THROUGH UMBRELLA MUST HOLD A ACTIVE SC CLEARANCE Role Description: Qualifications Relevant certifications (e.g., CyberArk Defender, CISSP, CISM) Experience in cloud environments (AWS, Azure, GCP) and hybrid infrastructures Knowledge of DevSecOps practices and CI/CD pipeline integration Key Responsibilities Design, deploy, and manage PAM solutions (e.g., CyberArk, BeyondTrust, Delinea) Implement least privilege access models and enforce secure credential management Monitor and audit privileged access activities across systems and applications Integrate PAM tools with SIEM, IAM, and other security platforms Develop and maintain policies, procedures, and documentation for PAM operations Conduct regular access reviews, privilege audits, and risk assessments Collaborate with IT, DevOps, and Security teams to ensure seamless PAM integration Provide technical support and troubleshooting for PAMrelated issues Stay current with industry trends, threats, and best practices in access management Required Skills & Qualifications Experience in PAM engineering or cybersecurity roles Proficiency with PAM tools such as CyberArk, BeyondTrust, or Delinea Strong understanding of Active Directory, LDAP, and authentication protocols Experience with scripting (PowerShell, Python) for automation and reporting Familiarity with compliance frameworks (ISO 27001, NIST, GDPR) Excellent problemsolving, communication, and documentation skills

A leading UK financial services organisation is looking for a Cloud Platform DevOps Engineer specialising in Google Cloud Platform networking to join a highly skilled engineering team working on a large-scale cloud transformation programme . You'll play a key role in building and maintaining secure, automated cloud networking infrastructure that enables development teams to deliver modern, scalable applications. Key Responsibilities Design and manage enterprise-scale GCP networking infrastructure Build and maintain Infrastructure as Code using Terraform Support secure, reliable networking across cloud and hybrid environments Troubleshoot complex networking issues and improve platform reliability Collaborate with engineers and architects to deliver scalable solutions Key Skills Strong hands-on experience with GCP networking (VPC, Load Balancers, DNS, Firewalls, Cloud Interconnect, VPC Peering) Terraform / Infrastructure as Code DevOps tooling such as Git, GitHub or Terraform Cloud Experience working in enterprise cloud environments Desirable Hybrid cloud networking experience Python or Bash automation Monitoring tools such as Google Cloud Monitoring or Dynatrace GCP certifications For this role, you'll receive a very competitive benefits package including non-contributory pension, discretionery bonus and a comprehensive holiday package. The role requires 2 days onsite a week and can be based from Edinburgh, Leeds, Manchester, Bristol or Halifax. This is an excellent opportunity to join a major cloud engineering programme and help shape the next generation of cloud infrastructure.

A great energy client based in London is looking for a Full Stack Python Engineer. Fantastic benefits, bonus, training, events, cycling scheme, pension, free breakfast and much more! If you're looking for a genuinely exceptional tech environment in London, this is it. The team is highly collaborative, technically strong, and incredibly supportive - a group of talented professionals who genuinely enjoy working together. Key Responsibilities Design, develop, and maintain scalable and reliable software solutions, ensuring alignment with Principals and Architects. You must have at least 4 years Python experience Experience with Typescript and a years Javascript Key Requirements Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP. Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures. Bachelor's or Master's degree in Computer Science, Engineering or equivalent experience. Experience with CI/CD tools and practices. Strong problem-solving & communication skills. Adaptability/willingness to learn (e.g., Agile). Technical leadership (mentoring, best-practice guidance). Desirable: Experience with modern frameworks and libraries (e.g., React, Node.js, Terraform, Celery). Experience with database schema design and query optimisation. Collaborate with cross-functional teams, including Product, QA, and DevOps, to deliver high-quality features. Lead code reviews and technical discussions, and contribute to architectural decisions. Lead complex coding tasks; ensure code quality. Identify and resolve performance and scalability issues. Write clean, maintainable, and well-documented code. Mentor and support junior and mid-level engineers. Stay current with emerging technologies and industry trends. Estimate work; lead delivery of features from the roadmap. Solve ambiguous problems with scalable solutions.

Role: Senior CCAI Engineer (12 month FTC) Reports to: Principal CCAI Engineer This is a remote opportunity. Role Purpose: The Contact Centre AI Engineer plays a pivotal role in delivering change across the Digital Customer Contact (DCC) product suite. This includes supporting the integration and evolution of the Google CCaaS platform, in-house systems, and cloud-native services. Seniors are expected to, where appropriate, provide technical leadership, and contribute to the development of mid & junior engineers. The role includes line management responsibilities. Key Accountabilities and Responsibilities: Lead and deliver SaaS initiatives, ensuring alignment with the DCC product roadmap. Support the Principal Engineer in executing the technical strategy for the DCC SaaS product. Develop and maintain full stack solutions using .NET, JavaScript, and Python. Contribute to the design and deployment of serverless functions on Google Cloud Platform (GCP). Assist in the development of Chrome extensions to enhance agent experience. Implement secure authentication using JWT and OAuth 2.0. Support CI/CD pipeline development and maintenance for Google Cloud technologies. Collaborate with cross-functional teams to ensure successful delivery of features and integrations. Manage and support API integrations using Apigee. Participate in testing automation and quality assurance processes. Provide mentorship and technical guidance to mid & junior engineers. Where applicable, take on management responsibilities, including performance reviews and development planning. Skills, Experience, and Knowledge: Proven experience in full stack development, particularly in .NET and cloud-native environments. Hands-on experience with GCP services including Contact Centre AI, GCP Functions, and Cloud Storage. Familiarity with Chrome extension development and secure authentication protocols. Experience with CI/CD pipelines and DevOps practices. Strong understanding of API management using Apigee. Proficiency in JavaScript and Python. Exposure to Azure infrastructure and networking is a plus. Demonstrated ability to lead delivery streams and mentor team members. Excellent problem-solving, communication, and collaboration skills. Customers and Key Stakeholders: Work closely with the Principal Engineer and Head of Digital Customer Contact to align technical delivery with strategic goals. Collaborate with Contact Centre Ops Managers, IT, and Data teams. Engage with external partners and stakeholders to ensure delivery meets expectations. What we offer in return? A collaborative and fast paced work environment Health care cash plan Yearly bonus scheme 24 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service) Life Assurance 4x annual salary Vibrant, modern offices About the business: Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1.2b. Markerstudy also has a large and growing direct presence in the market as well.

PRINCIPAL AI PLATFORM ENGINEER Up to £90,000 + BENEFITS SHEFFIELD (Hybrid) This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production-grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency. THE COMPANY: They are a technology-led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best-practice from day one. THE ROLE: Build and operate production-ready AI agents on GCP Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling. Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy. Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance. Shape engineering standards, patterns and tooling as part of a new AI function. YOUR SKILLS AND EXPERIENCE: Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. Deep hands-on expertise with GCP services Strong Python skills Practical experience with LLMs, embeddings, RAG architectures and vector databases. A track record of building production-grade AI systems, including observability, evaluation and automated testing. DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling. THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Infrastructure Engineer (Apply online only) per day - Umbrella only Dates: 23/02/2026 - 31/07/2026 Mostly remote but will need to be flexible to travel to London, Manchester and Leicester as required An infrastructure operations engineer is responsible for the preparation and support of IT operations solutions and services, physical or virtual. They do so according to industry and organisational best practices, standards, service requirements and Key Performance Indicators (KPIs) throughout the product life cycle. Create and maintain documentation. Perform all routine tasks according to process and checklists. Monitor infrastructure and applications services. Alert and take appropriate action Required Skills Asset and configuration management. Availability and capacity management. Change Management. Coding and scripting. Continual service improvement. Incident management. Problem management. Service management framework knowledge. Testing. Technical understanding Technical skills Cloud Platforms: Azure / AWS / GCP (compute, networking, IAM, storage) OS & Virtualisation: Linux (RHEL/Ubuntu), Windows Server, VMware / Hyper?V Automation & IaC: Terraform, Ansible, PowerShell, Bash CI/CD & DevOps Tooling: Azure DevOps / GitHub Actions / Jenkins Monitoring & Observability: Prometheus, Grafana, ELK/EFK, Azure Monitor Networking & Security: Firewalls, Load Balancers, VPNs, Zero Trust, Identity & Access Management All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

My client is looking for an experienced DevOps Engineer to work 3 days a week onsite in their Sheffield office (Candidates can be based in Leeds to work 3 days a week onsite in Leeds office) Top skills needed: - DevOps - 5+ years experience - Jenkins - Python - Kubernetes - Cloud (AWS/Azure/GCP) Please apply if you have the required skillset and can work 3 days in office in Sheffield / Leeds. GCS is acting as an Employment Business in relation to this vacancy.

Position: Forward Deployed Engineer (B2) Location: London, UK (Hybrid) Permanent position Job Requirements Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc. Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike 5+ years of engineering and technical deployment experience in a customer-facing set up Should scoped and delivered complex systems in rapid and ambiguous environments Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks Understand how AI model behaviour affects product experience Communicate clearly with engineers, product teams, and customer stakeholders Flag risks early and seek attention as per the severity Key responsibilities: Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams Own technical delivery across multiple deployments from prototype to stable release Build bespoke AI and transformative agentic AI solutions Technical debugging and root cause analysis Rapid prototyping Implement and administer best practices

Forward Deployed Engineer Generative AI / LLM Deployment GenAI LangChain RAG AWS Kubernetes Customer-Facing We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments. This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact. Key Responsibilities Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning) Lead production deployment on AWS, Azure or GCP Build scalable backend systems in Python (JavaScript a plus) Manage infrastructure using Kubernetes, Docker, Terraform Own end-to-end technical delivery across multiple client deployments Conduct debugging, optimisation and root cause analysis Communicate complex AI concepts to technical and non-technical stakeholders Requirements Strong experience building and deploying LLM / Generative AI solutions Hands-on with LangChain, RAG, multi-agent systems Cloud ML deployment experience (AWS, Azure or GCP) DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps Customer-facing technical delivery experience Background in Machine Learning, Data Science or AI Engineering This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments. Apply now to work at the forefront of enterprise AI deployment and agentic systems.

Principal Data Architect, Secure Government and Defence Programmes Location: UK, hybrid, client site as required Security Requirement: Developed Vetting (DV) clearance is mandatory. This role is only suitable for candidates who currently hold active DV clearance. Overview A leading UK consulting organisation delivering mission-critical digital and data transformation across defence, national security, and sensitive government environments is seeking a Principal Data Architect. This is a senior, client-facing role focused on defining and delivering secure, scalable data platforms within highly classified programmes. Due to the nature of the work and access to classified systems, only candidates with active DV clearance can be considered. Role Responsibilities Define and lead enterprise-level data architecture for complex, secure transformation programmes Architect end-to-end data platforms covering ingestion, integration, storage, governance, and analytics Design secure, resilient, and scalable architectures aligned with defence and national security requirements Translate mission and operational needs into technical data solutions Provide technical leadership across engineering teams and client stakeholders Contribute to capability growth, technical strategy, and thought leadership within secure environments Technical Environment Architectural responsibility across modern and legacy secure platforms, including: Multi-cloud platforms and secure data environments Data lakes, warehouses, and distributed data systems Data ingestion, orchestration, and integration tooling Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture strategy across large, complex client programmes Lead multidisciplinary teams across data, engineering, and delivery functions Provide strategic technical direction and advisory support to senior stakeholders Support business development, technical assurance, and capability development Essential Requirements Active DV clearance (mandatory, non-negotiable) Strong experience designing and delivering enterprise data architectures Experience working in defence, national security, or highly regulated government environments Deep understanding of secure data platform design and cloud architectures Strong stakeholder engagement and consulting capability Experience leading teams and delivering complex programmes

Job Title: Snowflake Data Engineer Location: London (2 days on-site per week) Salary/Rate: 550 - 600 per day inside IR35 Start Date: March Job Type: Initial 3-6 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Snowflake Data Engineer to help on their cloud migration project. Job Responsibilities/Objectives You will be responsible for designing and building scalable data pipelines, Data Vault models/Dimension Model, and Snowflake/dbt workloads for cloud migration projects. ? Implement Data Vault 2.0 (Hubs, Links, Satellites) /Dimension Model on Snowflake. ? Build ELT pipelines using Snowflake, dbt, Python/PySpark. ? Develop ingestion from APIs, databases, streams. ? Optimize Snowflake warehouses, cost, and performance. ? Collaborate with architects, analysts, and DevOps. ? Maintain documentation, lineage, governance standards. Required Skills/Experience The ideal candidate will have the following: ? Strong SQL; Snowflake ELT; dbt experience. ? Python/PySpark, ETL/ELT design. ? Data Vault 2.0 or dimensional modeling. ? AWS services (S3, Glue, Lambda, Redshift) or GCP equivalents. ? Experience with CI/CD for data pipelines. Good to have skills Although not essential, the following skills are desired by the client: ? Kafka/Kinesis, Airflow, CodePipeline. ? BI tools (Power BI/Tableau). ? Docker/OpenShift; metadata driven pipelines. ? 3-8+ years Data Engineering experience. ? Cloud data engineering and Snowflake/dbt hands on exposure. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

Principal Cloud Platform Engineer - Contract Location: Hybrid (60% office / 40% remote) Rate: 580 - 618 per day - Inside IR35 Engagement: PAYE via Umbrella Company only Role Overview We are seeking an experienced Principal Cloud Platform Engineer to help shape the future of our cloud security and automation capabilities. You will play a key role in expanding our cloud product roadmap, automating remediation and escalation processes, and strengthening our security posture across enterprise platforms. Working closely with engineering, security, and DevOps teams, you will apply modern cloud-native and CI/CD practices to solve real-world business challenges across multiple technology domains. Key Responsibilities Drive cloud infrastructure enhancements aligned to strategic and budgetary objectives. Collaborate with engineering teams on the design, build, and delivery of scalable cloud services. Enable stakeholders to adopt modern cloud-native architectures and best practices. Ensure cloud platforms adhere to security, compliance, and software lifecycle standards. Automate operational workflows, incident remediation, and escalation processes. Essential Skills & Experience Proven experience in cloud engineering with professional certifications (AWS, Azure, or GCP preferred). Ability to translate High-Level Designs (HLD) and Low-Level Designs (LLD) into implementable solutions. Strong scripting skills in PowerShell, Bash, and Python or Java . Deep experience with CI/CD pipelines and Agile/Scrum methodologies. Knowledge of SIEM, cloud security controls, and cloud security tooling . Experience with incident, problem, and change management processes. Hands-on experience with Wiz (Wiz Cloud, Wiz Defend) . Strong containerisation expertise ( Docker, Kubernetes ). Experience with Windows and Red Hat Linux environments. Automation experience using Chef or similar configuration management tools . GCP-Focused Experience (Highly Desirable) Infrastructure automation using Deployment Manager or Terraform . IAM roles, Service Accounts, and Organization Policies. CI/CD tooling including Cloud Build, Artifact Registry, and Cloud Deploy . GCP Networking (VPC, firewall rules, load balancing). Observability and security tooling (Cloud Logging, Monitoring, Security Command Center). Experience with GKE and container orchestration . Desirable Qualifications Experience within financial services or other regulated environments. Bachelor's degree (or higher) in a relevant technical discipline. CISSP or equivalent security certification.

Role: Senior DevOps Integration Engineer Location: Hybrid - 60% onsite / 40% remote - Cheshire Contract Length: Until 30/11/2026 Rate: 600 to 630 per day Role Overview We're looking for a Senior DevOps Integration Engineer to take ownership of designing, automating, and integrating modern CI/CD pipelines, cloud infrastructure, and platform tooling. This is a hands-on technical role focused on building scalable, resilient DevOps solutions that improve deployment speed, platform reliability, and engineering efficiency across multiple teams. If you like solving complex automation problems and making pipelines purr rather than scream, you'll feel at home here. Key Responsibilities Design, build, and maintain enterprise-scale CI/CD pipelines across multi-service environments Integrate build, test, security scanning, and deployment workflows Automate cloud infrastructure using Infrastructure as Code (Terraform preferred) Build and manage container platforms using Docker and Kubernetes (AKS/EKS/GKE) Implement monitoring, logging, and alerting integrations Collaborate with engineering, SRE, and security teams to embed DevOps best practices Troubleshoot pipeline failures, environment inconsistencies, and integration issues Drive continuous improvement, performance optimisation, and platform resilience Produce clear documentation, automation standards, and reusable tooling Required Skills & Experience Strong hands-on experience building CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI, Jenkins) Solid cloud engineering experience (Azure, AWS, or GCP) Deep Infrastructure as Code expertise (Terraform highly preferred) Kubernetes and container orchestration experience Strong scripting skills (Python, Bash, PowerShell) Good understanding of DevSecOps practices (SAST, DAST, secrets management, code scanning) Excellent troubleshooting and systems integration skills Nice to Have Cloud / DevOps certifications (Azure DevOps Engineer, AWS DevOps Pro, CKA) Experience with API integration, service automation, or event-driven pipelines Familiarity with monitoring stacks (Prometheus, Grafana, ELK, Splunk) Experience with GitOps tooling (ArgoCD, Flux)

Role: Delivery Lead - SC Clearance needed Type: Contract (6 Months) Location: UK Wide (Fully Remote) Working Model: Fully Remote Contract Payrate: 47 - 57/hr on PAYE 65 - 75/hr on INSIDE IR35 Umbrella Clearance: Active SC Clearance Required Dual nationals will not be considered. The Role: We are looking for an experienced Delivery Lead to drive complex cloud and digital transformation initiatives within the Public Sector. You will bridge the gap between high-level strategy and agile execution, leading multidisciplinary teams (DevOps, Cloud Engineers, Analysts) to deliver secure, scalable, and citizen-focused solutions. Key Responsibilities: Programme Leadership: Shape delivery strategy and roadmaps for cloud-native/hybrid infrastructure (Azure, AWS, GCP). Agile Governance: Manage sprint cycles, backlog prioritization, and delivery metrics (DORA) using Jira or Azure DevOps. Technical Oversight: Review Infrastructure as Code (IaC) and automation workflows to ensure scalability and resilience. Stakeholder Management: Navigate complex client contracts, manage third-party vendors, and lead service recovery for failed SLAs. Compliance: Ensure all delivery aligns with GDS, NCSC, and ITIL standards. Requirements: Proven Lead: Extensive experience in service delivery within digital or legacy environments. Public Sector Savvy: Deep understanding of Government Service Standards and secure delivery practices. Commercial Acumen: Ability to manage internal charging mechanisms and interpret complex contracts. Communication: Expert at presenting technical risks to non-technical senior leadership. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Cloud Delivery Lead +6 months + +Fully remote working + 70 - 79 ph Inside IR35 +SC cleared role - must hold current active clearance +Sole British - due to nature of the project Skills: +SC clearance +Cloud Delivery leader +DevOps +Azure / AWS +Stakeholder engagment We are seeking an experienced delivery leader responsible for managing complex cloud and digital initiatives that support public sector transformation. Skilled in overseeing agile delivery across infrastructure, software, and service platforms with a strong focus on stakeholder engagement, budget management, and governance. Brings deep understanding of cloud technologies (Azure, AWS, GCP) and modern delivery models to ensure secure, scalable, and citizen-focused solutions. Expert in driving cross-functional collaboration, aligning IT strategies with policy outcomes, and promoting continuous improvement across programmes. Key Responsibilities Programme Leadership & Strategy Shape and oversee delivery strategy for cloud and DevOps programmes aligned to public sector transformation goals Develop delivery roadmaps and prioritise initiatives based on organisational impact and stakeholder needs Drive cross-departmental alignment to ensure consistent delivery frameworks and shared objectives Team & People Management Lead multidisciplinary agile teams including cloud engineers, DevOps specialists, analysts, and testers Mentor, coach, and support performance development to build a high-performing delivery culture Ensure effective resource planning to support sprint velocity and long-term delivery capacity Cloud Architecture & Engineering Oversight Oversee delivery of cloud-native architectures, container platforms, and hybrid infrastructure solutions Guide adoption of Infrastructure as Code (IaC) and automation practices Collaborate on designs for scalability, resilience, and high availability across platforms Delivery Operations & Agile Governance Manage sprint planning, backlog prioritisation, and iterative delivery using agile methodologies Track and report delivery metrics such as deployment frequency, lead time, and change failure rate Maintain delivery cadence and artefacts using tools such as Jira, Azure DevOps, or equivalent Stakeholder & Vendor Engagement Build strong relationships with internal teams, government departments, citizens, and suppliers Manage third-party delivery performance and SLA adherence Communicate effectively with both technical and non-technical stakeholders to drive transparency and consensus Innovation & Continuous Improvement Promote continuous improvement, learning, and feedback across delivery teams Evaluate emerging DevOps tools, cloud patterns, and delivery models Lead retrospectives and encourage knowledge sharing across programmes Experience Required The Delivery Lead will be a well-rounded service delivery professional with experience across applications, infrastructure, or digital services, and will demonstrate: Proven service delivery experience in legacy and/or digital environments Detailed working knowledge of the Industrialised Delivery Model Ability to interpret and work effectively with client contracts Experience producing mitigations for failed SLAs where required Strong documentation skills for client-facing materials and governance Confident communication and presentation skills with senior management and clients Practical working knowledge of ITIL Effective negotiation and stakeholder management capabilities If you'd like to discuss this Cloud Delivery Lead in more detail, please send your updated CV to (url removed) and I will get in touch.