13 of 13 Remote/Hybrid Cloud Native Jobs in Berkshire

East Sussex, who are expanding their IT Team due to organic growth. Joining a dynamic team focusing on supporting Medica's transition to a cloud‐native technology landscape. Reporting to the Technical Director, this role is responsible for building and maintaining the automation, infrastructure, and secure deployment architecture … operational applications. The DevOps Engineer will work closely with software engineering, data engineering, and infrastructure teams to design secure, scalable, and highly available cloud environments, ensuring consistent and rapid software delivery. This position is central to improving performance, strengthening security, and accelerating delivery as Medica modernises its technology estate ...

workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required … processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native ...

solutions for customers. Pedigree: Seasoned Founding Team. Our leadership team has spent decades in technology delivery, working through the mega trends of Internet, Public Cloud and now AI. Your Skills: Experience with Azure s native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python … C# skills, VS Code (ideally with AI tools like Copilot), familiarity with Docker, Kubernetes, and scalable cloud-native architecture, and a track record of working in agile teams using Azure DevOps for CI/CD and automated testing. Who we are: At Neologik, we re redefining how businesses ...

permanent basis on behalf of an innovative and industry leading SaaS organisation. In this role, you will work at the heart of their cloud-native systems, automating and optimizing their infrastructure while ensuring the highest levels of security, reliability, and scalability. This is a great opportunity to create … solutions as well to work in a purpose-driven company! Requirements: Proven experience (5+ years) in a DevOps or similar role, ideally within a cloud-first, SaaS, or high-availability environment. Strong expertise with Azure (preferred), AWS, or Google Cloud and familiarity with cloud-native tools ...

platform teams, and business stakeholders.Translate customer business goals into compelling transformation strategies powered by Dynatrace.Lead high-impact technical discovery and executive conversations around observability, cloud modernization, AI adoption, security, automation, and business outcomes.Shape account strategy with Sales and Solution Engineering teams for complex, multi-stakeholder deals.Develop board-level … strategies that expand platform value over time.What will help you succeed12+ years of experience in enterprise technology, including senior roles in architecture, engineering, observability, cloud, security, or technical go-to-market leadership.5+ years in a customer-facing leadership role such as Field CTO, Enterprise Architect, CTO Advisor, Chief Architect ...

into sign language - making information truly accessible for everyone. They're small, scrappy, ambitious, and working on a platform that combines AI, microservices, and cloud-native infrastructure to transform how sign language is delivered at scale. Why Join? Zero tech debt: Build from the ground up - clean slate. … about inclusion and accessibility - especially for overlooked communities Our tech stack Frontend & Backend React, Nuxt, JavaScript/TypeScript FastAPI, Node.js REST, CRUD, GraphQL, WebSockets Cloud & Infra Azure (core platform) Microservices architecture CI/CD via GitHub Actions & Azure DevOps Infrastructure as Code: Terraform, Bicep, Pulumi, etc. Databases & Messaging PostgreSQL ...

Infrastructure/Security Lead Location: Hybrid: Client Site, AND Digital office, Remote. Proximity to Reading/Thames Valley is key Core Tech: Microsoft Azure Cloud, E2E Digital Security, DevOps AND Introduction At AND, we accelerate the development of digital capabilities. In practice, that means helping ambitious leaders and organisations … Tools, Bloomreach, and Amplience) and Salesforce integrations. This role is perfect for a hands‐on technical expert who enjoys the challenge of scaling complex cloud‐native architectures in Azure, driving rigorous security protocols, and taking accountability for managing a team of DevOps/SRE engineers to deliver these ...

need to tick every box, but experience in several of the following will set you up for success: Strong backend engineering experience with cloud‐based systems (Azure, AWS or GCP) Experience designing distributed or event‐driven architectures (Kafka or similar) Proficiency in TypeScript/Node.js and/or Python … Experience building scalable APIs and microservices Working knowledge of containers and cloud‐native delivery approaches Curiosity about AI‐enabled systems and how they scale responsibly Experience with LLMs, AI agent orchestration, or tools such as RAG, vector databases or LangChain is a bonus, but not essential. What ...

powered product features, with the judgement to know where AI earns its place. Strong grounding in modern full‐stack development and cloud‐native delivery on AWS, with the CI/CD and agile practices that keep a team performing at a high level. Enough technical credibility to challenge ...

lifecycle Lead Secure by Design (SbD) assessments for AI initiatives, ensuring the right level of review and controls based on risk Collaborate with Cloud, Data, Networks, and Digital teams to ensure secure configuration of AI infrastructure, including MLOps and compute environments Guide programmes and product teams with clear, practical … security standards and patterns, improving resilience and reducing risk across the organisation Who you are You bring experience in security architecture within IT, cloud, digital, or network environments You have hands-on exposure to AI/ML systems, data platforms, or AI-enabled product design (even ...

managed services environments for a major enterprise organisation. This is an opportunity to influence platform strategy, drive resilience, and lead the evolution of modern cloud-native infrastructure across mission-critical services. You'll work alongside architects, engineering teams, cybersecurity specialists and senior stakeholders to ensure platforms remain secure … objectives and operational requirements. Key responsibilities include: Owning and governing platform architecture across managed service environments Designing and evolving Kubernetes/OpenShift platforms across cloud and on-premise infrastructure Developing resilience, disaster recovery and business continuity strategies Designing and assuring failover and recovery solutions Working closely with cybersecurity teams ...

tooling (e.g., Vite, Webpack). Experience with Tailwind CSS or other utility-first CSS frameworks. Familiarity with headless CMSs, API-first development, and cloud-native environments (Azure preferred). Solid grasp of accessibility standards, responsive design, and performance optimisation. Experience working in Agile teams and using ...

machine learning and generative AI models for use in production systems. Build and operate scalable data pipelines, model training workflows and inference services using cloudnative and managed AI platforms. Collaborate with product managers, engineers and data teams to translate business problems into effective AI solutions. Own the quality, performance … data pipelines and model workflows using tools such as Python, SQL, Spark or similar data processing technologies. Experience deploying and operating AI systems in cloud environments using containerisation, managed ML services or serverless architectures. Understanding of MLOps practices including model versioning, experiment tracking, CI/CD for models ...