701 to 725 of 2,010 Infrastructure as Code Jobs

requests across digital platforms and environments. Build, maintain, and optimize deployment pipelines across environments. Participate in the agile process, working closely with development teams to review, design, and implement infrastructure decisions. Maintain documentation for platforms, services, and pipelines. Audit activities to ensure compliance with security policies (including PCI DSS, GDPR, and PII). Perform root‐cause analysis and implement … Strong hands‐on experience with Azure services (IaaS, PaaS, SaaS), deploying highly available and resilient applications. Expertise with CI/CD pipelines using Azure DevOps and GitHub. Skilled in Infrastructure‐as‐Code using Pulumi, ARM, or Terraform, and proficiency in PowerShell, YAML, Python, or TypeScript. Knowledge of frontend technologies (HTML, CSS, JavaScript) and experience supporting … web applications. Experience working with synthetic and application monitoring platforms such as Dynatrace and Catchpoint. Understanding of .NET applications and experience making small code changes when required. Knowledge of Akamai or similar CDNs, perimeter security, and OWASP security guidelines. Strong networking experience across DNS, routing, load balancers, and firewalls. Skilled with enterprise‐level deployments across microservices More ❯

Docker, Docker Compose Experience with CI/CD (Gitlab, GitHub, Jenkins) Experience with cloud technologies such AWS or Azure Experience working in an agile team environment Desirable Familiarity using Infrastructure as Code tools such as Terraform Familiarity building and integrating with NoSQL database (familiarity with MongoDB is preferred) or SQL databases such as Postgres Familiarity with web standards, accessibility, and development best practice Bonus: Building microservices in C# Experience building solutions that integrate with LLMs using tools such as Vercel AI, Langchain etc. Using the GOV.UK Design System and using Nunjucks More ❯

We are seeking a proactive and technically proficient individual to help architect, maintain, and optimise the core infrastructure that supports our mission-critical technology platforms. This individual will join a high-performing team tasked with designing and sustaining resilient, secure, and high-availability systems that meet rigorous uptime standards in a round-the-clock operational environment. The ideal candidate … is resourceful, detail-oriented, and thrives in a fast-paced, solutions-focused culture. You should be comfortable managing a wide range of responsibilities, from complex infrastructure design to hands-on troubleshooting, and be equally confident working independently or as part of a cross-functional team. What You'll Be Doing Design, implement, and support technical infrastructure … health and system performance across a hybrid on-prem and cloud environment. Conduct proactive capacity planning and performance tuning to prevent downtime and service degradation. Lead technical initiatives involving infrastructure upgrades, migrations, patching, and lifecycle management. Serve as a technical liaison to InfoSec, DevOps, and architecture teams to ensure system reliability, data integrity, and platform scalability. Manage More ❯

maintain full-stack solutions using .NET Core , C# , and React/Angular/Blazor Build and optimise REST APIs , background services, and Azure Functions Architect modular and testable code following DDD or clean code principles Implement CI/CD pipelines with Azure DevOps , including testing … and release automation Work with Azure services like App Services , API Management , Blob Storage , Key Vault , and more Optimise database performance across Azure SQL/SQL Server Contribute to infrastructure-as-code and DevOps tooling (ARM, Bicep, or Terraform - nice to have) Core Tech Stack .NET Core/ASP.NET Core/C# React/Angular …/CD, deployment slots, feature flags You'll Thrive If You Have: A strong understanding of cloud-first, event-driven architectures The ability to write clean, efficient, maintainable code Experience in optimising performance (lazy loading, reducing unused JS, smart rendering with useMemo/useCallback) Solid problem-solving skills with a focus on scalability and security Experience working in More ❯

Our roster has an opening with your name on it! We are seeking a Staff Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you'll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics … collaborating with peers and raising the bar for engineering excellence Lead Strategic Initiatives Partner with data platform teams, analytics, and data science to deliver reusable data assets and shared infrastructure Identify and resolve architectural bottlenecks in the current data platform and propose improvements that reduce complexity and boost performance Drive initiatives that improve data quality, lineage, observability, and system … support analytics, machine learning, and operational workloads Familiarity with data governance, privacy, and compliance frameworks Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS) Experience with infrastructure-as-code and data platform observability (e.g., Terraform) What You Can Expect Interesting work - working in a fast-paced and ever-changing industry, new problems More ❯

powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine … learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference … of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar More ❯

powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine … learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference … of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar More ❯

duties as required. Deploying, maintaining, monitoring and upgrading production deployments of ARIC Risk Hub SaaS and third-party integrated services Building software and systems to manage platform infrastructure and applications Continually evaluating and improving our technology and processes to increase quality, decrease costs and improve time-to-market Periodically testing the service with predictable and unpredictable failures … improved ARIC Risk Hub capabilities This is a hybrid position. There is an expectation of 3 days in the office per week. Required experience: Hands-on experience administering cloud infrastructure or building cloud-native applications (preferably on AWS) Bachelor's, Master's, or higher qualification in Computer Science or a related field Comfortable using AWS EC2 Proficiency with command … line tools and shell scripting Experience with infrastructure as code and configuration management Proficiency in one or more programming languages (e.g., Python) Solid understanding of networking fundamentals (DNS, routing, firewalls) Experience with version control tools such as Git Familiarity with CI/CD pipelines and tools Proficient in setting up and managing monitoring More ❯

powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine … learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference … of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar More ❯

powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine … learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference … of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar More ❯

powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine … learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference … of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar More ❯

powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine … learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference … of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar More ❯

powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine … learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference … of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar More ❯

powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine … learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference … of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar More ❯

powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine … learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference … of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar More ❯

powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine … learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference … of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar More ❯

powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine … learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference … of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar More ❯

creating and implementing innovative technical solutions for the GSM-O program. Lead architectural design and technical planning, including roadmap development and implementation of modern techniques and technologies such as Cloud (AWS), Software Defined Networking (SDN), AIOps, AI/ML, Elasticsearch, and Kafka. Develop and maintain complex solution architectures and design documentation, ensure alignment with strategic objectives and program … technologies, platforms or enhancements which could expand or enhance the GSMO-II program. Support the design, implementation, and execution of test cases and testing framework for the instantiation of infrastructure as code in environment to verify the quality of deployed code. Author and execute User Acceptance strategies, plans and scripts for the innovation's deployment. … Management Processes, Experience architecting cloud-based AWS services, SecDevOps processes, cloud migrations, and cloud enterprise software implementations. Experience with DevOps/DevSecOps, Configuration as Code, Infrastructure as Code, and CI/CD implementation. Experience architecting solutions for Elastic, Kibana, Kafka, Robotic Process Automation (UiPath), and ServiceNow. Completed certifications in system architecture More ❯

Backend Vision: Define and evolve the architecture of our backend systems, ensuring they are scalable, secure, and aligned with long-term product strategy. Align Engineering with Strategy: Act as a technical counterpart to product and business stakeholders, translating company objectives into backend initiatives with measurable impact. Drive End-to-End Ownership: Take accountability for backend projects from concept … Node.js, and backend frameworks such as NestJS, Flask, Fastify, or FastAPI. Cloud Expertise: Hands-on experience with AWS services like RDS, DynamoDB, S3, Lambda, EC2, and SQS. Infrastructure as Code: Experience with Terraform or similar tools for infrastructure automation. High-Throughput Systems: Strong experience in real production projects handling large-scale data … Vue.js Adoption of TypeScript, NestJS, BullMQ, and Prisma for backends in an opinionated monorepo approach Amazon RDS, DynamoDB, S3 Container orchestration with Kubernetes and CI/CD using GitLab Infrastructure provisioning on AWS using Terraform Leveraging the serverless framework on AWS Lambda for high-throughput endpoints Work Setup: Hours : 40 hours per week (based on trust) Home Office Policy More ❯

in. 2025 is a big year for us. In January, we announced a game changing deal to become part of the IG Group. We'll continue to operate as an independent business while gaining access to the resources and support of an established leader in the space. This year, we're accelerating our roadmap and taking our products … also exploring how we can leverage AI to deliver an even better experience for our customers. We're on a mission to build a secure, scalable, and resilient cloud infrastructure-and we're looking for a Senior Cloud Security Engineer to lead the way. In this foundational role, you'll architect and build our cloud security program from the … enforce cloud security policies, including Identity and Access Management (IAM) , Web Application Firewalls (WAFs) , and network segmentation strategies . Review System Architecture and Design: Conduct in-depth architecture and infrastructure reviews to uncover insecure design patterns and recommend secure alternatives. Audit Configurations and Code: Perform security-focused code and configuration reviews across infrastructure-as More ❯

join our team. We are looking for experienced System Engineers to join our technology-based program supporting a key Government customer. This program will deliver engineering services for network infrastructure as well as sophisticated enterprise computing infrastructure including end-point devices, data center hosted servers, multi-Cloud services as well as … and storage systems. Enterprise Computing Engineering services include modern application technology including containerized solutions with orchestrated workflow that function both on customer premise, and via remote Cloud services. Network infrastructure engineering services are comprised of core infrastructure, voice and video engineering, field engineering, application management and development for networks, network analytics, firewalls, network access controls and bandwidth service … Based Systems Engineering (MBSE) Automation tools (e.g. Ansible, Chef, Puppet, Terraform, etc.) Knowledge of Security Development Operations (SecDevOps) on iterative development projects Cloud design, implementation, and configuration Knowledge of Infrastructure as Code Knowledge of Agile development principles. Knowledge of modern software languages (e.g. Java, C, C++, C#, Python, Perl, etc.) Job Requirements Active TS/ More ❯

Engineer (Contract) | £650-£700 p/day (IIR35) | Glasgow (5 days onsite) We're looking for a Senior Azure DevOps Engineer for a high profile client. The role is infrastructure- and deployment-focused (not development) and requires strong Terraform and Azure expertise. You'll be working on critical cloud initiatives including Subscription Factory and Fleet Management within a collaborative … IIR35) Based: Glasgow, 5 days a week Length: 6 months contract (strong possibility of extension) Start: ASAP Key responsibilities: Manage and refine CI/CD pipelines Provision and maintain infrastructure in Azure using Terraform Execute and improve runbooks for environment deployment and … adjustments Work with Azure services, subscriptions, networking, and event brokers Collaborate within an Agile, sprint-based delivery model (Scrum/Kanban hybrid) Requirements: Strong hands-on experience with Terraform (IaC) Deep knowledge of Azure core infrastructure Familiarity with CI/CD pipelines (Jenkins preferred) Solid understanding of Azure networking, identity, and event systems Ability to work in a self More ❯

role is about more than just administration - you'll tackle performance tuning, automation, and hands-on data centre troubleshooting. What You'll Do: Design, implement, and maintain Linux server infrastructure Tune Kernel parameters and optimise system performance for low-latency, high-throughput applications Develop and refine automation solutions using Ansible, Python, and Terraform Troubleshoot hardware, networking, and performance issues … critical environments Proficiency in Python and bash Scripting, with hands-on Ansible experience Solid networking fundamentals: IP Addressing, VLANs, etc. Familiarity with observability tools like Prometheus, Grafana, and ELK Infrastructure-as-code experience with Terraform and CI/CD pipelines Proven ability to resolve complex system-level issues and performance challenges Knowledge of container orchestration More ❯

role is about more than just administration - you'll tackle performance tuning, automation, and hands-on data centre troubleshooting. What You'll Do: Design, implement, and maintain Linux server infrastructure Tune Kernel parameters and optimise system performance for low-latency, high-throughput applications Develop and refine automation solutions using Ansible, Python, and Terraform Troubleshoot hardware, networking, and performance issues … critical environments Proficiency in Python and bash Scripting, with hands-on Ansible experience Solid networking fundamentals: IP Addressing, VLANs, etc. Familiarity with observability tools like Prometheus, Grafana, and ELK Infrastructure-as-code experience with Terraform and CI/CD pipelines Proven ability to resolve complex system-level issues and performance challenges Knowledge of container orchestration More ❯

brand story. Create design wireframes and prototypes Design and present UX demonstrations to stakeholders Hand off designs to developers for implementation Collaboration: Work closely with software engineering, DevOps, and infrastructure teams. Continuous Improvement: Regularly evaluate current processes and systems, identifying areas for improvement and implementing enhancements. Required Skills/Qualifications/Duty Experience Essential: Strong verbal and written communication … Excellent time management and organizational skills Understanding of basic design principles Deep familiarity with agile software development Comprehensive fluency with component libraries Keen understanding of design software such as Storybook, Sketch, and InDesign Comfortability with at least one programming language such as HTML, CSS … or JavaScript Willingness to iterate work output based on feedback Strong understanding of distributed systems, fault tolerant design, and high availability architectures. Knowledge of CI/CD pipelines and infrastructure as code tools (Terraform, Ansible, CloudFormation). Experience in root cause analysis and implementing systemic improvements. Preferred: Significant experience with UX/UI writing or More ❯