51 to 69 of 69 Remote Infrastructure Management Jobs

About the role Parse chaos into structure. You'll help build the engine that analyzes and fixes infrastructure across thousands of codebases. You'll ship fast, and work with other engineers to dig deep into weird bugs and performance issues. What we're looking for: GMT+2 to GMT-6 time zone Strong Golang (or equivalent) experience. You write idiomatic … something from scratch that you're proud of. You'll thrive in an amazing, experienced, hardworking, respectful, supportive, and fun team. (Preferred) Familiarity with Terraform, Kubernetes, and AWS for infrastructure management. We use these tools and so do our customers. Examples of challenges we have worked on recently: Built the best-in-class Terraform static analysis engine . We … as gracefully handling incomplete data. Scaled to support customers with thousands of GitHub organizations and tens of thousands of repositories . We've overhauled our APIs, interfaces, onboarding processes, infrastructure, and more. Automatically fixing infrastructure issues . With infrastructure changes there's a lower tolerance for AI-generated slop - there's not the same safety nets in More ❯

effective Azure environments and CI/CD automation. This is a key role in a growing organisation, presenting the opportunity to have real influence across the business, working across Infrastructure and Software Development teams to drive innovation and efficiency. As Cloud DevOps Engineer, you'll be responsible for designing and implementing robust cloud infrastructure and automation pipelines. You … client's organisational capability by mentoring colleagues and embedding best practices. Key Responsibilities Design and automate DevOps strategies for deploying APIs, web apps, and services on Azure. Manage Azure infrastructure to ensure scalability, reliability, and cost-efficiency. Build and maintain CI/CD pipelines, monitor performance, and resolve issues. Work with developers, testers, and infrastructure teams to streamline … delivery. Lead documentation and continuous improvement of DevOps processes. Stay current with Azure DevOps features and apply enhancements. Support stakeholder management and challenge delivery scope where needed. Challenge colleagues and contribute to organisational capability development. Identify opportunities to improve customer experience through technology. Promote company values and drive standards across teams. About You Strong experience in Azure DevOps and More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million … and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient. Take ownership of critical ML/infra incidents, ensuring … Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab More ❯

Rate: up to £184 p/d Umbrella inside IR35 Clearance required: Active SC Clearance is desired but SC eligible will be accepted. Role purpose/summary Support the management and delivery of cloud hosting and technology services, ensuring reliability and scalability. Assist in defining and implementing service strategies aligned with business and IT objectives. Participate in incident, problem … and change management processes to maintain service stability. Collaborate with stakeholders to ensure service expectations and SLAs are met. Contribute to continuous improvement initiatives to enhance service efficiency and effectiveness. Conduct risk assessments and support mitigation strategies for cloud and technology operations. Work with technical teams to ensure best practices are followed in cloud hosting and infrastructure management. … service performance metrics and report on key operational insights. Ensure compliance with security standards, governance policies, and regulatory requirements. Key Skills/requirements Experience in cloud hosting, IT service management, or technology operations. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Strong analytical and problem-solving skills. Ability to collaborate effectively within a cross-functional team. More ❯

Rate: up to £184 p/d Umbrella inside IR35 Clearance required: Active SC Clearance is desired but SC eligible will be accepted. Role purpose/summary Support the management and delivery of cloud hosting and technology services, ensuring reliability and scalability. Assist in defining and implementing service strategies aligned with business and IT objectives. Participate in incident, problem … and change management processes to maintain service stability. Collaborate with stakeholders to ensure service expectations and SLAs are met. Contribute to continuous improvement initiatives to enhance service efficiency and effectiveness. Conduct risk assessments and support mitigation strategies for cloud and technology operations. Work with technical teams to ensure best practices are followed in cloud hosting and infrastructure management. … service performance metrics and report on key operational insights. Ensure compliance with security standards, governance policies, and regulatory requirements. Key Skills/requirements Experience in cloud hosting, IT service management, or technology operations. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Strong analytical and problem-solving skills. Ability to collaborate effectively within a cross-functional team. More ❯

+ Excellent Benefits I’m working with a well-established, technology-driven business based in Northampton , which is currently hiring a Senior Cloud Network Engineer to join their experienced infrastructure team. In this role, you’ll take ownership of network design, delivery, and support across both on-premise and AWS cloud environments . Acting as the Network Lead , you … Be Doing Lead and deliver network projects from design to implementation. Resolve complex and escalated network support issues. Manage and maintain cloud networking services in AWS . Collaborate with infrastructure and cloud teams to enhance performance and security. Develop and maintain technical documentation and network standards. Provide mentoring and guidance to junior engineers. What You’ll Bring Strong background … in network engineering and infrastructure management. Expertise with major networking vendors (Cisco, Fortinet, Palo Alto, etc.). Hands-on experience with AWS networking (VPC, Transit Gateway, Direct Connect, etc.). Excellent troubleshooting skills across LAN/WAN environments. Experience working in hybrid or cloud-first environments. A collaborative, proactive approach with an eye for continuous improvement. Why Join? Hybrid More ❯

you are responsible for defining, driving, and executing Aesir Interactive's technological and IT strategy. You lead the entire Technology and IT Department, including Programming, Tech Art, Tools & Pipeline, Infrastructure, and Engine Development. You ensure that all technical and IT processes, architectures, and workflows align with the company's creative ambitions, financial goals, and long-term business vision. Reporting … s global technology and IT strategy, ensuring alignment with creative, operational, and business objectives. Lead and manage the Technology & IT Department, including all Directors, Leads, Principals, and Experts. Oversee infrastructure, networking, cybersecurity, and IT operations, ensuring reliability, security, and scalability. Drive TCO (Total Cost of Ownership), budgeting, and investment planning across all technology and IT domains. Develop and manage … long-term financial and resource strategies for technical operations and infrastructure growth. Oversee all technical projects, ensuring adherence to timelines, quality standards, and financial frameworks. Collaborate closely with the CEO and other C-level executives to align technological innovation with corporate strategy. Promote technological innovation and digital transformation through the adoption of emerging tools, AI, and automation. Implement KPI More ❯

mission to deliver cutting-edge IT solutions that help businesses thrive. With a reputation for excellence, we provide a full suite of IT services, including cloud solutions, cybersecurity, and infrastructure management. They're committed to empowering our clients by delivering strategic, reliable, and scalable technology services. As they continue to grow, we are looking for a driven and dynamic … a consultative selling approach with the help of your team Proposal Development : Work closely with the technical team to create and present tailored solutions that address client needs. Pipeline Management : Maintain a robust sales pipeline, ensuring regular follow-ups and timely progression of opportunities. Market Insight : Stay up-to-date with industry trends, competitor activity, and client needs to … adjust strategies accordingly. Collaboration : Work closely with internal teams (pre-sales, technical support, project management) to ensure seamless delivery of services. Reporting : Provide regular updates on sales activity, forecasts, and achievements to senior management. Key Requirements: Proven Experience : 3+ years of experience in a similar role with a focus on new business development. MSP or IT services industry experience More ❯