801 to 825 of 5,311 Infrastructure as Code Jobs in the UK

pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the … multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Front-end: Experience with TypeScript and front-end libraries such as React or Next.js. Startup experience: Experience with a startup work environment and wider ecosystem. Why join us? Work in an environment conducting cutting-edge research in AI. An official More ❯

backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves designing and developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team; however, a background in Machine Learning is not required. We seek a software engineer with experience … z2bz0 years of experience in building reliable, scalable backend systems using object-oriented programming. Cloud-native technologies: Experience with deploying to cloud platforms (AWS, GCP, Azure), containerization (Docker), infrastructure-as-code (Terraform), and observability tools (Datadog, Grafana). Curiosity: Eagerness to learn and develop new skills. Problem-solving: Strong analytical skills and attention to detail More ❯

a significant development in utility computing (UC). To spearhead this initiative, we are actively seeking experienced systems development engineers with a strong background in automation and operations. As part of the AWS Managed Operations team, you will play a pivotal role in building and leading operations and development teams dedicated to delivering high-availability AWS services, including … innovation. Utility Computing (UC) European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in … balancing, load shedding) and experience with monitoring frameworks (such as CloudWatch, Datadog, Grafana, Elastic or similar) - Experience scripting operating system tasks in Bash, Python, etc. and with Infrastructure as Code, (such as CDK, CloudFormation, Puppet, Chef, Ansible, or similar) - Experience operating services in AWS Amazon is an equal opportunities employer. We More ❯

backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves designing and developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team but are not required to have a background in Machine Learning. This is an applied role … development experience: 2-3 years in developing reliable, scalable systems using an object-oriented programming language. Cloud-native technologies: Experience deploying to cloud platforms (AWS, GCP, Azure), containerisation (Docker), infrastructure-as-code (Terraform), and observability tools (Datadog, Grafana). Curiosity: Eagerness to learn and develop new skills. Problem-solving skills: Strong analytical abilities and attention More ❯

we’ll supply the coffee). You also house some pretty impressive techy knowledge in that noggin of yours and you’re always putting it to good use as you foil any complex problems with ease. As our very own DevOps superhero, the Software Engineering team look to you to support them, all while you guide … it comes to consulting with clients and team members Impressive ability to design and implement secure coding standards Never-ending knowledge and experience with Git, GitLab, CI/CD, Infrastructure-as-Code (AWS CDK is a bonus), as well as agile methodologies Enviable knowledge of AWS Cloud, Kubernetes (EKS) and containerised … deployments, as well as experience deploying and maintaining non-containerised solutions Proficient in a common programming language (Python or PHP is a bonus) Oracle of security concepts such as best configuration practices, risk mitigation techniques, threat modelling, incident reporting, Infosec and ISO27001 Cool as a cucumber with Linux and Command-Line Interfaces More ❯

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned … a consultative approach to make the difference. They will be able to work on a vast variety of projects and get exposure to a variety of technology such as (but not exhaustively) ASP.NET Core, C#, Entity Framework, SQL Server, RESTful APIs, and microservices architecture. Our Full Stack Engineers sit within Digital Factory, part of the Business Technology practice … Azure DevOps ) Proficiency with version control systems, primarily Git and familiarity with online repositories ( GitHub , GitLab , etc.) Proven ability to thrive in an agile team environment Desirable Familiarity with Infrastructure as Code tools such as Terraform Experience using Docker and Docker Compose Experience integrating with relational databases (e.g., SQL Server, Postgres ) A strong More ❯

office sites Who are we? If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose. Like the modern Britain we serve, we’re evolving. Investing … Developing of RESTful API services & understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had... Experience in Spring Boot and Hibernate Experience of building … microservice architecture and event driven systems Experience in Test automation: BDD, mocking, contract testing, Sast Exposure to web technologies, data tooling & infrastructure/networking About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that More ❯

office sites Who are we? If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose. Like the modern Britain we serve, we’re evolving. Investing … Developing of RESTful API services & understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had... Experience in Spring Boot and Hibernate Experience of building … microservice architecture and event driven systems Experience in Test automation: BDD, mocking, contract testing, Sast Exposure to web technologies, data tooling & infrastructure/networking About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that More ❯

office sites Who are we? If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose. Like the modern Britain we serve, we’re evolving. Investing … Developing of RESTful API services & understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had... Experience in Spring Boot and Hibernate Experience of building … microservice architecture and event driven systems Experience in Test automation: BDD, mocking, contract testing, Sast Exposure to web technologies, data tooling & infrastructure/networking About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that More ❯

office sites Who are we? If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose. Like the modern Britain we serve, we’re evolving. Investing … Developing of RESTful API services & understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had... Experience in Spring Boot and Hibernate Experience of building … microservice architecture and event driven systems Experience in Test automation: BDD, mocking, contract testing, Sast Exposure to web technologies, data tooling & infrastructure/networking About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that More ❯

office sites Who are we? If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose. Like the modern Britain we serve, we’re evolving. Investing … Developing of RESTful API services & understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had... Experience in Spring Boot and Hibernate Experience of building … microservice architecture and event driven systems Experience in Test automation: BDD, mocking, contract testing, Sast Exposure to web technologies, data tooling & infrastructure/networking About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that More ❯

millions of users across the globe. What's the opportunity? We are seeking an experienced Senior Software Engineer to join our Smoothwall Appliance Team. This critical product functions as a firewall and internet safety filter, providing content filtering, activity reporting, and safeguarding alerts for on-site devices. Your contributions will directly enhance the core functionality of this product … tech stack varies by team but includes: Cloud services in Azure and GCP, RESTful APIs (.Net Core, Go) Single-page applications (Angular, React) Cross-platform clients (C++, Typescript, Swift) Infrastructure as code (ARM, Terraform) Deployment via Docker, Kubernetes, Azure App Service, GCP Cloud Run Version control and CI/CD (Git, Azure DevOps, GitHub Actions More ❯

pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the … multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Front-end: Experience with TypeScript and front-end libraries such as React or Next.js. Startup experience: Experience with a startup work environment and wider ecosystem. Work in an environment conducting cutting-edge research in AI. An official role title of More ❯

pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the … multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Front-end: Experience with TypeScript and front-end libraries such as React or Next.js. Startup experience: Experience with a startup work environment and wider ecosystem. Work in an environment conducting cutting-edge research in AI. An official role title of More ❯

Architect - Professional (or equivalent certification) Proven experience designing and deploying AWS solutions at enterprise scale Strong background in system administration (Linux/Windows), cloud networking, and IPv4 Expertise in Infrastructure as Code using Terraform , AWS CDK , or CloudFormation Experience with containerised environments (Docker, Kubernetes) Strong written and verbal communication skills, especially in secure environments Desirable More ❯

reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing … ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model fine-tuning, and More ❯

reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing … ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model fine-tuning, and More ❯

reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing … ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model fine-tuning, and More ❯

reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing … ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model fine-tuning, and More ❯

reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing … ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model fine-tuning, and More ❯

reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing … ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model fine-tuning, and More ❯

reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing … ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model fine-tuning, and More ❯

reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing … ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model fine-tuning, and More ❯

reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing … ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model fine-tuning, and More ❯

reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and evolve ML playbooks and processes to support a growing … ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs, model fine-tuning, and More ❯