451 to 475 of 2,082 Terraform Jobs in the UK

Preferred Qualifications: Certifications in AWS, Azure, or Databricks. Experience with Snowflake , IBM DataStage , or other enterprise data tools. Knowledge of CI/CD pipelines and infrastructure as code (e.g., Terraform, CloudFormation). Familiarity with data governance frameworks and compliance standards . More ❯

the following: Experience with Linux server and workstation Familiarity with public cloud platforms such as AWS, Azure, or Google Cloud Experience with containerisation and Kubernetes Experience with automation tools (Terraform, Ansible, PowerShell, or Python) Must be DV Cleared or Eligible for DV clearance Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and More ❯

and promote best practices across the tech community. Your Skills & Experience: Proven experience in Enterprise Architecture , especially on AWS platforms. Strong expertise in automation and IaC using tools like Terraform and Ansible. Familiarity with CI/CD pipelines , Kubernetes, GitHub, and cloud-native architectures. An understanding of ITIL frameworks and end-to-end delivery lifecycle. Background in infrastructure and networking More ❯

teams to drive the build, deployment, and optimisation of Azure-based infrastructure. Key Technical Skills & Experience : Strong experience working within Azure DevOps (ADO) Expertise in Infrastructure-as-Code (IaC) – Terraform Automation and scripting skills – PowerShell Proven background in Azure cloud infrastructure design and build Experience designing and implementing new environments from scratch (not just maintaining existing systems) Strong understanding of More ❯

and promote best practices across the tech community. Your Skills & Experience: Proven experience in Enterprise Architecture , especially on AWS platforms. Strong expertise in automation and IaC using tools like Terraform and Ansible. Familiarity with CI/CD pipelines , Kubernetes, GitHub, and cloud-native architectures. An understanding of ITIL frameworks and end-to-end delivery lifecycle. Background in infrastructure and networking More ❯

and promote best practices across the tech community. Your Skills & Experience: Proven experience in Enterprise Architecture , especially on AWS platforms. Strong expertise in automation and IaC using tools like Terraform and Ansible. Familiarity with CI/CD pipelines , Kubernetes, GitHub, and cloud-native architectures. An understanding of ITIL frameworks and end-to-end delivery lifecycle. Background in infrastructure and networking More ❯

be great if you also: Want to progress into a Lead DevOps or Cloud Architect role Are interested in higher levels of security clearance Tech you’ll work with: Terraform, Kubernetes (EKS/ECS), Git, Ansible, Elastic Stack, Jenkins, GitLab, AWS (EC2, VPC, EBS, Transit Gateway), and general cloud networking concepts. What’s on offer: £50,000 - £70,000 salary More ❯

Engineer – Associate or Professional level) 5+ years’ experience in cloud architecture, design, and implementation Expertise with AWS services such as EC2, S3, RDS, Lambda, VPC, IAM, and CloudFormation or Terraform Strong experience with DevOps tools (Git, Jenkins, Docker, Kubernetes) Knowledge of cloud security and compliance frameworks (CIS, SOC 2, etc.) Proven track record of leading cloud migration or transformation projects More ❯

Engineer – Associate or Professional level) 5+ years’ experience in cloud architecture, design, and implementation Expertise with AWS services such as EC2, S3, RDS, Lambda, VPC, IAM, and CloudFormation or Terraform Strong experience with DevOps tools (Git, Jenkins, Docker, Kubernetes) Knowledge of cloud security and compliance frameworks (CIS, SOC 2, etc.) Proven track record of leading cloud migration or transformation projects More ❯

performance What You’ll Bring: Strong backend engineering experience, especially in Java and Spring Deep understanding of distributed systems and microservices Hands-on experience with AWS , Kubernetes , Docker , and Terraform Familiarity with CI/CD pipelines and testing best practices Solid SQL and relational database skills Ownership mentality, with strong problem-solving skills and attention to detail Great communication and More ❯

performance What You’ll Bring: Strong backend engineering experience, especially in Java and Spring Deep understanding of distributed systems and microservices Hands-on experience with AWS , Kubernetes , Docker , and Terraform Familiarity with CI/CD pipelines and testing best practices Solid SQL and relational database skills Ownership mentality, with strong problem-solving skills and attention to detail Great communication and More ❯

performance What You’ll Bring: Strong backend engineering experience, especially in Java and Spring Deep understanding of distributed systems and microservices Hands-on experience with AWS , Kubernetes , Docker , and Terraform Familiarity with CI/CD pipelines and testing best practices Solid SQL and relational database skills Ownership mentality, with strong problem-solving skills and attention to detail Great communication and More ❯

Engineer – Associate or Professional level) 5+ years’ experience in cloud architecture, design, and implementation Expertise with AWS services such as EC2, S3, RDS, Lambda, VPC, IAM, and CloudFormation or Terraform Strong experience with DevOps tools (Git, Jenkins, Docker, Kubernetes) Knowledge of cloud security and compliance frameworks (CIS, SOC 2, etc.) Proven track record of leading cloud migration or transformation projects More ❯

Engineer – Associate or Professional level) 5+ years’ experience in cloud architecture, design, and implementation Expertise with AWS services such as EC2, S3, RDS, Lambda, VPC, IAM, and CloudFormation or Terraform Strong experience with DevOps tools (Git, Jenkins, Docker, Kubernetes) Knowledge of cloud security and compliance frameworks (CIS, SOC 2, etc.) Proven track record of leading cloud migration or transformation projects More ❯

Engineer – Associate or Professional level) 5+ years’ experience in cloud architecture, design, and implementation Expertise with AWS services such as EC2, S3, RDS, Lambda, VPC, IAM, and CloudFormation or Terraform Strong experience with DevOps tools (Git, Jenkins, Docker, Kubernetes) Knowledge of cloud security and compliance frameworks (CIS, SOC 2, etc.) Proven track record of leading cloud migration or transformation projects More ❯

and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory More ❯

Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs Setting up ML nodes for distributed training and local development Managing containerised environments (Docker, Kubernetes, Terraform) Optimising storage for big data pipelines supporting ML workloads Monitoring systems and responding to incidents, ensuring reliability and performance Working closely with ML engineers and researchers to integrate infra with More ❯

and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory More ❯

and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory More ❯

and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory More ❯

and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory More ❯

and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory More ❯

and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory More ❯

Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs Setting up ML nodes for distributed training and local development Managing containerised environments (Docker, Kubernetes, Terraform) Optimising storage for big data pipelines supporting ML workloads Monitoring systems and responding to incidents, ensuring reliability and performance Working closely with ML engineers and researchers to integrate infra with More ❯

and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory More ❯