of use cases, including data platforms, application hosting, and enterprise workloads. Define cloud-native architectures leveraging services such as EC2, S3, Lambda, RDS, Aurora, EKS, and more. Develop secure cloud infrastructure aligned with regulatory and compliance requirements (e.g., PCI DSS, ISO 27001, SOC 2, GDPR). Enforce best practices More ❯
london, south east england, United Kingdom Hybrid / WFH Options
GL Global
of use cases, including data platforms, application hosting, and enterprise workloads. Define cloud-native architectures leveraging services such as EC2, S3, Lambda, RDS, Aurora, EKS, and more. Develop secure cloud infrastructure aligned with regulatory and compliance requirements (e.g., PCI DSS, ISO 27001, SOC 2, GDPR). Enforce best practices More ❯
like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using AWS (SageMaker, EC2, EKS, Lambda) or equivalent platforms. • Performance Optimization: Implement monitoring, logging, and optimization strategies to meet latency, throughput, and availability requirements across ML services. • Collaboration: Work More ❯
like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using AWS (SageMaker, EC2, EKS, Lambda) or equivalent platforms. • Performance Optimization: Implement monitoring, logging, and optimization strategies to meet latency, throughput, and availability requirements across ML services. • Collaboration: Work More ❯
like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using AWS (SageMaker, EC2, EKS, Lambda) or equivalent platforms. • Performance Optimization: Implement monitoring, logging, and optimization strategies to meet latency, throughput, and availability requirements across ML services. • Collaboration: Work More ❯
GCP. Deployment of new cloud infrastructure using Terraform and Terragrunt. Development of CICD pipelines (Gitlab CI) for deployment of our NodeJS microservices to Kubernetes (EKS) clusters using Istio, Docker, Helm, Python and Bash scripting. Supporting developers and other engineers with any pipeline issues. General management and operations of GitLab More ❯
Go, or similar languages for automation and Scripting. Expert-level knowledge of AWS Networking, TLS, and security best practices. Experience with container orchestration (Kubernetes, EKS) and observability tools (Grafana, ELK). A passion for innovation, problem-solving, and delivering high-impact solutions. Why this role: A comprehensive package, including More ❯
Go, or similar languages for automation and Scripting. Expert-level knowledge of AWS Networking, TLS, and security best practices. Experience with container orchestration (Kubernetes, EKS) and observability tools (Grafana, ELK). A passion for innovation, problem-solving, and delivering high-impact solutions. Why this role: A comprehensive package, including More ❯
Go, or similar languages for automation and Scripting. Expert-level knowledge of AWS Networking, TLS, and security best practices. Experience with container orchestration (Kubernetes, EKS) and observability tools (Grafana, ELK). A passion for innovation, problem-solving, and delivering high-impact solutions. Why this role: A comprehensive package, including More ❯
do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (lots of teams are releasing code 15-20 times per day!) Terraform and Grafana In addition to this core More ❯
years of experience in the IT services industry. Strong knowledge of CI/CD pipelines, infrastructure as code (IaC), and containerisation (Docker, Kubernetes, EKS, Fargate etc.). Worked for an AWS Professional Services partner and familiar with all AWS Partner activities, e.g. use of AWS Partner Network portal. Proven More ❯
do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (lots of team are releasing code 15-20 times per day!) Terraform and Grafana Our process: Interviewing is a More ❯
do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (lots of teams are releasing code 15-20 times per day!) Terraform and Grafana The team The Customer Identity More ❯
in ETL, Python, Java, Database access modelling, SQL Optimisation, Low Code tools, AWS cloud. Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes/EKS-based container orchestration) In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having More ❯
and VPN. Experience with configuring and managing reverse proxies (such as Traefik, NGINX, HAProxy, etc). Good knowledge of Kubernetes clusters' operations (we use EKS). Good knowledge of programming using a modern language (Java/Python/Go). Excellent understanding of DevOps principles and SDLC best practices. More ❯
modular infrastructure-as-code projects using tools such as Terraform, CloudFormation, Puppet, and Ansible. Practical experience with Docker and container orchestrators, including AWS ECS & EKS, and Kubernetes. Experience in administering or integrating identity management systems for SSO, including AWS IAM, Okta, and Active Directory. Experience with disaster recovery and More ❯
is highly desirable. Should have a solid understanding of and experience deploying the following AWS services: OU VPC IAM Route 53 Load balancer EC2 EKS The candidate should have solid experience with AWS CloudFormation and a working knowledge of Terraform and Kubernetes The candidate should have experience interfacing between More ❯
code. Good knowledge of at least one of PyTorch, Keras, or Tensorflow. Working knowledge of core AWS concepts and services such as EC2, ECS, EKS, and DynamoDB. Good knowledge of DevOps and MLOps tools, including usage of Git, Bash, UNIX, Docker, containers and CI/CD pipelines (GitHub Actions More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
NLP PEOPLE
ability to mentor and lead technical teams, influence technical strategy, and drive innovation in fast-paced environments. Expertise in containerization (e.g., Docker, Kubernetes, AWS EKS) and building scalable systems in cloud environments. Deep understanding of software development fundamentals, including automated testing, source version control, and code optimization. Excellent communication More ❯
in globally distributed data centers (e.g. break-fix, baseband/firmware updates). Built or maintained on-premise and cloud Kubernetes clusters: Kubadm, Kind, EKS, GKE Built or operated automation & orchestration frameworks for deployment & maintenance pipelines: e.g. kafka, stackstorm, ansible, argocd, terraform to push out code or configuration updates More ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
Daniel James Resourcing Ltd
one Hybrid working with a Manchester hub (just one day a week on-site) Youll bring: Deep hands-on experience with AWS (EC2, ECS, EKS, Lambda, S3, VPC, etc.) Strong infrastructure-as-code skills (Terraform ideally) Experience building secure, automated, resilient cloud platforms at scale Proficiency with CI/ More ❯
similar role Experience in managing a team of Data Engineers Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines and More ❯
utilizing AWS Lambda, API Gateway, DynamoDB, Step Functions, and related services. Implement and optimize AWS infrastructure services (EC2, S3, RDS, VPC, CloudFormation, IAM, ECS, EKS, etc.). Collaborate with stakeholders to analyze current application architecture, design migration strategies, and create detailed migration runbooks. Automate infrastructure deployment and management through … on experience with AWS Lambda and serverless architecture patterns. Strong expertise across the full AWS services ecosystem (eg, EC2, S3, RDS, VPC, IAM, ECS, EKS, SQS, SNS, CloudWatch, CloudTrail, etc.). Proficient in Infrastructure as Code (CloudFormation, Terraform, or AWS CDK). Experience with AWS migration tools (AWS Migration More ❯
