review, and implement reporting solutions integrating Tableau with AWS services for seamless data visualization. Design and implement containerized UI applications (frontend & backend) with microservices architecture on AmazonEKS (ElasticKubernetesService). Experience in Infrastructure as Code, scripting (Python/Bash), Helm charts, Docker, and Kubernetes. Experience in reviewing and implementing cloud security best practices. Integrate and … and guidance. Your Profile Essential Skills/Knowledge/Experience: Extensive AWS service knowledge Lambda Avaloq experience ETL (Extract, Transform, Load) Integrating Tableau with AWS services AmazonEKS (ElasticKubernetesService) Infrastructure as Code, scripting (Python/Bash), Helm charts, Docker, Kubernetes Tools like Terraform, Ansible, and Jenkins CI/CD pipelines, DevOps tools, and practices Desirable More ❯
City of London, Greater London, UK Hybrid / WFH Options
Digital Skills ltd
years of experience in AWS cloud infrastructure design, implementation, and management Advanced proficiency with containers and container orchestration tools such as Docker and Kubernetes Extensive background in Configuration Management EKS and Automation Proficient programming skills in at least one language, preferably Python or Go Expert-level experience with Infrastructure as Code tooling such as Ansible, CloudFormation or Terraform Extensive More ❯
years of experience in AWS cloud infrastructure design, implementation, and management Advanced proficiency with containers and container orchestration tools such as Docker and Kubernetes Extensive background in Configuration Management EKS and Automation Proficient programming skills in at least one language, preferably Python or Go Expert-level experience with Infrastructure as Code tooling such as Ansible, CloudFormation or Terraform Extensive More ❯
London, England, United Kingdom Hybrid / WFH Options
Cint
and take end-to-end responsibility for their products. Major elements of our platform include AWS (we make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux More ❯
Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and More ❯
Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and More ❯
Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and More ❯
london (city of london), south east england, united kingdom
Inferity AI
Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and More ❯
and containerised environments What you bring: Deep Linux expertise and fluency in at least one high-level programming language (Python preferred) Strong experience with AWS (VPCs, EC2, ECS/EKS, RDS, S3, etc.) Solid understanding of database systems (Postgres, SQL Server) IaC mastery (Terraform, CloudFormation, Ansible) Passion for monitoring and observability (Grafana, Elastic, PagerDuty, etc.) Familiarity with configuration management More ❯
and containerised environments What you bring: Deep Linux expertise and fluency in at least one high-level programming language (Python preferred) Strong experience with AWS (VPCs, EC2, ECS/EKS, RDS, S3, etc.) Solid understanding of database systems (Postgres, SQL Server) IaC mastery (Terraform, CloudFormation, Ansible) Passion for monitoring and observability (Grafana, Elastic, PagerDuty, etc.) Familiarity with configuration management More ❯
in Terraform, CloudFormation , or similar IaC tools. Experience with CI/CD tools such as GitLab CI, Jenkins, or AWS CodePipeline. Familiarity with containerization and orchestration (e.g., Docker, ECS, EKS). Understanding of networking, security, and IAM in AWS. Experience supporting data platforms (e.g., data lakes, data warehouses, streaming systems). Preferred Qualifications: AWS certifications (e.g., AWS Certified DevOps More ❯
Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS-native components with Databricks. Advanced skills in Infrastructure as Code (IaC) using Terraform for provisioning data infrastructure, including permissions, clusters, jobs, and lakehouse resources. Proven More ❯
Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS-native components with Databricks. Advanced skills in Infrastructure as Code (IaC) using Terraform for provisioning data infrastructure, including permissions, clusters, jobs, and lakehouse resources. Proven More ❯
Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS-native components with Databricks. Advanced skills in Infrastructure as Code (IaC) using Terraform for provisioning data infrastructure, including permissions, clusters, jobs, and lakehouse resources. Proven More ❯
london (city of london), south east england, united kingdom
Mercuria
Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS-native components with Databricks. Advanced skills in Infrastructure as Code (IaC) using Terraform for provisioning data infrastructure, including permissions, clusters, jobs, and lakehouse resources. Proven More ❯
Collaborate with teams to improve reliability, scalability, and deployment efficiency. - Document and standardize technical processes and runbooks. Skills & Experience - 4+ years in SRE, DevOps, or related roles. - Advanced Kubernetes (EKS, GKE, AKS, or RKE); proficient with Kubectl and Helm. - Strong containerization (Docker, microservices with Java/Spring Boot). - CI/CD tools: Jenkins, GitHub Actions, Azure DevOps, ArgoCD. More ❯
Platform Engineering, Site Reliability Engineering (SRE), or DevOps roles supporting cloud-native enterprise environments Proficient in Microsoft Azure and AWS platforms with hands-on experience in Kubernetes (AKS/EKS), Helm charts, and service mesh technologies such as Istio or Linkerd Strong knowledge of CI/CD automation using Azure DevOps, including Repos, Pipelines, and Artifacts Expertise in Infrastructure More ❯
Platform Engineering, Site Reliability Engineering (SRE), or DevOps roles supporting cloud-native enterprise environments Proficient in Microsoft Azure and AWS platforms with hands-on experience in Kubernetes (AKS/EKS), Helm charts, and service mesh technologies such as Istio or Linkerd Strong knowledge of CI/CD automation using Azure DevOps, including Repos, Pipelines, and Artifacts Expertise in Infrastructure More ❯
be considered for this position! Follow ReVybe IT Recruitment on LinkedIn to stay up to date with our latest DevOps and Cloud roles and news. AWS, Platform, Cloud, Kubernetes, EKS, Terraform, CI/CD, Automation etc. More ❯
building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools. Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch). Proficient in Infrastructure as Code using Terraform to manage and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization More ❯
