10 of 10 Permanent Amazon CloudWatch Jobs in Slough

Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals and secure stream processing Experience with monitoring tools (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, IaC, and DevSecOps delivery Must hold UK*C or Enhanced DV (eDV) Clearance – sole British nationals only More ❯

AWS CodePipeline Excellent problem-solving skills and attention to detail Effective communication and teamwork skills Preferred Skills: AWS certifications (e.g., AWS Developer Associate) Experience with monitoring and logging tools (CloudWatch, ELK Stack More ❯

projects in this company. Some you the AWS services you will get to use include: EC2, DynamoDB, Elastic Beanstalk, Route 53, Lambda, Cloudfront, AWS Firewall Manager, Terraform, Certificate Manager, Cloudwatch, CloudTrail and SNS/SQS. Requirements: - AWS experience - Cisco and Juniper switches/firewalls - Linux based servers or similar Apply: Kristian AT enterpriserecruitment DOT com Position: DevOps Engineer - Wearables More ❯

or React Comfortable mentoring developers and influencing technical direction Experience in financial services or a data-heavy B2B environment is a plus 🛠 Tech Stack: Node.js , Python , AWS (Lambda, DynamoDB, CloudWatch, CloudFormation), PostgreSQL, Elasticsearch, Terraform 📍 Location: Hybrid, based in London (Victoria) — flexible home/office split Please apply now More ❯

code, GPU orchestration, and production deployment with full ownership from concept to delivery. What You Will Work On Cloud Infrastructure: Building distributed systems on AWS (EC2, EKS, S3, IAM, CloudWatch) Infrastructure as Code: Pulumi or Terraform for reproducible environments Model Deployment: Pipelines for inference, versioning, and scaling Security: IAM, secrets management, and secure runtime environments Collaboration: Working side by More ❯

and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application deployment (Bitbucket Pipelines) Create API documentation and developer tools What we are looking for 5+ years backend development experience with production More ❯

tools. Familiarity with CI/CD practices and Infrastructure-as-Code tools (Terraform, CloudFormation, or similar). Experience setting up alerting, logging, and monitoring for data pipelines (e.g., using CloudWatch, Datadog). Comfortable collaborating with data scientists and analysts to productionise models or build reusable data assets. A track record of automating manual processes and designing systems to scale More ❯

Own and improve CI/CD pipelines in Azure DevOps Deploy and manage Kubernetes workloads via Helm Build and evolve observability dashboards and alerting with tools such as LogicMonitor , CloudWatch, and Prometheus Integrate scanning tools (e.g. SonarQube) with automated alerting and dashboarding Collaborate with platform engineers on AI-powered enhancements , including: GitHub Copilot & AI-assisted development AI agents for … KMS, Route53, VPC, S3) IaC : Terraform (with terraform-aws-modules), remote backends Kubernetes : EKS, Helm, kubectl, raw manifests CI/CD : Azure DevOps Pipelines, container-based runners Observability : LogicMonitor , CloudWatch, Prometheus, Grafana (nice to have) Security & Scanning : SonarQube, AWS security tools Scripting : Bash , PowerShell , AWS CLI You Should Have Strong experience with Terraform and AWS Solid knowledge of Kubernetes More ❯

and maintain IBM DataPower Gateway services to meet project requirements. Collaborate closely with mainframe teams to understand interdependencies and troubleshoot integration points where necessary. Monitor AWS cloud resources including CloudWatch for logging and alerting, DynamoDB for database management, and AWS Lambda for serverless compute tasks related to project workflows. Implement best practices for environment stability, performance tuning, and security … Qualifications: Proven experience in IBM DataPower development, configuration, and troubleshooting within enterprise environments. Familiarity with mainframe systems, integration with DataPower where applicable. Good working knowledge of AWS services, particularly CloudWatch, DynamoDB, and Lambda, including monitoring, troubleshooting, and optimisation. Excellent verbal and written communication skills to effectively articulate technical issues and solutions. Ability to work under pressure and manage multiple More ❯

and maintain IBM DataPower Gateway services to meet project requirements. - Collaborate closely with mainframe teams to understand interdependencies and troubleshoot integration points where necessary. - Monitor AWS cloud resources including CloudWatch for logging and alerting, DynamoDB for database management, and AWS Lambda for serverless compute tasks related to project workflows. - Implement best practices for environment stability, performance tuning, and security … Qualifications: - Proven experience in IBM DataPower development, configuration, and troubleshooting within enterprise environments. - Familiarity with mainframe systems, integration with DataPower where applicable. - Good working knowledge of AWS services, particularly CloudWatch, DynamoDB, and Lambda, including monitoring, troubleshooting, and optimisation. - Excellent verbal and written communication skills to effectively articulate technical issues and solutions. - Ability to work under pressure and manage multiple More ❯