1 to 25 of 118 Amazon CloudWatch Jobs in the UK

Docker, Kubernetes). Excellent troubleshooting skills and proactive approach to problem resolution. Strong scripting skills (Python, Bash, or similar languages). Knowledge of monitoring tools and log management solutions (CloudWatch, ELK Stack, etc.). Familiarity with networking and security practices in cloud environments. Technical Capabilities: Experience with version control systems (GIT). Knowledge of configuration management tools (Ansible, Chef More ❯

/CD pipelines, and Docker. Scripting and automation experience (bash, PowerShell, Python) and configuration management tools (Ansible, Puppet, or Chef). Familiarity with monitoring and logging tools such as CloudWatch, Prometheus, and Grafana. Certified AWS Solutions Architect Associate (or equivalent experience). Strong knowledge of Linux and Windows security features and network engineering in cloud environments. Flexibility to travel More ❯

/CD pipelines, and Docker. Scripting and automation experience (bash, PowerShell, Python) and configuration management tools (Ansible, Puppet, or Chef). Familiarity with monitoring and logging tools such as CloudWatch, Prometheus, and Grafana. Certified AWS Solutions Architect Associate (or equivalent experience). Strong knowledge of Linux and Windows security features and network engineering in cloud environments. Flexibility to travel More ❯

Code mastery (Terraform, CloudFormation) Scripting expertise (Python, Bash, PowerShell) Highly Valued: Experience in regulated industries (healthcare, financial services, life sciences) AWS cost management and FinOps experience Monitoring tools expertise (CloudWatch, Datadog, New Relic, Prometheus) Security and compliance framework knowledge Experience with observability and APM solutions Why This Opportunity Stands Out: Real Impact - Your work directly improves healthcare outcomes Growth More ❯

Associate . Preferred Qualifications Experience in hybrid cloud environments and integration with on-premise systems. Background in DevOps, SRE, or Infrastructure Engineering. Knowledge of monitoring/logging tools (e.g., CloudWatch, Datadog, Prometheus, ELK). Experience with enterprise security and compliance frameworks (e.g., ISO 27001, SOC 2, GDPR). Familiarity with cost modeling and optimization strategies in AWS. More ❯

Solid knowledge of CI/CD processes and tools Good understanding of Linux systems (iptables, routing tables) and network configurations (VPCs, SGs) Exposure to monitoring and observability tools (e.g. CloudWatch, Grafana, Prometheus) An AWS certification (Architect Associate or similar) is expected 🧩 Nice to have, but not essential: AWS Architect Professional or additional AWS specialisations Related Microsoft, Linux, or Networking More ❯

mentor and collaborate with other engineers. Technical Skills: Cloud: AWS (EKS, RDS, Lambda, etc.) IaC: Terraform (Expert) Containerisation: Kubernetes, Docker CI/CD: GitHub Actions Observability: Grafana, Prometheus, AWS CloudWatch, OpenTelemetry/distributed tracing. Scripting: Strong proficiency in at least one scripting language (e.g., Python, Go, Bash). Familiarity with JavaScript/TypeScript is a plus, as it's More ❯

AWS Networking, VPC, DynamoDB Databases: DB2, PostgreSQL, MariaDB, Oracle, Operating Systems/Platforms: Linux, Mainframe (legacy computing platform), Containerization/Orchestration: Containers (Kubernetes) Monitoring/Alerting: Alerting and Monitoring (CloudWatch, Prometheus, etc.) Qualifications You'll need to have obtained a degree in Computer Science, Engineering, Mathematics, or a related STEM discipline or demonstrate equivalent technical experience or interest. Benefits More ❯

Define and enforce platform standards across environments (dev, staging, prod) Collaborate with developers and DevOps on deployment tooling and security Enable platform observability using tools like Datadog, Prometheus, and CloudWatch Maintain Helm charts and Terraform modules for shared infrastructure Contribute to onboarding documentation and platform adoption practices Participate in incident response and postmortem analysis, where applicable Essential Skills Strong More ❯

working with repos, build automation tools, build orchestration and environment automation. e.g. Jenkins, GitHub, GitLab, CloudFormation, Others Experience in implementing tools for logging, monitoring and alerting. e.g. Prometheus, Splunk, CloudWatch, Nagios Experience in creating and automating virtual machines in public and private clouds An understanding or experience of high availability, business continuity and disaster recovery solutions in the cloud More ❯

CD pipelines and automation tooling (Gitlab experience preferable). Experience with "infrastructure as code" (Terraform, CloudFormation), containerisation (Docker), and orchestration (Kubernetes). Proficiency with observability and monitoring solutions (e.g., CloudWatch, Prometheus, Grafana, Splunk). Strong understanding of cloud-native development practices and agile ways of working. Confident conducting peer code reviews and providing constructive technical feedback. Desirables: Experience designing More ❯

CD pipelines and automation tooling (Gitlab experience preferable). Experience with 'infrastructure as code' (Terraform, CloudFormation), containerisation (Docker), and orchestration (Kubernetes). Proficiency with observability and monitoring solutions (e.g., CloudWatch, Prometheus, Grafana, Splunk). Strong understanding of cloud-native development practices and agile ways of working. Confident conducting peer code reviews and providing constructive technical feedback. Desirables: Experience designing More ❯

automation, diagnostics, and operational efficiency. Requirements 5+ years of DevOps or SRE experience in high-availability, real-time systems. Strong hands-on experience with AWS services (EC2, VPC, IAM, CloudWatch, RDS) and cost monitoring tools (e.g., AWS Budgets, Cost Explorer). Skilled in provisioning and config management using Ansible; Terraform experience is a plus. Proficient in ClickHouse and PostgreSQL More ❯

involved in Continuous integration, automation, scripting, Infrastructure as Code, and Containerisation. Skills: Strong skills in Kubernetes. Strong exposure to AWS services such as EC2, VPC, Route53, Auto scaling groups, CloudWatch, IAM (2-3 years). Experience with configuration management tools such as ansible. Strong skills in building infrastructure using either Terraform or CloudFormation Strong Linux skills (Ubuntu, Debian etc. More ❯

working with Git reversion control Pipeline configuration and deployment, Ansible Automation Platform/Git runners etc Experience with Monitoring and observability Deployment and configuration of Prometheus/Grafana/Cloudwatch Time series Database experience with Influx Full stack administration - TICK/elastic search/open search/Fluentd Experience of AWS Cloud based services Configuration and deployment of common More ❯

engineering support Essential Skills & Experience: CI/CD Terraform Kafka Kubernetes (plus experience migrating away from Kubernetes to serverless) GitLab GitHub Actions (and ideally GitHub Enterprise) AWS services: Lambda, CloudWatch, S3, IAM, Athena, RDS Strong stakeholder management and communication skills Desirable Skills: FinOps Testing Cybersecurity Experience working as the sole DevOps Engineer on a project Reasonable Adjustments: Respect and More ❯

into infrastructure delivery with CI/CD pipelines. Applying cloud security best practices including encryption, RBAC, and compliance controls. Monitoring and optimising cloud environments using tools like Azure Monitor, CloudWatch and Grafana. Supporting incident response and driving continuous improvement initiatives. Senior Cloud Engineer Skills Required: Proven hands-on experience with both AWS and Azure cloud services. Proficiency in Infrastructure More ❯

CloudFormation, ARM templates) Proficiency with container technologies like Docker and orchestration (Kubernetes, ECS, AKS, etc.) Strong scripting skills in Python, Bash, or PowerShell Experience with monitoring and logging tools (CloudWatch, Datadog, Prometheus, ELK stack, etc.) Familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.) The successful candidate must hold and maintain a high level of Security More ❯

CloudFormation, ARM templates) Proficiency with container technologies like Docker and orchestration (Kubernetes, ECS, AKS, etc.) Strong scripting skills in Python, Bash, or PowerShell Experience with monitoring and logging tools (CloudWatch, Datadog, Prometheus, ELK stack, etc.) Familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.) The successful candidate must hold and maintain a high level of Security More ❯

services such as Lambda, API Gateway, DynamoDB, S3, and CloudFormation. Solid understanding of TypeScript, Node.js, and RESTful API design. Familiarity with DevOps practises and tools (e.g., GitHub Actions, Terraform, CloudWatch). Experience working in Agile environments and contributing to sprint ceremonies. Ability to challenge existing approaches and drive innovation within the team. Desirable: Exposure to AWS AI services (e.g. More ❯

years of professional software engineering experience Strong proficiency with Node.js and JavaScript/TypeScript Solid experience building frontend applications with React.js Experience with AWS (at least EC2, Lambda, DynamoDB, CloudWatch) Familiarity with containerization (Docker) and infrastructure-as-code (e.g., Terraform or AWS CDK) Understanding of Agile methodologies and Git-based workflows Bachelors/Computer Science degree or equivalent Nice More ❯

and container orchestration (ECS, EKS, or Kubernetes) Experience setting up CI/CD pipelines using GitHub Actions or similar tools Familiarity with monitoring and alerting tools (e.g. Prometheus, Grafana, CloudWatch, Sentry, DataDog) A security-first mindset when designing and managing infrastructure Nice to Haves Experience working in regulated or high-trust environments Knowledge of zero-downtime deployment patterns and More ❯

in production. Good to Have: Experience with Scala for data applications. Familiarity with serverless/event-driven architectures. Experience designing scalable, low-latency data services. Exposure to Datadog or CloudWatch monitoring tools. Nice to Have: Experience with LLM-powered applications or OpenAI APIs . Professional experience in a similar environment or high-scale system. Key Roles and Responsibilities: Own More ❯

Flyway, Liquibase) and Git for version control. Scripting & Troubleshooting: Strong scripting skills (Python/Bash) for automation and ability to analyze logs and monitor performance using tools like AWS Cloudwatch, Datadog, Prometheus, Grafana, or pgBadger. Solid understanding of DevOps practices, including CI/CD pipelines (e.g., GitLab CI, Cloudbees, Jenkins, GitHub Actions), containerization with Docker, and monitoring/logging More ❯

Flyway, Liquibase) and Git for version control. Scripting & Troubleshooting: Strong scripting skills (Python/Bash) for automation and ability to analyze logs and monitor performance using tools like AWS Cloudwatch, Datadog, Prometheus, Grafana, or pgBadger. Solid understanding of DevOps practices, including CI/CD pipelines (e.g., GitLab CI, Cloudbees, Jenkins, GitHub Actions), containerization with Docker, and monitoring/logging More ❯