1 to 25 of 43 Amazon CloudWatch Jobs in Manchester

mastery, leadership potential, and a proactive mindset: Cloud & Production Expertise: Extensive experience with production-grade infrastructure, particularly AWS (EC2, S3, RDS, Lambda, API Gateway, CloudWatch, IAM). Infrastructure as Code: Deep expertise with Terraform. CI/CD Migration Experience: Hands-on experience with CI/CD platforms (GitHub Actions More ❯

mastery, leadership potential, and a proactive mindset: Cloud & Production Expertise: Extensive experience with production-grade infrastructure, particularly AWS (EC2, S3, RDS, Lambda, API Gateway, CloudWatch, IAM). Infrastructure as Code: Deep expertise with Terraform. CI/CD Migration Experience: Hands-on experience with CI/CD platforms (GitHub Actions More ❯

to collaborate across technical and non-technical teams. Previous mentoring or leadership experience is highly desirable. Knowledge of monitoring, logging, and alerting tools like CloudWatch, New Relic, Grafana, and Datadog. Experience working in high-availability, cost-conscious environments. Familiarity with static code analysis and quality gates (e.g. SonarQube). More ❯

Seminars or Conferences) About The Candidate Expertise in Python Engineering Expertise in AWS Serverless including tools & technologies such as Lambda, DynamoDB, SQS, SNS, Eventbridge, Cloudwatch and CloudFormation Leading a delivery team to deliver high quality, robust solutions Coaching and guiding others on the best way to achieve an optimal More ❯

in Continuous integration, automation, scripting, Infrastructure as Code, and Containerisation. Skills: 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 More ❯

in Continuous integration, automation, scripting, Infrastructure as Code, and Containerisation. Skills: 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 Experience More ❯

Infrastructure as Code for configuration management and code implementation - Terraform etc. Experience setting up and using monitoring and alerting tools such as Dynatrace, Grafana, Cloudwatch etc. Experience using Configuration management tools like Puppet, Ansible, Packer, Chef. Experience with various testing tooling - Selenium, Cucumber etc Experience in scripting - bash/ More ❯

This should include Networking components such as VPCs, NACLs, SecurityGroups, DX, VPN, TransitGateway, NetworkFirewall, NLB/ALB, and WAF. Logging and alerting components including CloudWatch LogStreams and Alarms, CloudTrail, S3, SNS and EventBridge. Compute and Storage including EC2, ECS, EKS, EBS, EFS, S3 and AWS Backup. Organisational and account More ❯

A minimum of 2x associate AWS certifications Two or more years’ experience with core AWS Services including Load Balancing, EC2, RDS, CloudFront, S3 and CloudWatch Experience with modernisation legacy architectures such as containerisation or microservices Experience in building and supporting AWS serverless solutions such as API Gateway, Lambda, SQS More ❯

A minimum of 2x associate AWS certifications Two or more years’ experience with core AWS Services including Load Balancing, EC2, RDS, CloudFront, S3 and CloudWatch Experience with modernisation legacy architectures such as containerisation or microservices Experience in building and supporting AWS serverless solutions such as API Gateway, Lambda, SQS More ❯

A minimum of 2x associate AWS certifications Two or more years’ experience with core AWS Services including Load Balancing, EC2, RDS, CloudFront, S3 and CloudWatch Experience with modernisation legacy architectures such as containerisation or microservices Experience in building and supporting AWS serverless solutions such as API Gateway, Lambda, SQS More ❯

for Proven experience leading data engineering teams and delivering technical solutions Strong background in cloud data platforms, especially AWS (Redshift, Athena, EC2, IAM, Lambda, CloudWatch) Proficiency in automation tools and languages (e.g., GitHub/GitLab, Python, Java). Skilled in stakeholder engagement and translating requirements into actionable insights. Ability More ❯

best practices in cloud environments. Scripting or automation experience (PowerShell, Bash, or Python). Familiarity with monitoring and logging tools such as Azure Monitor, CloudWatch, or Datadog. Understanding of IT governance, compliance, and risk management within financial services. Desirable Qualifications: Relevant cloud certifications (e.g., Microsoft Certified: Azure Solutions Architect More ❯

skills with AWS Lambda , DynamoDB , Step Functions Experience with SQS, SNS, S3, EventBridge, API Gateway , and related services Confident with RDBMS (PostgreSQL preferred), IAM , CloudWatch , and Git-based workflows Familiarity with CI/CD pipelines and DevOps best practices. If you're driven by the challenge of architecting robust More ❯

software engineering mindset. Excellent experience with Containers. Strong knowledge of Python, Airflow, SQL, and Linux. Proficient in AWS Lambda, ECS, Athena, S3, Kinesis, Glue, CloudWatch/Terraform/CDK, Tableau Online. They are particularly keen on Senior Data Engineers who utilize good AI-based tooling for productivity, such as More ❯

and transforming data for CRM delivery. Migrating R-based data streams into modern Airflow-managed Python/DBT pipelines. Ensuring observability and reliability using CloudWatch and automated monitoring. Supporting both BAU and new feature development within the data engineering function. KEY SKILLS AND REQUIREMENTS Proven experience with AWS services More ❯

and transforming data for CRM delivery. Migrating R-based data streams into modern Airflow-managed Python/DBT pipelines. Ensuring observability and reliability using CloudWatch and automated monitoring. Supporting both BAU and new feature development within the data engineering function. KEY SKILLS AND REQUIREMENTS Proven experience with AWS services More ❯

Infrastructure as Code (IaC) tools like HashiCorp Terraform and strong scripting skills (e.g., Python). Experience with monitoring tools like AWS Performance Insights, AWS CloudWatch, or DataDog. #J-18808-Ljbffr More ❯

Scripting: Python or other scripting language skills. Infrastructure as Code: Experience with tools like Puppet and Terraform. Cloud and Monitoring Tools: Familiarity with AWS Cloudwatch, PagerDuty, etc. Windows Management: Knowledge of tools like InTune MDM. Benefits And Work Environment Flexibility: Hybrid working model (home and office), with home office More ❯

Technologies and Tools: Databases: PostgreSQL, Oracle, MySQL AWS: RDS, Aurora, EC2, S3, ECS, KMS, VPC, Security Groups, Subnet Groups, Route 53, IAM, Lambda, Quicksight, Amazon Q, and more Infrastructure: GitLab CI/CD, Terraform, Docker Monitoring: Dynatrace, Amazon RDS Performance Insights, AWS CloudWatch Languages: Bash, Python, SQL More ❯

Your responsibilities will include developing and maintaining scalable platforms using Python, TypeScript, and AWS, and collaborating with DevOps teams utilizing tools like Docker, Kubernetes, CloudWatch, and New Relic. This is a primarily remote position with occasional trips to the office. We value flexibility and empower our team to work More ❯

familiarity with tools like CircleCI and GitHub Actions. While not a DevOps role, knowledge of working alongside DevOps engineers using tools like New Relic, CloudWatch, Docker, and Kubernetes is necessary. This position offers flexibility with remote work and occasional trips to the office. We value empowering our employees to More ❯

with some IBM services, but AWS is our future focus. While not a DevOps role, familiarity with tools like Docker, Kubernetes, New Relic, or CloudWatch is important, as you'll collaborate with DevOps teams. This is a primarily remote role with occasional office visits. We value flexibility and productivity More ❯

although we are moving away from IBM. While not a DevOps engineer, you should collaborate with DevOps teams working with tools like New Relic, Cloudwatch, Docker, and Kubernetes to maintain performance and infrastructure. This is mainly a remote position with occasional trips to the office for team connect. We More ❯

engineer, we do need you to know how to work alongside an incredible folks who are, theyll be leveraging tools like New Relic or Cloudwatch to keep performance on point, and work with Docker and Kubernetes This is a primarily Remote role with occasional trips to the office to More ❯