Crewe, Cheshire, United Kingdom Hybrid / WFH Options
OCC Computer Personnel
well-established professional and talented Infrastructure team. Working extensively with cloud AWS servers experience including EC2, ECS, EKS, Lambda, VPC, Route53, S3, RDS and CloudWatch would be ideal. You will be responsible for the deployment, maintenance and management of the IT Infrastructure that supports applications, services, and end users more »
Pipeline, Azure Stack * Implementing microservices and containers E.g. Kubernetes, Docker, OpenShift * Implementing tools for logging, monitoring and alerting. E.g. TICK Stack, ELK Stack, Splunk, CloudWatch * Creating and automating virtual machines in the cloud deployed on compute instances. * Implementing other cloud infrastructure and networking required to host a digital service more »
have experience with a wide range of tools and technologies including Terraform, Ansible, CloudFormation, CI/CD tools such as Jenkins and Octopus, ELK, CloudWatch, Prometheus and Grafana You're a collaborative communicator What's in it for you: As a Senior DevOps Engineer you will earn a competitive more »
automation, monitoring and deployment processes Requirements: Experience with AWS services such as ECS, S3, RDS, Lambda, CloudFront, etc. Experience with monitoring tools like DataDog, CloudWatch, and Grafana Experience with Docker, ECS, Kubernetes or similar containerisation technologies Knowledge of languages such as Bash, Python, NodeJS Experience with IaC tools such more »
environments using Terraform. Extensive production experience using AWS and/or Azure technology stack, including Web. apps, traffic manager, serverless functions, CDN, application insights, CloudWatch, pipelines, storage and security. Continuous integration and delivery tooling such as Github, ArgoCD, Docker, Kubernetes and Terraform. more »
based technologies. At least 3 years experience as a senior engineer. Excellent Java skills, including Spring. Experience with AWS technologies like EC2, Cognito, Lambdas, CloudWatch etc. A DevOps focus, with experience building and deploying to cloud infrastructure using tools like Jenkins, GitHub Actions, Vagrant & Terraform. Experience working with older more »
Manchester, North West, United Kingdom Hybrid / WFH Options
Intrum
services that have potential to impact our customers. What were looking for: Proficient in AWS services, especially API Gateways, AWS Lambdas, DynamoDB, S3, EventBridge, CloudWatch, SNS, SQS, Cognito, AWS Amplify. Skilled in Python programming language in serverless environments like AWS Lambda. Good experience with AWS IaC (CloudFormation) and CI more »
skilled AWS DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining scalable infrastructure solutions on Amazon Web Services (AWS). This role demands expertise in cloud architecture, automation, CI/CD pipelines, and a solid understanding of best practices for … to EC2, S3, IAM, VPC, Route 53, Lambda, and RDS. Experience with containerisation technologies such as Docker and container orchestration platforms like Kubernetes or Amazon ECS. Proficiency in scripting languages such as Python, Bash, or Golang for automation tasks. Hands-on experience with configuration management tools such as Ansible … Chef, or Puppet. Familiarity with monitoring and logging tools such as CloudWatch, ELK Stack, Prometheus, or Grafana. Experience with version control systems, particularly Git. Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues. Excellent communication and collaboration skills, with the ability to work effectively in more »
experience as a DevSecOps Engineer or Security Engineer with AWS In depth knowledge of AWS security tools inc. SecurityHub, Inspector, Detective, CloudTrail, GuardDuty and CloudWatch Proficiency in AWS services and features, including IAM, VPC, EC2, S3, RDS, Lambda, and CloudFormation Strong understanding of security best practices, principles, and frameworks more »
experience as a DevSecOps Engineer or Security Engineer with AWS In depth knowledge of AWS security tools inc. SecurityHub, Inspector, Detective, CloudTrail, GuardDuty and CloudWatch Proficiency in AWS services and features, including IAM, VPC, EC2, S3, RDS, Lambda, and CloudFormation Strong understanding of security best practices, principles, and frameworks more »
experience as a DevSecOps Engineer or Security Engineer with AWS In depth knowledge of AWS security tools inc. SecurityHub, Inspector, Detective, CloudTrail, GuardDuty and CloudWatch Proficiency in AWS services and features, including IAM, VPC, EC2, S3, RDS, Lambda, and CloudFormation Strong understanding of security best practices, principles, and frameworks more »
experience as a DevSecOps Engineer or Security Engineer with AWS In depth knowledge of AWS security tools inc. SecurityHub, Inspector, Detective, CloudTrail, GuardDuty and CloudWatch Proficiency in AWS services and features, including IAM, VPC, EC2, S3, RDS, Lambda, and CloudFormation Strong understanding of security best practices, principles, and frameworks more »
Birmingham, West Midlands (County), United Kingdom
Smart Sourcer Ltd
experience as a DevSecOps Engineer or Security Engineer with AWS In depth knowledge of AWS security tools inc. SecurityHub, Inspector, Detective, CloudTrail, GuardDuty and CloudWatch Proficiency in AWS services and features, including IAM, VPC, EC2, S3, RDS, Lambda, and CloudFormation Strong understanding of security best practices, principles, and frameworks more »
experience; Understanding of Infrastructure as Code frameworks e.g. Terraform; Working experience of designing and implementing logging and monitoring stacks to aid observability e.g. Grafana, Cloudwatch, PagerDuty, ELK stack Good scripting skills in one of PowerShell, Bash/Shell and Python or another appropriate language; Experience of moving in a more »
Python ecosystem. Have strong experience in DevOps combined with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI. Support and more »
