1 to 25 of 211 Auto-Scaling Jobs in the UK

Linux Operating System, standard network protocols and security hardening. Proven experience using AWS Cloud Solutions and services such as EC2, S3, Lambda, EKS, API Gateway, ALB, API Gateway, Auto scaling, etc. In-depth knowledge in Infrastructure-as-code tools (such as Ansible, Terraform, etc.) is mandatory. Experience in creating automation frameworks using Ansible. Strong in one or two More ❯

support escalation. You are a good fit if: You have previously worked with Amazon AWS cloud administration, including services such as: EC2, S3, ELB, RDS, IAM, Route 53, Auto Scaling Groups, Lambda, Cloud Watch, Cloud Formation and Security Groups. You possess expertise in containerisation within Kubernetes and Docker and are familiar with the pattern of Microservice Architecture. You More ❯

CI/CD tools (such as Jenkins or GitHub actions) Good understanding of relational databases and SQL Linux command line, administration and shell scripting Solid understanding of monitoring, auto-scaling, performance tuning, troubleshooting and disaster recovery best practices Working knowledge of network security protocols Working knowledge of AWS Experience with monitoring tools such as InfluxDB, Prometheus or Grafana More ❯

or CloudFormation. • Proficiency in scripting languages such as Python, Bash, or PowerShell. • Excellent problem-solving and analytical skills. • Strong communication and collaboration skills. Core Skill • Compute: EC2, Lambda, Auto Scaling, Load Balancing • Storage: S3, EBS, EFS • Networking: VPC, Route 53, CloudFront, API Gateway • Databases: RDS, DynamoDB, Aurora • Security & Monitoring: IAM, CloudWatch, CloudTrail, KMS • DevOps & Automation: CloudFormation, Code Pipeline More ❯

best practices for data replication and fault tolerance in MSK environments Troubleshoot deployment issues Deploy, monitor, and scale Kubernetes-based applications across AWS. Ensure service discovery, load balancing, auto-scaling, and failover for applications running in Kubernetes Manage Kubernetes networking, including VPC integration and ingress configurations. Automate the deployment of containerized Kafka clients, stream processing applications, and monitoring More ❯

teams. Heavily 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 More ❯

software development and product teams. Heavily involved 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 Linux skills More ❯

teams. Heavily 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 More ❯

software engineering experience (any language) and willingness to learn C#, TypeScript, Python Proven full-stack engineering experience (front end, backend, APIs, databases) Proficient in Kubernetes (EKS preferred), including RBAC, autoscaling, and Helm-based deployment Solid experience designing and maintaining CI/CD pipelines (Jenkins, Azure DevOps Pipelines, etc.) Familiarity with containerisation using Docker and secure image management Scripting or programming More ❯

software engineering experience (any language) and willingness to learn C#, TypeScript, Python Proven full-stack engineering experience (front end, backend, APIs, databases) Proficient in Kubernetes (EKS preferred), including RBAC, autoscaling, and Helm-based deployment Solid experience designing and maintaining CI/CD pipelines (Jenkins, Azure DevOps Pipelines, etc.) Familiarity with containerisation using Docker and secure image management Scripting or programming More ❯

encryption (KMS), automated backups, fine-grained access controls, and data integrity monitoring Cost Optimization & FinOps: Drive cloud cost optimization strategies using AWS Cost Explorer, Compute Savings Plans, Reserved Instances, AutoScaling efficiencies, and rightsizing workloads to maximize cost savings Problem-solving & Leadership: Strong ability to troubleshoot security vulnerabilities, enforce DevSecOps methodologies, and lead teams to adopt best practices in AWS cloud More ❯

Location – Swindon or London Salary – £65,000 to £75,000 + Bonus This is an exciting time to join as we continue to develop and grow our Cloud Platforms team across both the UK and Europe. This role will be More ❯

using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity by auto-scaling resources based on business requirements. Ensure Disaster Recovery (DR) and manual redundancy failover capabilities. Provide regular service management reports to keep clients informed. Follow ITIL processes and Integrated More ❯

using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity by auto-scaling resources based on business requirements. Ensure Disaster Recovery (DR) and manual redundancy failover capabilities. Provide regular service management reports to keep clients informed. Follow ITIL processes and Integrated More ❯

using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity by auto-scaling resources based on business requirements. Ensure Disaster Recovery (DR) and manual redundancy failover capabilities. Provide regular service management reports to keep clients informed. Follow ITIL processes and Integrated More ❯

using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity by auto-scaling resources based on business requirements. Ensure Disaster Recovery (DR) and manual redundancy failover capabilities. Provide regular service management reports to keep clients informed. Follow ITIL processes and Integrated More ❯

using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity by auto-scaling resources based on business requirements. Ensure Disaster Recovery (DR) and manual redundancy failover capabilities. Provide regular service management reports to keep clients informed. Follow ITIL processes and Integrated More ❯

using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity by auto-scaling resources based on business requirements. Ensure Disaster Recovery (DR) and manual redundancy failover capabilities. Provide regular service management reports to keep clients informed. Follow ITIL processes and Integrated More ❯

using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity by auto-scaling resources based on business requirements. Ensure Disaster Recovery (DR) and manual redundancy failover capabilities. Provide regular service management reports to keep clients informed. Follow ITIL processes and Integrated More ❯

using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity by auto-scaling resources based on business requirements. Ensure Disaster Recovery (DR) and manual redundancy failover capabilities. Provide regular service management reports to keep clients informed. Follow ITIL processes and Integrated More ❯

using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity by auto-scaling resources based on business requirements. Ensure Disaster Recovery (DR) and manual redundancy failover capabilities. Provide regular service management reports to keep clients informed. Follow ITIL processes and Integrated More ❯

using Logstash, ElasticSearch, and Kibana. Perform initial analysis on incidents and escalate issues to the appropriate support level when necessary. Manage Application ID and provide cloud elasticity by auto-scaling resources based on business requirements. Ensure Disaster Recovery (DR) and manual redundancy failover capabilities. Provide regular service management reports to keep clients informed. Follow ITIL processes and Integrated More ❯

ECS, and Nomad. Implement infrastructure as code (IaC) using Terraform for provisioning and managing cloud infrastructure. Define and enforce best practices for container security, networking, and observability. Implement auto-scaling solutions using Karpenter, Cluster Autoscaler, or custom scaling policies. Troubleshoot and resolve complex issues related to container orchestration and workload performance. Collaborate with developers, DevOps, and SRE More ❯

tools that support them. Strong communication skills and a collaborative spirit. Ability to work independently as a self-starter to identify and solve problems. Solid understanding of monitoring, auto-scaling, performance tuning, troubleshooting, and disaster recovery best practices. Experience building and maintaining robust CI/CD pipelines. Proven experience deploying full-stack solutions to cloud infrastructure. Comprehensive experience More ❯

DevOps roles. Proven expertise in Google Cloud infrastructure, GKE, and HPC architecture. Strong background in batch scheduling, job queuing (Slurm), and distributed storage systems. Proficient in Kubernetes internals, pod autoscaling, node management. Skilled in Infrastructure as Code (Terraform, Deployment Manager). Hands-on experience with Docker, Helm, Istio, and container security tools like Trivy or Aqua. Fluent in English, with More ❯