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AWS -Site Reliability Engineer

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Cognizant
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, IT Support, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Excellent opportunity for AWS Site Reliability Engineers to be part of our Cloud Infrastructure & Security services practice. Cognizant Infrastructure Services – Provides IT infrastructure & Cloud services for clients across industry verticals, including both Consulting/Professional and Managed Services, across Enterprise Computing, Cloud services, Security Services, Dev Ops, Data Centres, End User Computing, Service Desk, Network Services and Environment Management Services.

Key Responsibilities
  • Design, code, test, and deliver software to automate manual operational work
  • Troubleshoot priority incidents, facilitate blameless post-mortems and ensure permanent closure of incidents
  • Collaborate with development team throughout the life cycle to help develop software for reliability and scale, ensuring minimal refactoring or changes
  • Identify application patterns and analytics in support of better service level objectives
  • Design self-healing and resiliency patterns
  • Design automated software and product upgrades, change management, and release management solutions
  • Collaborate with senior technical leads and mentor junior engineers.
  • Design, deploy and manage AWS environments with a focus on automation, scalability and security.
  • Build and maintain Infrastructure as Code(IaC) using tools such as Terraform.
  • Monitor and optimize system performance, availability, and security, applying observability best practices.
Key Skills and Experience
  • Must have Strong Hands-on exposure in AWS, Terraform, Python/Bash, CI/CD
  • Experience with Infrastructure as code(IaC) and CI/CD(Bitbucket, Jenkins,spinnaker).
  • Strong knowledge of containerization and orchestration, including Docker and Kubernetes.
  • Strong scripting skills in Python or Bash for automation.
  • Proven experience deploying and managing and deep understanding of AWS cloud infrastructure in secure environments.
  • Working knowledge of infrastructure components (e.g. routers, load balancers, cloud products, container systems, compute, storage, and networks, VPC, subnets and security groups.)
  • Excellent troubleshooting, problem solving and debugging skills.
  • Bachelor’s degree or equivalent experience in software engineering discipline
  • Nice to have skills - Basic knowledge of AI technologies and prompt engineering to leverage generative AI for enhancing productivity and automating tasks
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