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AWS DevOps Engineer: Kubernetes & Terraform Specialist

Job in Renton, King County, Washington, 98056, USA
Listing for: US staffing Inc
Full Time position
Listed on 2026-05-28
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, SRE/Site Reliability, AWS
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Title-AWS Dev Ops Engineer

Location:

Onsite to Renton, WA 98056

Long Term Contract

Mandatory Skills
  • AWS
  • Dev Ops (Kubernetes, Grafana, Datadog, Terraform, Git Lab & Others)
  • Windows/Linux
Job Qualifications
  • At least 5 to 7 years’ experience working with cloud services like AWS & Azure.
  • Solid experience in designing and implementing complex Dev Ops solutions.
  • Experience with CI/CD pipelines.
  • Experience with administering Linux and application support.
  • Experience with in cloud hosted environments such as Amazon AWS cloud, Azure.
  • Experience with Grafana, Cloudwatch, Datadog, Dynatrace, Nagios, VMWare, CDN.
  • A good AWS Dev Ops development background.
Job Responsibilities
  • Implement scalable, resilient, and secure solutions in the public cloud, especially in AWS.
  • Implement and support Linux and on-prem server environment.
  • Maintain and support Kubernetes environment on AWS.
  • Participate in automation initiatives to streamline processes, improve efficiencies and reduce hosting cost.
  • Work closely with Engineering and development teams for continuous improvement.
  • Enhance and drive automation and 'Infrastructure as Code' delivery using Terraform, Git.
  • Participate in technical discussion with existing & potential clients and internal teams.
  • Participate in research and development to deliver complex cloud-native solutions or on-premises.
  • Ability to analyse and troubleshoot complex software and infrastructure issues, and develop tools/systems for task automation.
  • BAU Support as needed for critical and escalated issues.
  • Responsible for managing and upgrading Dev Ops toolsets.
  • Maintaining 100% automation coverage of core Insight build and deploy using cloud-native services and containers.
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