Los Alamos National Laboratory · Los Alamos, NM · Just now · 0 applicants
NewHybridFull-timeSenior
Pay
$97k–$158kListed
Workplace
Hybrid
Job type
Full-time
Level
Senior
Team: Cybersecurity · Source: jobright · Posted by joined-scrapper
About the role
Los Alamos National Laboratory seeks a Cloud Platform Developer to design, deploy, and maintain secure, scalable cloud-native applications and multi-cloud infrastructure across Azure, AWS, and GCP using infrastructure as code and CI/CD. This mid-to-senior Technical Staff role also supports live systems, evaluates new cloud technologies, and provides technical leadership at the Technical Staff 3 level.
What you’ll do
Design, develop, deploy, and maintain secure, scalable cloud-native applications and multi-cloud infrastructure
Develop and maintain infrastructure as code solutions using Terraform/Terragrunt
Manage and monitor live service systems, ensuring scalability and zero downtime
Collaborate with software engineers, solution architects, and product teams on infrastructure solutions
Evaluate new cloud technologies and propose innovative solutions
Provide technical leadership, mentorship, and innovation in cloud infrastructure at the Technical Staff 3 level
What you’ll need
Bachelor's degree and 5-8 years related experience, or equivalent combination of education and experience
Advanced knowledge of cloud computing platforms such as AWS, GCP, and Azure
Experience with infrastructure automation, custom cloud integrations, and monitoring/alerting tools
Experience building out landing zones and knowledge of cloud networking principles
Proficiency in programming and scripting languages such as Python and PowerShell
Must be able to obtain a Q clearance; US citizenship required except in rare circumstances
Original job description
Los Alamos National Laboratory is a multidisciplinary research institution supporting national security through strategic science. The Cloud Platform Developer will design, develop, deploy, and maintain secure, scalable cloud-native applications and multi-cloud infrastructure across Azure, AWS, and GCP, using infrastructure as code, automation, CI/CD, and…