Drimva

National Life

Sr Cloud Platform & Site Reliability Engineering Lead

$137K–$201K

Addison, TX +3 · Senior · Full-time · Posted Sep 30, 2026

Location
Addison, TX
Montpelier, VT
Addison, TX
Montpelier, VT
Experience
8+ years in relevant hands-on areas, including at least 4 years in a technical leadership role.
Education
Bachelor’s degree, preferred in Computer Science; or relevant work experience.
Visa sponsorship
The company does not offer visa sponsorship for this position.

About the job

Leads cloud platform design, delivery, and reliability engineering, improving infrastructure, CI/CD, observability, and operational practices across the organization.

What you'll do

  • Lead cloud-native solution design and delivery, infrastructure automation, and CI/CD and observability capabilities.
  • Drive SRE adoption and improvements to system reliability, scalability, and performance; support incident resolution and risk management.
  • Define Azure architecture standards and collaborate across teams on platform engineering, operational excellence, and technical leadership.

What they ask for

  • Bachelor’s degree, preferred in Computer Science; or relevant work experience.
  • 8+ years of hands-on experience across CI/CD pipelines, APM tools, source code management, infrastructure, cloud, or platform engineering, including at least 4 years in a technical leadership role.
  • Broad engineering awareness and strong expertise in multiple listed areas, including Azure, infrastructure as code, pipelines, monitoring, containers, scripting, or DevSecOps.
  • Ability to lead collaboratively through influence, mentor technical staff, and operate effectively in complex environments.

Nice to have

  • Experience with AWS or other cloud platforms.
  • Exposure to AI technologies in development and application performance (AIOps).

Pay

$136,875 — $200,750 USD base salary

Tools

Microsoft Azure, Bicep, ARM, Azure DevOps, GitHub Actions, GIT, Azure Monitor, Application Insights

AI focus

Promote automation and AI-assisted operations; exposure to AIOps and responsible use of approved AI tools are noted.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)