Senior DevOps Engineer

New
MexicoFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page

Job Details

Experience
5+ years
Required Skills
KubernetesMicrosoft AzureDevOpsTerraformAzure DevOpsDatadogHelm

Requirements

  • 5+ years of experience in DevOps, Platform Engineering, or SRE roles.
  • Strong hands-on experience with Microsoft Azure as a primary cloud platform, including multi-subscription environments.
  • Proven production experience with Kubernetes, ideally in multi-environment, SLA-driven systems.
  • At least 2+ years of experience building and maintaining Terraform-based infrastructure using modular and scalable architectures.
  • Strong expertise in Azure DevOps pipelines with YAML-first and reusable template approaches.
  • Solid experience with Helm, GitOps workflows, and infrastructure-as-code practices.
  • Experience in mentoring engineers, conducting code reviews, and sharing technical knowledge within teams.
  • Proven experience in production on-call rotations and incident response management.
  • Ability to thrive in low-process environments and establish structure and best practices from the ground up.
  • Strong ownership mindset, proactive attitude, and high level of engineering maturity.

Responsibilities

  • Design, develop, and scale Infrastructure as Code using Terraform with a modular, layered architecture (foundation, platform, workloads).
  • Build and maintain standardized CI/CD pipelines in Azure DevOps using YAML-first, reusable templates and automation best practices.
  • Manage and optimize Kubernetes environments (AKS), including lifecycle operations, upgrades, reliability, and performance tuning.
  • Implement and promote GitOps practices with PR-driven workflows and a single source of truth for infrastructure and deployments.
  • Strengthen platform security through secretless authentication, least-privilege access models, and Azure Key Vault integration.
  • Drive observability and automation initiatives using monitoring and logging tools such as Datadog and LGTM stack.
  • Contribute to engineering excellence through code reviews, mentoring, and sharing DevOps best practices across teams.
View Full Description & ApplyYou'll be redirected to the employer's site
View details
Apply Now