Principal DevOps/Platform Engineer

Vance Airscoop

Christiansburg (VA)

On-site

USD 146,000 - 182,000

Full time

14 days+

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Job summary

DISH Network LLC is seeking a Principal DevOps/Platform Engineer in Christiansburg, VA, to drive AI-enabled DevOps practices across AWS and GCP, and to enhance Kubernetes deployments, CI/CD pipelines, and observability. The role emphasizes reliability, security, and scalable platform engineering.

The candidate will lead testing strategies, service reliability metrics, and incident response while mentoring junior engineers and collaborating with leadership on testing standards and automation

Qualifications

  • Bachelor's degree in CS/CE/IS Security or related field with 6+ years of platform/devops experience.
  • 6 years designing, deploying, and managing large-scale Kubernetes environments (EKS, GKE).
  • 6 years designing high-availability, multi-region cloud architectures.
  • 5 years observability/monitoring incl. distributed tracing, metrics, logging.
  • 5 years IaC using Terraform.
  • 3 years CI/CD and GitOps implementation.
  • 3 years SRE practice including SLOs/SLIs and incident runbooks.

Responsibilities

  • Drive AI-enabled DevOps by integrating Generative AI tools into the SDLC for code generation, testing, incident analysis, and productivity improvements.
  • Design and implement cloud-based environments on AWS and GCP to support scalable, high-availability applications.
  • Develop and enhance CI/CD pipelines and automated testing frameworks to improve quality and reliability.
  • Collaborate with teams to integrate automated testing, performance testing, and security validation into CI/CD.
  • Define SLOs/SLIs and incident response procedures to improve application stability.
  • Mentor engineers on test automation, performance engineering, and cloud-based testing methods.
  • Travel to HQ in Denver, CO twice a year.

Skills

Kubernetes
Cloud architecture
CI/CD
Observability
IaC (Terraform)
SRE

Education

Bachelor's degree in Computer Science/Engineering/IS Security or related

Tools

Dynatrace
Prometheus
OpenTelemetry
Terraform

Job description

Principal DevOps/Platform Engineer (DISH Network LLC, Christiansburg, Virginia)
  • Drive AI-enabled DevOps by integrating Generative AI tools into the SDLC for code generation, testing, incident analysis, and productivity improvements, and support scalable AI-enabled platform capabilities, including prompt management, usage monitoring, and observability (10% of the time).
  • Design and implement cloud-based application environments across AWS and GCP to support scalable, high-availability software applications; contribute to Kubernetes-based deployments and environment configuration to support development and testing workflows (10% of the time).
  • Develop and enhance CI/CD pipelines and automated testing frameworks to improve software quality, deployment efficiency, and system reliability (10% of the time).
  • Collaborate with development and DevOps teams to integrate automated testing, performance testing, and security validation into continuous integration and delivery processes (10% of the time).
  • Design and execute load, performance, reliability, and regression testing strategies for distributed and cloud-native applications (10% of the time).
  • Participate in defining service reliability metrics, including service-level objectives (SLOs), service-level indicators (SLIs), and incident response procedures to improve application stability (10% of the time).
  • Conduct root-cause analysis of production defects and performance issues and implement improvements to testing frameworks, automation coverage, and deployment processes (10% of the time).
  • Implement security and compliance validation mechanisms within DevOps pipelines, including vulnerability scanning and automated quality gates (10% of the time).
  • Evaluate system performance and resource utilization and recommend optimizations to improve application efficiency and reduce operational risks (5% of the time).
  • Contribute to architectural design discussions for core platforms and services, providing input from a software quality, performance, and reliability perspective (5% of the time).
  • Mentor junior engineers on test automation, CI/CD practices, performance engineering, and cloud based testing methodologies (5% of the time).
  • Partner with engineering leadership to improve testing standards, automation maturity, and overall software development lifecycle processes (5% of the time).
  • Travel required to HQ in Denver, CO twice a year.

Salary: $ $145,600 - 181,500 per year.

MINIMUM REQUIREMENTS
  • Bachelor's degree or U.S. equivalent in Computer Science, Computer Engineering, Information Systems Security, or a related field, plus 6 years of professional experience as a Platform Engineer, DevOps Engineer or any occupation, job title, position involving cloud infrastructure engineering, DevOps engineering, and platform engineering.
  • Must also have experience in the following: 6 years of professional experience designing, deploying, and managing large-scale Kubernetes environments, including multi-cluster and multi-tenant architectures using Amazon EKS and Google Kubernetes Engine (GKE).
  • 6 years of professional experience designing high availability and multiregion cloud architectures to support resilient enterprise workloads, including failover strategies and disaster recovery planning.
  • 5 years of professional experience developing and maintaining observability and monitoring systems, including distributed tracing, metrics collection, centralized logging, and monitoring frameworks using tools (including Dynatrace, Prometheus, and OpenTelemetry).
  • 5 years of professional experience using Infrastructure as Code (IaC) including Terraform.
  • 3 years of professional experience implementing CI/CD and GitOps frameworks, including pipeline design, deployment automation, configuration management, and release engineering practices.
  • 3 years of professional experience implementing Site Reliability Engineering (SRE) practices, including defining service-level objectives (SLOs), service-level indicators (SLIs), error budgets, incident response processes, and operational runbooks.
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