Principal DevOps/Platform Engineer

Christiansburg, VA, US • Posted 19 hours ago • Updated 6 hours ago
Full Time
On-site
USD $145,600.00 - 181,500.00 per year
Fitment

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Job Details

Skills

  • Satellite
  • Television
  • Streaming
  • Internet
  • Apache Sling
  • Boost
  • Wireless Communication
  • Network
  • Generative Artificial Intelligence (AI)
  • Software Development Methodology
  • Productivity
  • Artificial Intelligence
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Workflow
  • Collaboration
  • Performance Testing
  • Continuous Integration and Development
  • Regression Testing
  • Root Cause Analysis
  • Regulatory Compliance
  • Vulnerability Scanning
  • Architectural Design
  • Quality Assurance
  • Mentorship
  • Automated Testing
  • Performance Engineering
  • Test Methods
  • Leadership
  • Testing
  • Software Development
  • Computer Science
  • Computer Engineering
  • Information Systems
  • IaaS
  • DevOps
  • Management
  • Amazon EKS
  • Kubernetes
  • High Availability
  • Cloud Computing
  • Failover
  • Disaster Recovery
  • Dynatrace
  • Terraform
  • Continuous Integration
  • Continuous Delivery
  • Configuration Management
  • Release Engineering
  • Reliability Engineering
  • Service Level
  • Budget
  • Incident Management

Summary

Company Summary

EchoStar is reimagining the future of connectivity. Our business spans satellite television service, streaming and on-demand programming, smart home installation services, 5G wireless consumer and commercial services, internet and other enterprise products.

Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.

Job Duties and Responsibilities

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 Google Cloud Platform 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

Skills, Experience and Requirements

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.

CONTACT: Apply online at echostar.com/careers OR email resume to Must specify REQ # 2026-100641

Salary Ranges

Compensation: $145,600.00/Year - $181,500.00/Year
Benefits

Benefits information available at careers.dish.com.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10120919
  • Position Id: 98cc1b09abdbe32d668f5fe448fa13a6
  • Posted 19 hours ago
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