DevOps Engineer

CrowdStrike
Denver, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 116K

Job location

Remote
Denver, United States of America

Tech stack

API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Cloud Computing
Computer Security
Continuous Integration
Software Debugging
DevOps
Productivity Software
Reliability Engineering
Software Engineering
Data Logging
Application Enhancement Tool
Cloud Platform System
DevOps Tools - Open-source
React
System Availability
Multi-Agent Systems
Software Troubleshooting
Backend
Gitlab
Cloudformation
Containerization
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Terraform

Job description

  • Support the deployment and successful launch of a customer-facing technology platform

  • Design, implement and maintain scalable cloud infrastructure within AWS

  • Build, maintain and optimize CI/CD pipelines to support efficient software delivery

  • Collaborate closely with software engineers, product leaders and business stakeholders

  • Support and modify live production applications while identifying bugs and implementing fixes

  • Troubleshoot production issues and drive root cause analysis through resolution

  • Monitor application performance, system reliability and infrastructure health

  • Implement observability, logging, alerting and incident response processes

  • Manage infrastructure as code and environment configuration

  • Support security, compliance and operational best practices

  • Continuously improve deployment processes, automation and platform reliability

  • Partner with engineering teams to streamline development workflows

  • Contribute to application development and code-level troubleshooting when needed

  • Evaluate and leverage AI-powered tools to improve productivity, automation and operational effectiveness, The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams. Top Skills: Artificial IntelligenceBig DataCybersecurityMachine Learning Samsara

Customer Support Specialist

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Project Manager

2 Hours Ago Easy Apply Remote United States Easy Apply Senior level Senior level Cloud * Security * Software * Cybersecurity * Automation Manage large-scale software and consulting projects end-to-end for enterprise customers. Coordinate cross-functional teams, executive stakeholder communications, escalations, delivery schedules, scope, risks, and revenue recognition while improving Professional Services PM processes, tools, metrics, and templates. Top Skills: AgileGitlabPmi (Project Management Institute Methodologies)ScrumSdlc

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  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Requirements

  • 3+ years of experience in DevOps, Site Reliability Engineering, Cloud Infrastructure or a related software engineering role

  • Strong experience supporting AWS-based environments

  • Experience building and maintaining CI/CD pipelines

  • Experience supporting production applications in cloud environments

  • Demonstrated ability to troubleshoot, modify and improve live software

  • Experience with infrastructure automation and deployment tooling

  • Knowledge of monitoring, logging and observability solutions

  • Strong troubleshooting, debugging and problem-solving skills

  • Ability to collaborate effectively with software engineers, product leaders and business stakeholders

  • Excellent communication and collaboration abilities

Preferred

  • Full-stack software engineering experience

  • Experience building and shipping customer-facing software with active users

  • Experience supporting applications throughout the full software development lifecycle

  • Experience working in Agile software development environments

  • Startup or high-growth company experience

  • Experience supporting or developing React-based applications

  • Familiarity with modern backend architectures and APIs

  • Experience with Infrastructure as Code tools such as Terraform or CloudFormation

  • Experience supporting containerized environments and orchestration platforms

  • Experience working with Rust or a similar modern backend language

  • Interest in emerging AI technologies and experience using AI tools to enhance engineering productivity and operational efficiency

Technology Environment

The role will focus primarily on cloud infrastructure, software delivery and operational excellence. Exposure to the broader technology stack is highly beneficial:

  • AWS Cloud Platform

  • React

  • Rust

  • Modern backend architectures and APIs

  • Infrastructure as Code

  • Containerization and orchestration technologies

  • Modern CI/CD and DevOps tooling

  • Monitoring, logging and observability platforms

  • AI-powered engineering and productivity tools

Benefits & conditions

Posted Yesterday In-Office or Remote Hiring Remotely in Denver, CO, USA 50-56 Hourly Mid level In-Office or Remote Hiring Remotely in Denver, CO, USA 50-56 Hourly Mid level Support deployment and operation of a customer-facing platform: design and maintain AWS infrastructure, build and improve CI/CD pipelines, troubleshoot production issues, implement observability and IaC, support security/compliance, collaborate with engineering and product teams, and evaluate AI tools to improve automation and reliability. The summary above was generated by AI

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