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Sr. DevOps Engineer, Falcon Complete; Remote

Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97458, USA
Listing for: CrowdStrike
Remote/Work from Home position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps, Backend Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 215000 USD Yearly USD 215000.00 YEAR
Job Description & How to Apply Below
Position: Sr. DevOps Engineer, Falcon Complete (Remote)

Employer Industry: Cybersecurity

Why consider this job opportunity:
  • Salary up to $215,000 per year with eligibility for bonuses and equity grants
  • Comprehensive physical and mental wellness programs
  • Competitive vacation and holidays for recharging
  • Professional development opportunities for all employees, regardless of level or role
  • Vibrant office culture with world-class amenities
  • Great Place to Work Certified™ across the globe
What to Expect (Job Responsibilities):
  • Design, build, and maintain scalable applications through CI/CD pipelines to automate Falcon Complete processes
  • Collaborate with developers to integrate CI/CD best practices into the software development lifecycle
  • Implement monitoring and alerting solutions to ensure system health and performance
  • Manage and optimize cloud infrastructure resources across development and production environments
  • Enhance security measures and implement infrastructure and application security best practices
What is Required (Qualifications):
  • Familiarity with Golang and its ecosystem
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Solid understanding of containerization (Docker) and orchestration (Kubernetes)
  • Strong CI/CD knowledge with hands‑on experience (Jenkins, Bitbucket)
  • Excellent problem‑solving skills and attention to detail
How to Stand Out (Preferred Qualifications):
  • Proficiency in Python and experience with web frameworks (Flask, FastAPI)
  • Experience with AI-assisted development tools and AI model integration
  • Experience building highly available, scalable systems
  • Microservices architecture and serverless computing knowledge
  • Networking fundamentals and security best practices expertise
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