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Companies like Netflix, Amazon, and Google are paying up to $170K+ for engineers whose job is to intentionally break production systems. In this video, we unpack how 58 chaos engineering works, why it pays so well, and the exact path to landing one of these roles. 💰⚙️
If you’re in 62 sre, 61 devops, or senior backend engineering and want a higher-leverage, higher-paying role, this is your roadmap. ⏱
Timestamps:
0:00 – Why Chaos Engineers get $170K+
0:45 – Netflix’s Chaos Monkey origin story
2:30 – What Chaos Engineering actually is
4:00 – Why companies pay so much for this skill
5:30 – Tools: Chaos Monkey, Gremlin, Litmus, Chaos Toolkit
7:00 – Step-by-step path to becoming a Chaos Engineer
🔥 What you’ll learn:
• How Netflix invented 58 chaos monkey and transformed reliability
• The 5-step chaos experiment process (steady state → hypothesis → failure injection → observe → improve)
• Why outages cost $5,600+ per minute and how that justifies $170K+ compensation
• The core stack for Chaos Engineers: cloud, observability, distributed systems, incident response
• A practical 2–4 year career path from 62 sre/59 devops engineer to 53 chaos engineer
• How to introduce chaos experiments at your current company and turn that into a portfolio
👤 Who this video is for:
• SREs and DevOps engineers who want senior-level pay and impact
• Backend / platform engineers curious about reliability and failure testing
• Tech professionals interested in Netflix-style engineering practices
• Anyone exploring high-paying, niche tech roles with strong job security
📈 Next steps for you:
• Start running safe chaos experiments in non-prod environments
• Build a portfolio of documented failures, learnings, and reliability wins
• Leverage those projects to position yourself for 0 chaos engineering jobs and internal promotions
🔔 Subscribe for weekly deep dives into high-paying tech roles, interview strategies, and real-world career playbooks.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
By Chris SchwenkCompanies like Netflix, Amazon, and Google are paying up to $170K+ for engineers whose job is to intentionally break production systems. In this video, we unpack how 58 chaos engineering works, why it pays so well, and the exact path to landing one of these roles. 💰⚙️
If you’re in 62 sre, 61 devops, or senior backend engineering and want a higher-leverage, higher-paying role, this is your roadmap. ⏱
Timestamps:
0:00 – Why Chaos Engineers get $170K+
0:45 – Netflix’s Chaos Monkey origin story
2:30 – What Chaos Engineering actually is
4:00 – Why companies pay so much for this skill
5:30 – Tools: Chaos Monkey, Gremlin, Litmus, Chaos Toolkit
7:00 – Step-by-step path to becoming a Chaos Engineer
🔥 What you’ll learn:
• How Netflix invented 58 chaos monkey and transformed reliability
• The 5-step chaos experiment process (steady state → hypothesis → failure injection → observe → improve)
• Why outages cost $5,600+ per minute and how that justifies $170K+ compensation
• The core stack for Chaos Engineers: cloud, observability, distributed systems, incident response
• A practical 2–4 year career path from 62 sre/59 devops engineer to 53 chaos engineer
• How to introduce chaos experiments at your current company and turn that into a portfolio
👤 Who this video is for:
• SREs and DevOps engineers who want senior-level pay and impact
• Backend / platform engineers curious about reliability and failure testing
• Tech professionals interested in Netflix-style engineering practices
• Anyone exploring high-paying, niche tech roles with strong job security
📈 Next steps for you:
• Start running safe chaos experiments in non-prod environments
• Build a portfolio of documented failures, learnings, and reliability wins
• Leverage those projects to position yourself for 0 chaos engineering jobs and internal promotions
🔔 Subscribe for weekly deep dives into high-paying tech roles, interview strategies, and real-world career playbooks.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.