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DevOps / Site Reliability Engineer

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14 lessons3 levels1 capstone project
  • Debug production systems and automate repeatable infrastructure safely
  • Build repeatable delivery and operate Kubernetes with progressive rollout control
  • Engineer reliability with SLOs, observability, incident discipline and secure recovery

Benchmark: Google SRE + OpenAI Security Reliability + Delivery/CD roles (current Sep 2026) Mastery ladder: 2 current-market competencies per level; 2 substantive learning bridges per competency (12 total).

Who’s Hiring Right Now

US openings posted in the last 7 days at OpenAI — this role’s own benchmark employers — refreshed daily, as of 2026-11-01. Pulled directly from each company’s public job board; not exhaustive, and postings close fast — worth confirming the details on the employer’s own site before applying.

Remote only:LinkedIn →Indeed →
Full Role Guide — What This Role Actually Does, Tools, Interview Questions & FAQ

DevOps and SRE are two names for a closely related job: making sure software that works on someone's laptop also works reliably for real users, at 3am, under load, when a dependency goes down. At Google-style SRE and OpenAI-style security/reliability/delivery roles, the job is equal parts building the automation that prevents incidents and being the person who calmly fixes them when prevention wasn't enough.

The mental model that separates this from generic “ops” work is treating reliability as an engineering problem with a budget, not a moral virtue to maximize infinitely. Google popularized the error budget for a reason: 100% uptime is usually the wrong target, because the effort to get from 99.9% to 99.99% often isn't worth what it costs in shipping velocity. A good SRE can argue, with data, when to invest in reliability and when to ship faster instead.

Day to day, that shows up as infrastructure as code so environments are reproducible, CI/CD pipelines with staged or canary rollouts so a bad deploy affects 1% of traffic instead of 100%, and instrumentation good enough that when something breaks, you're reading a dashboard instead of guessing. The mastery path mirrors that arc: automate the infrastructure, build the pipeline, then own the service through a real incident and recovery.

Tools of the Trade

  • Infrastructure as code: Terraform or equivalent
  • CI/CD systems with staged/canary deployment support
  • Kubernetes or another container orchestration platform
  • Observability: metrics, logs, traces, and an alerting strategy that doesn't page you for noise
  • Incident response process: on-call, postmortems, and blameless root-cause analysis

Typical Interview Questions

  • Walk me through how you'd design a canary rollout for a risky deployment.
  • A service's error rate spikes at 2am. Walk me through your triage process.
  • How do you decide when an alert is worth paging someone for, versus a dashboard someone checks in the morning?
  • What's an error budget, and how would you use one to make a real prioritization decision?
  • Describe a postmortem you've written or would write for a real incident — what makes it blameless and useful?
  • How do you approach infrastructure drift, where the real environment stops matching what's in code?

How to Know You’re Ready

  • You've written infrastructure as code that survived being re-run by someone else without your help.
  • You can explain a canary or staged rollout strategy and why it beats an all-at-once deploy.
  • You've been on the other end of a real incident — diagnosed it, or at least understand what good triage looks like under pressure.
  • You have an opinion, backed by a tradeoff, on how much reliability is “enough” for a given service.

FAQ

Is DevOps the same job as SRE?

Closely related but not identical in emphasis. DevOps traditionally emphasizes the culture and tooling that connects development and operations — CI/CD, automation, collaboration. SRE (a term Google coined) applies software-engineering discipline specifically to reliability, often with concepts like error budgets and formal SLOs. Many job postings use the titles interchangeably.

Do I need to know Kubernetes specifically?

It's extremely common at this scale, but the transferable skill is reasoning about distributed systems reliably — orchestration, service discovery, rollout strategy. Don't over-index on one tool at the expense of the underlying judgment.

How much software engineering skill do I need, versus operations skill?

More than the “ops” stereotype suggests. Modern SRE/DevOps roles expect you to write real code — automation, tooling, sometimes services — not just operate infrastructure through a UI. If you can't write and test code, you'll hit a ceiling quickly.

Enrichment

BASIC

Debug production systems and automate repeatable infrastructure safely

Linux, networking and systems troubleshooting

Coverage: Linux, Operating Systems & Networking Foundations

Infrastructure as code, state and safe automation

Coverage: Infrastructure as Code / Cloud Automation

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