Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more.
Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black.
Now, we're transforming how SaaS is secured—in the era of agentic AI.
Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world's largest Fortune 1000 and Global 2000 companies.
With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security!
DevOps focuses on providing an end-to-end service to turn software into live services. We work closely with Engineering, QE, and Customer Support teams to continuously improve engineering productivity and service reliability. We are also building Sherlock, an AI-powered SRE agent that automates incident investigation, root cause analysis, and runbook execution — and we need engineers who can both keep the infrastructure running and push the frontier of what AI-driven operations can do.
Based in Sydney, Australia, this is a hybrid role for someone who thrives in both worlds: a hands-on infrastructure engineer who can own GCP/AWS cloud operations at scale, and a backend engineer capable of building the AI agent layer that makes Sherlock intelligent and self-improving. You will own core DevOps responsibilities while also contributing to — and eventually leading — Sherlock's knowledge capture pipeline, investigation state machine, accuracy benchmarking, and Phase 4 capability expansions.
