Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 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.
Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.
With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.
With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.
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.
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