opengreenhousegreylock
Software Engineer
Obsidian Security
LocationUS Remote, US remote
WorkplaceFull
Last observed2026-06-13 05:23:19.488237
Job idgreylock-obsidian-security:greenhouse:5218401008
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. As a Software Engineer at Obsidian, you’ll: Work across different parts of the product and codebase: backend services, APIs, data pipelines, integrations, product features, and internal tools. This is a good role for someone who likes variety and is comfortable learning a new area without needing everything mapped out in advance. You might spend one week improving an ingestion service, the next building an API for a customer-facing workflow, and the next helping debug a production issue with another team. The work is practical, product-driven, and close to real customer problems. What you’ll do Build and maintain product features across backend services, APIs, data systems, and user-facing workflows Work with product managers, designers, security researchers, and other engineers to ship useful, reliable software Contribute to services that process SaaS activity, identity data, permissions, alerts, and security findings Improve existing systems for performance, reliability, maintainability, and observability Write clear, well-tested code and participate in code reviews and design discussions Learn unfamiliar parts of the stack and help where the team needs you most Use AI-powered development tools thoughtfully while reviewing and validating the output What’s in It for You Contribute to a core product used by enterprises worldwide Work on security problems across SaaS, identity, data, and AI usage Learn from experienced engineers across the US and UK teams Build depth in backend engineering while getting exposure to adjacent areas like data pipelines, detection systems, cloud infrastructure, and product engineering Be part of a fast-moving company where engineers are expected to own real problems Required Skills & Experience 3+ years of experience in a software engineering role Proficiency in one or more modern programming languages such as Python, Go, TypeScript, or SQL Experience building backend services, APIs, data processing systems, or product features Familiarity with relational databases such as Postgres Understanding of software design principles, testing, debugging, and clean code practices Experience working with Git and participating in code reviews Comfort working in a collaborative team environment with changing requirements Curiosity and willingness to learn unfamiliar systems, tools, and problem domains Desirable Experience Experience with cloud platforms such as AWS or GCP Exposure to containerization technologies
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