Staff Software Engineer
Obsidian Security
| Company | Obsidian Security |
| Category | Engineering |
| Location | Philadelphia |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 30 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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.
About the Role - as a Staff Software Engineer at Obsidian, you'll:
Own meaningful product and platform work across Obsidian's engineering stack, with scope that extends beyond a single team. This is a generalist role for someone who can move between backend services, data flows, APIs, product features, integrations, and production systems without getting stuck at the boundaries between them, and who can set technical direction that other engineers and teams align to.
You'll work on systems that help customers understand activity, risk, and threats across their SaaS environments. Some problems will be well-defined. Others will start as a customer need, a security signal, or a vague product idea that needs technical shape. You should be comfortable turning that ambiguity into an architecture, a multi-team plan, and working software — and comfortable being the person others look to when the technical path forward is unclear.
What you'll do
Own features and system architecture from problem definition through production, at a scope spanning multiple teams or the broader platform
Design and build backend services, APIs, data processing workflows, integrations, and product-facing capabilities
Set technical direction and architectural standards that other engineers and teams build against
Work with product managers, designers, security researchers, and engineers to turn customer needs into shipped software
Improve the performance, reliability, scalability, and observability of existing systems, and identify systemic risks before they become incidents
Make practical technical decisions with organization-wide impact and explain the tradeoffs clearly to both technical and non-technical stakeholders
Raise engineering standards through code reviews, design discussions, mentoring senior and mid-level engineers, and documentation
Debug the hardest production issues and drive teams to durable fixes, not just short-term patches
Use AI-powered tools effectively while maintaining high standards for correctness, security, and maintainability
What's in It for You
Direct, high-leverage impact on a core security product used by enterprises worldwide
Variety across backend engineering, data pipelines, SaaS integrations, detection systems, cloud infrastructure, and customer-facing workflows
A chance to define the technical approach to current security problems around SaaS, identity, data
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