Senior Software Engineer – Customer Platform Engineering

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 worlds 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 happensMicrosoft 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 theyre 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:

We are building a new engineering team focused on handling high-priority customer needs and operational escalations while protecting the broader engineering organization from disruption.

The Customer Platform Engineering (CPE) team addresses urgent investigations customer-blocking issues executive requests and rapid solution development that require immediate engineering attention. This team ensures that core engineering groups can remain focused on roadmap delivery while critical issues are resolved quickly and effectively. Members of this team act as experienced generalists who can move across systems diagnose complex problems and coordinate with multiple teams to deliver solutions under time pressure. This role is ideal for engineers who enjoy solving ambiguous problems working across the stack and delivering high-impact solutions in fast-moving situations.

Responsibilities:

• Triage and resolve urgent customer escalations and production issues
• Investigate complex system behavior and diagnose cross-service problems
• Develop rapid prototypes and proofs of concept to address customer needs
• Support pre-sales engineering with technical validation and feasibility analysis
• Respond to high-priority internal requests requiring rapid engineering response
• Coordinate with multiple engineering teams to unblock critical work
• Implement targeted fixes and document findings for long-term product improvements
• Identify systemic issues and recommend structural improvements to core engineering teams
• Contribute to internal tooling runbooks and operational processes that improve response time and reliability
• Leverage modern AI engineering tools to accelerate investigation debugging and solution development

Scope of Work:

This team focuses on rapid response and targeted engineering execution rather than long-term product ownership. The role will primarily involve:

• Urgent investigations
• Customer-blocking issues
• Cross-team coordination
• Rapid solution development

Qualifications:

• 6 years of software engineering experience
• Strong proficiency in GoLang and/or Python
• Strong troubleshooting and debugging skills across distributed systems
• Ability to quickly understand and work within unfamiliar codebases
• Experience working across multiple layers of the stack (backend frontend infrastructure APIs data systems)
• Strong communication skills and ability to coordinate across teams
• Comfortable working in high-priority time-sensitive situations

AI & Developer Productivity

• Proficiency using modern AI-assisted development tools (e.g. Claude Copilot
• ChatGPT or similar) to accelerate coding debugging and investigation
• Ability to effectively prompt validate and integrate AI-generated solutions while maintaining strong engineering judgment
• Experience incorporating AI tooling into engineering workflows to improve speed and operational effectiveness

Preferred:

• Experience supporting enterprise SaaS products
• Experience with production incident response or escalation engineering
• Familiarity with cloud platforms and modern infrastructure (e.g. Kubernetes
• AWS GCP)