Sr. Site Reliability Engineer

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.

Sr. Site Reliability Engineer (SRE) Obsidian

At Obsidian our Sr. Site Reliability Engineers ensure the reliability scalability and operational excellence of a complex multi-tenant SaaS platform serving enterprise and financial customers. As an SRE you will work closely with DevOps Platform Engineering and product teams to improve system observability incident response and service resilience across the platform.

This is a hands-on engineering role focused on building operational excellence through monitoring automation debugging and continuous improvement. You will help ensure that issues are detected and addressed quickly while contributing to systems that improve platform reliability at scale.

Key Responsibilities

• Reliability Engineering: Improve the reliability availability and resiliency of Obsidians production systems and distributed services
• Detection & Observability: Build and maintain monitoring alerting dashboards and observability tooling to enhance system visibility and reduce operational noise
• Incident Response & Operations: Support incident response on-call operations troubleshooting and postmortem processes to drive operational excellence
• Collaboration: Partner with engineering teams to implement SLI/SLO practices operational standards and reliability-focused workflows
• Execution: Automate infrastructure operations deployment workflows and platform tooling across Kubernetes cloud infrastructure and data pipelines

Required Qualifications

• 3-6 years of experience in Site Reliability Engineering DevOps Production Engineering or related roles
• Experience operating and supporting production systems in AWS and/or GCP
• Familiarity with Kubernetes and Helm in cloud-native environments
• Experience with observability and monitoring tools such as Prometheus Grafana Datadog or similar platforms
• Exposure to CI/CD systems such as GitLab CI/CD GitHub Actions ArgoCD or equivalent
• Strong troubleshooting and debugging skills across distributed systems and microservices
• Experience writing automation or infrastructure tooling using scripting or programming languages
• Strong systems thinking and a collaborative engineering mindset

Preferred Qualifications

• AI Agent development experience
• Experience supporting SaaS platforms in production environments
• Familiarity with incident management and postmortem practices
• Exposure to infrastructure-as-code and GitOps workflows
• Understanding of SLI/SLO concepts and operational metrics
• Experience with enterprise-scale monitoring or customer-facing production systems

Why This Role

• Work on reliability challenges across a large-scale distributed SaaS platform
• Build and improve observability and operational tooling used across engineering
• Gain hands-on experience with cloud infrastructure Kubernetes and production systems
• Help safeguard critical services for enterprise and financial customers

What Success Looks Like

• Production issues are detected and resolved quickly
• Monitoring and alerting provide clear actionable operational insights
• Reliability metrics and operational practices improve over time
• Engineering teams can effectively troubleshoot and self-serve observability
• Automation reduces operational toil and improves platform stability