Senior Software 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.

As a Senior Software Engineer at Obsidian youll:

Own meaningful product and platform work across Obsidians engineering stack. 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.

Youll 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 a design a plan and working software.

What youll do

• Own features and system improvements from problem definition through production
• Design and build backend services APIs data processing workflows integrations and product-facing capabilities
• 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
• Make practical technical decisions and explain the tradeoffs clearly
• Help raise engineering standards through code reviews design discussions mentoring and documentation
• Debug production issues and help teams get to durable fixes not just short-term patches
• Use AI-powered tools effectively while maintaining high standards for correctness security and maintainability

Whats in It for You

• Direct 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 work on current security problems around SaaS identity data movement and AI usage
• Strong peers across product engineering security research and go-to-market teams
• A fast-moving environment where senior engineers are expected to own problems influence direction and ship

Required Skills & Experience

• 5 years of experience in a software engineering role
• Strong proficiency in one or more modern programming languages such as Python Go TypeScript or SQL
• Experience designing and building backend services APIs distributed systems data processing workflows or production product features
• Strong understanding of relational databases such as Postgres
• Experience with cloud platforms such as AWS or GCP
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes
• Experience with event-driven or streaming systems such as Kafka Redis or similar technologies
• Ability to reason about system design performance reliability security and operational tradeoffs
• Experience leading technical work across a team without needing formal authority
• Strong communication skills in code reviews design discussions and cross-functional planning

Desirable Experience

• Experience with observability and monitoring tools such as Grafana Prometheus or similar platforms
• Experience with CI/CD pipelines and deployment tooling such as GitLab CI/CD
• Exposure to large-scale distributed systems high-throughput ingestion or data pipeline architecture
• Background or interest in security SaaS platforms identity threat detection or data protection
• Experience working across multiple engineering teams or across geographically distributed teams
• Experience mentoring engineers and helping teams improve technical practices
• Experience evaluating AI-generated code and using AI tools as part of an engineering workflow

AI Skills & AI-Native Engineering Expectations

As an AI-forward engineering organization we expect senior engineers to effectively leverage AI tools and understand foundational AI concepts to improve development efficiency and build AI-ready systems.

AI Engineering Capabilities

• Leverage AI tools effectively to improve development efficiency and build AI-ready systems
• Critically evaluate test and refine AI-generated outputs before they reach production
• Understand core AI/ML concepts such as LLMs embeddings vector databases inference and evaluation
• Experience integrating AI/ML APIs or building systems that support AI-driven product workflows is a plus
• Ensure quality observability reliability security and performance in systems that use or support AI capabilities