Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more.

Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we’ve built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black.

Now, we’re transforming how SaaS is secured—in the era of agentic AI.

Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 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.

With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we’re scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security!

Senior/Staff Backend Software Engineer (Data Retrieval, Data Processing Infrastructure & Data Management)

Overview: We are seeking a highly skilled Staff Backend Software Engineer to design and build scalable data infrastructure systems, including management control planes, SaaS data retrieval connectors, and distributed data processing pipelines. In this role, you will drive improvements in system stability, scalability, reliability, and cost efficiency. You will play a critical role in developing backend services and automation frameworks while collaborating closely with Engineering, DevOps, and Product teams. Your work will directly influence infrastructure performance and ensure platform optimizations align with an exceptional user experience.

Responsibilities

Design and develop scalable backend APIs to support frontend applications and customer onboarding workflows.
Architect and build data retrieval connectors for multiple SaaS platforms with high reliability and extensibility.
Design and implement distributed data processing pipeline components running in Kubernetes environments.
Develop and maintain management control plane services for data orchestration and governance.
Partner with DevOps to implement GitOps-driven infrastructure automation and CI/CD best practices.
Optimize infrastructure for performance, scalability, observability, and cost efficiency across cloud environments.
Collaborate with Engineering and Product leadership to align technical solutions with business objectives while maintaining system reliability and user experience.
Contribute to architectural decisions, technical strategy, and engineering best practices.

Requirements:

7–10 years of professional experience in backend or systems engineering.
Strong proficiency in Golang and/or Python.
Extensive experience designing and building RESTful APIs and gRPC services.
Hands-on experience with Kubernetes and containerized distributed systems.
Experience building scalable data processing systems or pipelines.
Strong understanding of distributed systems concepts, databases, concurrency, and performance optimization.
Experience operating in AWS and/or GCP, including cloud cost optimization strategies.
Familiarity with infrastructure-as-code and GitOps practices.
Strong analytical and problem-solving skills with a data-driven mindset.
Excellent collaboration and communication skills.

Nice to Have

SaaS integrations, event-driven systems (Kafka), or platform/control plane design.
Observability tooling (Prometheus, Grafana, OpenTelemetry).
Security or compliance-driven system experience.

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 enhance development efficiency and build AI-ready systems.

AI Engineering Capabilities:

Leverage AI tools effectively to improve development efficiency and build AI-ready systems.
Proficient with AI-powered developer tools; able to critically evaluate and refine AI-generated outputs.
Strong understanding of core AI/ML concepts (LLMs, embeddings, vector databases, inference, evaluation).
Experience integrating AI/ML APIs and building AI-ready data infrastructure (e.g., for RAG).
Ensure data quality, governance, observability, reliability, security, and performance in AI-driven systems.

Employee Benefits

Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy:

Competitive compensation with equity and 401k
Comprehensive healthcare with dental and vision coverage
Flexible paid time off and paid holiday time off
12 weeks of new parent or family leave
Personal and professional development resources

For more details on our US benefits, or for information on our international benefits, please see here.

Pay Transparancy

Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company.

At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com

Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy.

Base Salary Range

$219,000—$247,000 USD

Staff Backend Software Engineer

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