Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API
Audit
Change Management @ 4
ClickHouse
Compliance @ 3
JavaScript @ 6
Python @ 6
Security @ 7
TypeScript @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
ClickHouse is establishing a centralized Security Automation capability to deliver automation across product lines and engineering functions, supporting Security, Identity, and GRC teams. The team will own security and identity automation end-to-end, from architecture and design through implementation and delivery.
Responsibilities
Build the Security Telemetry and Risk Fabric
- Translate control frameworks into layered control implementations that prevent risks and detect weaknesses in control design.
- Build a centralized security telemetry system that captures control evidence and health in real time.
- Develop custom assurance logic that continuously audits automated controls and extends visibility into proprietary applications and internal workflows.
- Partner with risk management to build secure, agentic risk-assessment workflows using collected data and results.
Architect Universal Identity and Access Automation
- Design provisioning connectors for systems without native identity governance and administration support, including proprietary databases, custom applications, and niche SaaS platforms.
- Build workflows that enable customer-approved, time-bound access for support teams to customer-specific instances, with automatic revocation.
- Consolidate access managed by disparate business units into an observable permissions inventory with authorization-level visibility across applications.
- Automate the discovery and inventory of secrets, credentials, and API keys, including aging and rotation intervals for long-lived keys.
- Automate de-provisioning for local identities, API keys, and persistent permissions to eliminate ghost accounts.
Partner Across Security, Engineering, and Product
- Work with GRC, Finance, and Security teams to build automation for compliance with different audit frameworks.
- Remove manual provisioning workflows that slow projects and create administrative tickets.
Requirements
- Strong hands-on experience in security automation and identity engineering, including IAM and IGA.
- Strong proficiency in at least one commonly used programming language for scalable automation. Python, JavaScript—with TypeScript highly preferred—or Go is required.
- Experience building scalable and reliable automation ecosystems.
- Familiarity with compliance automation, continuous control monitoring, and extending GRC tools for different compliance frameworks.
- Understanding of risks related to change management, logical access, and data integrity.
- Ability to translate complex security and GRC mandates into automated workflows and self-healing technical guardrails.
- Strong focus on reducing operational friction and engineering interruptions.
- Experience delivering continuous data streams for security posture and risk validation.
Bonus Qualifications
- BS, MS, or PhD in Computer Science or a related field.
- Experience at a cloud infrastructure, database, or developer tools company.
- Experience with AI or agentic risk engines and non-deterministic risk assessments.
Compensation
The typical starting salary in the United States is $125,000–$174,000 USD. In US premium markets, including the San Francisco Bay Area and New York City Metro Area, the typical starting salary is $157,000–$205,000 USD. Actual compensation depends on factors including education, qualifications, certifications, experience, skills, location, performance, and business needs.
Benefits
- Flexible, remote-friendly work environment.
- Employer healthcare contributions.
- Company equity through stock options.
- Flexible time off in the United States and generous entitlement in other countries.
- $500 home office setup allowance for remote employees.
- Opportunities to attend company-wide global gatherings.
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