
501 - 1000 employees
🔒 Cybersecurity
☁️ SaaS
🏢 Enterprise
💰 $3M Venture Round on 2004-07
Cybersecurity • SaaS • Enterprise
One Identity is a company that specializes in identity and access management solutions, focusing on protecting digital identities and simplifying user access across organizations. They offer a comprehensive suite of products designed to secure privileged access, govern user identities, and streamline compliance with regulations through automation. Their platform integrates AI-driven insights to enhance security and operational efficiency, supporting both on-premises and cloud environments.
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501 - 1000 employees
🔒 Cybersecurity
☁️ SaaS
🏢 Enterprise
💰 $3M Venture Round on 2004-07
Cybersecurity • SaaS • Enterprise
One Identity is a company that specializes in identity and access management solutions, focusing on protecting digital identities and simplifying user access across organizations. They offer a comprehensive suite of products designed to secure privileged access, govern user identities, and streamline compliance with regulations through automation. Their platform integrates AI-driven insights to enhance security and operational efficiency, supporting both on-premises and cloud environments.
• Own the execution of identity and resource lifecycle workflows through scalable, reliable distributed systems that transform intent into consistent, correct outcomes at scale • Design and evolve distributed workflow systems (e.g., pipelines, queues, workers, transformation layers) • Ensure correctness of asynchronous execution across retries, failures, and partial completion scenarios • Define and enforce patterns for idempotency, ordering, and consistency in distributed workflows • Optimize throughput, parallelism, and system performance across large-scale worker fleets • Improve reliability through robust retry strategies, backpressure handling, and failure recovery mechanisms • Define and manage ordering and consistency guarantees in distributed workflows where sequencing and dependencies matter • Ensure observability and diagnosability of workflows, including tracing, metrics, and runtime inspection • Identify high-impact areas for improving performance, reliability, and scalability in workflow systems • Guide evolution of legacy batch or monolithic processing into scalable, distributed execution models
• 8+ years of software engineering experience with ownership of distributed or high-scale production systems. • Strong backend development experience (Ruby, Node.js, or similar). • Solid understanding of APIs, distributed architectures, and software design principles. • Experience designing, building, and operating distributed, asynchronous systems. • Experience building secure, reliable systems with strong testing practices across unit, integration, and service layers. • Experience with observability, production debugging, and incident response. • Willingness to participate in a mandatory 24/7 on-call rotation. • Experience responding to production incidents and contributing to reliability improvements. • Experience using, or strong interest in, AI-powered development tools (e.g., GitHub Copilot, ChatGPT, Cursor).
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities
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