
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.
• Execute and evolve an incremental modernization strategy, safely transitioning legacy systems into well-bounded services while maintaining reliability and continuity • Decompose monolithic systems incrementally using patterns such as strangler fig • Manage coexistence between legacy and modern systems during transition • Design clear service boundaries, contracts, and data ownership models • Ensure backward compatibility and safe evolution of APIs and data during migration • Improve performance, scalability, and maintainability as part of modernization efforts • Identify and prioritize high-impact areas for migration based on risk and value
• 4+ years of professional software engineering experience • Strong backend development experience (Ruby, Node.js, or similar) • Solid understanding of REST APIs, service contracts, distributed systems, and common software design patterns • Hands-on experience with automated testing across unit, integration, and API layers • Experience building and operating cloud-native services in AWS • Familiarity with CI/CD practices and modern deployment workflows • Experience using observability tools (e.g. Datadog or equivalent) to monitor, troubleshoot, and resolve production issues • Ability to balance migration velocity with system stability and risk • Experience with or strong interest in AI-assisted development tools (e.g. GitHub Copilot, ChatGPT, Cursor)
• AI-augmented development opportunities • 24/7 on-call rotation • Equal Employment Opportunity employer • Work environment free of discrimination and harassment
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