Chief Architect - India
About the role
Key Responsibilities:
• Architectural Disruption & Design: Continuously evaluate our existing platform architecture and suggest/implement transformative design changes to leverage the latest advancements in AI.
• AI Evangelism & Strategy: Act as the internal and external champion for AI. Challenge legacy mindsets, drive a culture of disruptive innovation, and articulate a clear AI vision that aligns with our business goals in the Identity space.
• Technical Leadership & Guidance: Serve as the trusted advisor and strategic partner to the Head of Engineering and executive leadership, translating complex AI developments into actionable product and engineering strategies.
• Scale & Performance: Architect robust, scalable, and secure AI-driven systems capable of handling massive data volumes and high-traffic identity workflows globally.
• Mentorship & Team Building: Be a force multiplier for our technical teams. Provide hands-on mentorship, foster a culture of continuous learning, and elevate the technical capabilities of individual contributors and engineering managers.
• Competitive Analysis & Market Positioning: Keep a pulse on the rapidly evolving AI and Identity/Directory-as-a-Service markets. Conduct deep technical competitive analyses to ensure our architecture and AI features outpace industry rivals.
• Agile Adaptation: Maintain a nimble approach to architecture. Pivot and adapt technical strategies quickly as new AI models, frameworks, and security requirements emerge.
Required Qualifications:
• Deep AI Expertise: 15+ years of software engineering/architecture experience with at least 4+ years dedicated to deep AI integrations.
• Domain Expertise in Identity Space: Proven experience in the Identity and Access Management (IAM), Directory-as-a-Service (DaaS), Zero Trust, or endpoint management domains (comparable to JumpCloud, Okta, Ping Identity, etc.).
• Massive Scale Experience: A strong track record of designing, building, and maintaining distributed cloud architectures and data pipelines that operate reliably at massive scale.
• Disruptive & Nimble Mindset: Demonstrated ability to be an "agent of change." You are highly adaptable, agile, and comfortable pivoting architectures to adopt cutting-edge technologies.
• Exceptional Mentorship & Leadership: Proven experience elevating the teams around you. You are known as a technical leader who leads by influence, coaches individual engineers, and upskills entire organizations.
• Executive Communication: The ability to distill highly complex technical concepts into clear, strategic guidance for the Head of Engineering and C-suite leadership.
• Analytical Prowess: Strong capability to dissect competitors' products, anticipate industry trends, and translate those insights into architectural advantages.
Preferred Qualifications:
• Public Thought Leadership: Experience speaking at industry conferences, publishing technical papers, or maintaining a strong presence as an AI/Tech evangelist in the open-source community.
• Security & Privacy Background: Deep understanding of data privacy laws (GDPR, CCPA), AI ethics, and data security - critical for integrating AI into identity systems.
• Hands-on Coding Proficiency: While this is an architectural role, the ability to jump into the code (Python, Go, Rust, or similar) to build rapid proof-of-concepts (PoCs) is highly desirable.
• Cloud Native Mastery: Advanced certifications or deep expertise in AWS, GCP, or Azure AI ecosystems and cloud-native orchestration (Kubernetes, Docker).
• Experience in High-Growth Startups: A background of successfully navigating the ambiguity and rapid growth phases of a hyper-growth tech company.
Additional information
Not included in the source posting: about the role, benefits.
Skills
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