• Define and execute a technology roadmap aligned with business goals and rapid scaling. • Lead and mentor engineering and technology teams, fostering a culture of ownership, innovation, and continuous learning. • Drive digital transformation and improve product, platform, and process efficiency. • Design and oversee secure, scalable system architecture and infrastructure. • Manage the tech budget and make smart, cost-effective technology decisions. • Work closely with founders, leadership, and stakeholders to turn business needs into technical solutions. • Manage vendors, cloud platforms, and technology partners. • Ensure strong data security, risk management, and regulatory compliance.

• Lead, coach, and develop Engineering Managers and Software Engineers across multiple Scrum teams. • Serve as a senior people leader for the organization, supporting hiring strategy, performance management, career development, and succession planning. • Oversee delivery health across multiple teams, ensuring alignment to strategic priorities, cross-team coordination, and predictable outcomes. • Drive delivery execution across teams by partnering with Product Owners, Scrum Masters, Architects, and peer leaders to ensure aligned priorities and capacity balance. • Identify and address systemic issues impacting engineering effectiveness, including processes, dependencies, tooling, architecture alignment, and team structure. • Ensure teams consistently deliver high-quality, scalable, and maintainable software aligned with architectural standards. • Balance short-term delivery needs with long-term technical health, platform sustainability, and team capacity. • Foster a culture of accountability, collaboration, psychological safety, and continuous improvement across teams. • Serve as a senior escalation point for delivery risks, people challenges, and cross-team conflicts. • Contribute to organizational design, capacity planning, and workforce strategy to support business growth and product roadmap needs. • Help define and reinforce engineering standards, best practices, and ways of working across teams. • Collaborate with Architecture and senior technical leaders to ensure sound technical direction and alignment. • Monitor delivery and engineering health metrics across teams and use data to drive organizational improvement. • Encourage engineering best practices including code reviews, testing, documentation, and operational excellence. • Mentor Engineering Managers and emerging technical and people leaders. • Communicate effectively with stakeholders and senior leadership on progress, risks, and outcomes. • Support organizational initiatives related to process improvement, tooling, and engineering maturity

• Design, develop, and deploy complex, multi-step AI agents with tool-use, memory and context management, leveraging LangChain, LangGraph, and LangSmith frameworks, and integrating with foundational Large Language Models (LLMs). • Integrate LLMs with external tools, APIs, knowledge sources, and enterprise systems. • Build retrieval layers (e.g., hybrid search, vector search, metadata filtering) optimized for LLM consumption. • Stay up to date with cutting-edge technologies and best practices for building Gen AI-based applications.

• Architect and deliver complex stream-processing solutions. • Mentor engineering teams and foster a culture of technical excellence. • Collaborate with cross-functional stakeholders for robust technical systems. • Optimize streaming jobs for performance, fault tolerance, and resource efficiency. • Conduct design reviews and troubleshoot production issues. • Develop and maintain high-performance backend services and distributed systems using Java. • Design scalable event-driven architectures for high-throughput workloads.