Intuit Director Software Engineering 

India, Karnataka, Bengaluru 

436817855

Technology Strategy

: Operate in a high-velocity environment, make quick, informed decisions, and move swiftly to deliver quality outcomes.

• Bachelor's degree in Computer Science or a related field, along with at least 15+ years in the software industry, building scalable and high-performing tech solutions, and a minimum of 5+ years in an executive leadership role.
• Deep expertise in observability frameworks and practices, including distributed tracing, logging, and monitoring solutions, to enhance system visibility, detect anomalies, and improve incident response. Experience with industry-leading observability tools such as OpenTelemetry, Prometheus, Grafana and open source solutions.
• Proven ability to leverage AI/ML models for proactive incident management, including anomaly detection, root cause analysis, and predictive analytics, to improve system reliability, reduce mean time to resolution (MTTR), and enhance automated recovery processes.
• Strong track record of embedding observability and AI-driven insights into development workflows, ensuring engineering teams have real-time visibility into system health, performance bottlenecks, and operational risks to drive continuous improvements in reliability and efficiency.
• Demonstrated ability to deliver high-quality SaaS and PaaS products/platforms serving millions of customers and leveraging AI to innovate and transform product experiences and capabilities.
• Proven experience partnering with senior engineering and business leaders to influence organizational decisions and build high-performing engineering teams with the ability to lead, influence, and drive significant change across large and distributed development teams.
• Proficiency in making informed and swift decisions considering all key stakeholders (employees, customers, shareholders, partners) and evidence of making successful trade-offs between short and long-term product goals.
• Extensive experience operating and driving operational excellence and large-scale process improvements through innovative products and instigating behavioral changes.
• Understanding and implementing cutting-edge technology using Agile processes, leading to faster innovation, valuable outcomes, reduced risks, and improved operational efficiency.
• Experience building products on public cloud platforms such as AWS or Google Cloud, leading data engineering and analytics teams with the ability to use data insights for product refinement.
• Demonstrable competency in establishing technology sourcing directions for the product division and providing context for related decisions.
• Profound understanding and knowledge of industry-leading technology/solutions, practices, architectures, and emerging technology trends in big data and machine learning.
• Proficiency in one or more key technologies, including React, Java, Javascript, and NoSQL, showcasing substantial expertise in front-end and back-end architecture & design.