Overview:
Location: Hyderabad, India
Travel: 15-20% domestic and international travel to the US
Manages Others: 3-5 Team Leads
Education: Bachelors Degree in Computer Science or Engineering required, Masters Degree preferred
Experience: Proven experience in Cross-Functional Global Leadership and establishing strategic partnerships to drive business and technical outcomes, expertise in AI/ML/Computer Vision, working with large-scale data, and building robust ML Ops pipelines.
THE OPPORTUNITY:
As the VP of Software Engineering, you will lead a dynamic, multidisciplinary team of over 50 professionals, including Software Engineers, DevSecOps, ML/AIOps experts, and Architecture teams. Your leadership will drive the development of innovative, AI-first, and cloud-native solutions, ensuring scalability, efficiency, and high performance in a rapidly evolving technology landscape. Responsibilities: * Strategic Leadership
o Provide visionary leadership for a large, distributed team, fostering a culture of innovation, collaboration, and continuous improvement
o Cultivate a high-performing team by mentoring, coaching, and inspiring engineers and technical leaders
o Champion a culture of productivity, efficiency, and operational excellence. * Technical Execution
o Oversee the design, development, and maintenance of a scalable, AI-first, cloud-native Computer Vision platform
o Analyze complex technical and business problems, breaking them down into actionable, achievable solutions
o Lead the refactoring and migration of legacy systems to a microservices-based architecture.
o Continuously optimize platform performance, scalability, reliability, and availability. * Collaboration and Innovation
o Collaborate with cross-functional teams, including Product, Data Science, and Customer Success, to define and deliver impactful features
o Participate in code reviews, foster knowledge sharing, and promote technical excellence
o Stay ahead of emerging technologies and industry trends to ensure the platform remains cutting-edge. * Operational Excellence
o Build and scale DevSecOps practices to ensure secure, reliable, and efficient delivery pipelines
o Drive AIOps adoption to enhance monitoring, automation, and incident management
o Establish metrics to monitor team performance, platform health, and development velocity, and take corrective actions where needed. * Cultural Development
o Build an inclusive, engaging, and empowering environment that attracts and retains top engineering talent.
o Foster an innovation-first culture that embraces calculated risks and rewards creativity.
Qualifications:
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