Engineering Manager (MLOps Platform Team)

Summary Join Guidewire’s Product Development and Operations (PDO) team in Bangalore, where we deliver operational excellence and transformative innovation for the world’s leading P&C insurance software platform. Our mission is to accelerate the adoption of AI, cloud, and data platforms, ensuring our SaaS solutions deliver measurable value, scalability, and efficiency for customers. As an Engineering Manager - ML Platform Engineering, you will lead a high-impact team responsible for building and operating the infrastructure and platforms that enable machine learning at scale across Guidewire products. This role is ideal for a leader with a strong software engineering foundation, experience in cloud-native SaaS systems, and hands-on exposure to ML platforms and MLOps from an infrastructure perspective. You will balance technical leadership and people management, working closely with ML engineers, data scientists, and product teams to deliver reliable, scalable, and cost-efficient ML capabilities. Job Description What You’ll Do Lead, mentor, and grow an ML Platform engineering team supporting multiple teams, fostering a culture of ownership, quality, and technical excellence Own the design, architecture, and evolution of ML platforms , covering the full ML lifecycle: training pipelines, deployment, monitoring, and CI/CD for ML Drive platform capabilities that enable ML teams to operate efficiently at scale, focusing on reliability, performance, security, and cost optimization Provide strong technical direction through architecture reviews, design discussions, and hands-on technical guidance Partner closely with ML engineers, data scientists, product managers, and cloud teams to translate ML requirements into robust platform solutions Champion best practices in MLOps, cloud-native development, and Kubernetes-based infrastructure Balance people leadership (hiring, performance management, career development) with technical accountability Contribute to cross-team initiatives that embed AI, automation, and data-driven practices into Guidewire’s product ecosystem What You’ll Bring Required : 12 - 15 years of overall software engineering experience, preferably in cloud-based or SaaS product companies 3 - 4+ years of recent experience in an Engineering Manager or Technical Manager role Strong background in backend systems, distributed systems, and platform engineering Proven experience building or supporting ML platforms from an infrastructure / MLOps standpoint (not just model development) Hands-on experience with ML platform and MLOps tools such as: AWS SageMaker Kubeflow MLflow or similar tooling Strong experience with AWS cloud services and Kubernetes-based platforms Solid understanding of end-to-end ML lifecycle management, including model training, deployment, monitoring, and rollback strategies Experience leading engineering teams, driving execution, and delivering results in complex product environments Strong communication, problem-solving, and stakeholder management skills Preferred : Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) Experience working with large-scale enterprise SaaS platforms Exposure to data platforms and streaming technologies Familiarity with GenAI capabilities, automation, and cloud-native best practices Prior experience in regulated or domain-heavy industries (insurance, finance, healthcare) About Guidewire Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire. As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation. For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC. Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.