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.
