Engineering Manager (MLOps Platform Team)

Summary

Job Description

• 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 Guidewires product ecosystem

• 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
  

• Bachelors 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 and follow us on Twitter: @GuidewirePandC.

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 its applicable to the position.