Job Description

What you’ll do

• Architect, design, and implement high-performance, cloud-native data platform and analytics SaaS services that process billions of real-time data points.

• Lead the development of large-scale, distributed systems using modern big data technologies (Kafka, Hadoop, Spark, Flink, Hive) and Java/Scala.

• Drive the design and build of real-time stream processing systems and microservices, ensuring scalability, reliability, and data security.

• Provide technical leadership and mentorship to multiple teams, fostering a collaborative and innovative engineering culture.

• Own and resolve complex code defects, and champion best practices in software development and system design.

• Collaborate cross-functionally to deliver solutions aligned with Guidewire’s focus on AI, cloud, and data platform adoption.

• Emphasize team wins, strong communication, and agile delivery in a fast-paced environment.

• At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.

Required

• Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.

• 12+ years’ experience in software engineering roles focused on data platforms or data engineering.

• Deep expertise in Java, with proficiency in designing and building large-scale distributed systems.

• Design and development of Machine Learning Platform.

• Strong understanding of distributed systems principles (consistency, availability, durability, reliability, fault-tolerance, consensus algorithms).

• Advanced knowledge of algorithms, data structures, and performance optimization.

• Experience with Kubernetes, AWS, Docker, and infrastructure-as-code tools (Terraform/CloudFormation).

• Proven ability to design and develop microservices and API-driven systems.

• Excellent technical communication and mentoring skills.

• Eagerness to learn new technologies and a passion for innovation.

Preferred

• BS or MS degree in Computer Science, Mathematics, or related field (or equivalent experience).

• Experience building data platforms using the modern Big Data stack (Kafka, Hadoop, Spark, Flink, Hive) on public cloud.

• Familiarity with ELK, Debezium, and building SaaS/PaaS on AWS/GCP/Azure.

• Experience with TeamCity-based CI/CD pipelines.

• Experience developing in multiple programming languages and frameworks.

Your Impact

We believe in clarity and setting you up for success. In your first six months, you’ll lead the hands-on design and implementation of core components for Guidewire’s next-generation data platform, collaborating with cross-functional teams to deliver scalable, secure, and high-performing solutions. Your work will directly support Guidewire’s mission to deliver operational excellence and transformative innovation, accelerating AI, cloud, and data platform adoption for our customers. As you grow in the role, your technical leadership and mentorship will influence the direction of our platform and the success of teams across the organization.

What’s in it for you

The people we employ give their all, and in return, we offer flexibility wherever we can, such as:

• Flexible work environment (hybrid in San Mateo)

• Health and wellness benefits

• Paid time off programs, including volunteer time off

• Market-competitive pay and incentive programs

• Continual development and internal career growth opportunities

• All new hires participate in our in-person orientation process to ensure a strong start and connection to our unique culture.

The US base salary range for this full-time position is $169,000 - $284,000. Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.

Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.