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Lead Software Engineer - Cloud Data Platform - San Mateo, CA

  • Department Product Development
  • Location San Mateo, CA
Guidewire is widely recognized as the leading provider of software solutions for the P&C Insurance industry and is actively working to extend its market leadership by delivering the next generation of cloud solutions to solve key challenges our customers face. 

We are looking for a proven cloud data platform leader to join our world-class leadership team as Technology Lead Cloud Data Platform.  Reporting directly to Senior Director of  Engineering- Data & Analytics, you will drive the Guidewire approach for building large scale multi-tenant cloud native data platforms and define strategy and execution road-map.

Are you passionate about building large scale multi-tenant cloud native data platforms? Do you have prior experience in building data platform / data lake and analytics SaaS services in public cloud? Do you have expertise in modern Big Data stack (Kafka, Hadoop, Spark, Flink, Hive ..), Java and/or Scala Come join our Data platform and Analytics team. This team owns, builds, and operates Guidewire’s cloud native data platform and analytics SaaS offerings. Guidewire’s data platform is targeted to be best-in-class in enabling our customers with mission critical insights and decision-making capabilities. The platform is designed to support all of our analytics, data science, and data applications. You will work in a highly collaborative environment building next generation platform and services.

Required Skills

  • Experience leading a team of engineers
  • Extensive experience with Big Data and distributed systems.
  • Excellent programming skills in Java and/or Scala
  • Engineering management skills
  • Proven ability to have led an engineering team
  • Experience with stream processing using Spark or Flink
  • Prior experience of building data platforms using Big Data stack (Kafka, Hadoop, Spark, Flink, Hive ..) on public cloud
  • Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms)
  • System design skills. Ability to design large scale distributed systems
  • Deep understanding of Algorithms, Data Structures, and Performance Optimization Techniques
  • Eager to learn new things and passionate about technology
  • Comfortable working with Kubernetes, AWS, Docker, and Terraform.

What you would do

  • Design, develop and run cloud native data platform and analytics SaaS services
  • Lead an engineering team in an agile fast paced environment
  • Hands-on coding >60% of the time
  • Design and build large scale real-time stream processing systems
  • Design, develop and run micro-services and analytics SaaS solutions
  • Do test driven unit and end to end testing of any code you develop.
  • Own Continuous Integration (CI) and Continuous Deployment (CD) for your services
  • Own scalability, availability and data security for your services
  • Own, troubleshoot & resolve code defects
  • Mentor other developers in best practices

What you would need to succeed

  • Prior experience and passion for building large scale multi-tenant cloud native data platforms
  • Engineering management skills. Prior experience in leading an engineering team
  • Emphasize team wins over individual success
  • Strong technical communication skills
  • Excellent software development skills in one or more of the following languages: Java/Scala
  • Extensive experience with Big Data and distributed systems. Expertise in Spark or Flink, Kafka and Hadoop ecosystem
  • System design skills. Ability to design large scale distributed systems
  • Have developed in more than one language and ready to pivot to any language/framework
  • Understand REST API for data interchange. Understand API-driven system designing
  • Understand micro services architecture patterns pattern like Service Discovery/API Gateway/Domain Driven Design etc
  • Understand Serverless function and their relevant use
  • Ability to work in an agile fast paced environment
  • BS or MS degree (Computer Science or Math)
  • 5+ years relevant work experience
  • Refer to ‘Required Skills’ section more details

Nice to have

  • AWS (EMR, S3, Glue, Kinesis..)
  • ELK
  • Experience of building SaaS/PaaS on AWS/GCP/Azure..
  • AI/ML

About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.

Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, including 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 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation.

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.

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 (650) 356-4940 or 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, call (650) 356-4940 or 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.
Talent rewards

The perks. The rewards. The good stuff.

We’re proud to shout about our awesome benefits packages. Holistic wellness is a big deal for us. We offer everything you need to support your work and, most importantly, your work-life balance. We’re committed to helping you be the best version of yourself. Inside and outside of work.

FINANCIAL

FINANCIAL

Receive market-competitive pay and incentive programs—because you deserve it! To help future-proof your income, we offer generous support through retirement savings plans.

HEALTH AND WELLNESS

HEALTH AND WELLNESS

Keep your physical and emotional health in tip-top shape with health insurance for you and your family, an employee assistance program, annual wellness reimbursement, and access to wellness resources.

FLEXIBLE WORKING

FLEXIBLE WORKING

Work in an environment where you’ll have the freedom and trust to make an impact, with time for your life outside of work.

DOWNTIME

DOWNTIME

Relax and kick back through our generous paid time-off programs. Make a difference in your community with three volunteer days each year. Take your own personal day of rest with My Day. We also offer 16 weeks of paid leave for all new parents.

CONTINUAL DEVELOPMENT

CONTINUAL DEVELOPMENT

We encourage self-directed learning, giving you every chance to become a better version of yourself, both professionally and personally. At Guidewire, lifelong learning is here for the taking.

CAREER MOBILITY

CAREER MOBILITY

Your career opportunities are only limited by your own imagination. Guidewire’s community is filled with chances to expand your horizons across any of our teams or worldwide‌‌‌‌‌‌‌ locations.