Staff Software Engineer
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Before you apply
Salary$160k – $277k
LocationUnited States - San Mateo, CA
Work modehybrid
Typefull-time
SeniorityLead
Experience12+ yrs
Company size1,001–5,000 people
PostedOct 8, 2026 · 4w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
12+ years of software engineering experience
Deep expertise in Java
Strong proficiency in designing and building large-scale distributed systems, microservices, and API-driven architectures
Strong understanding of distributed systems principles
Hands-on experience with Kubernetes, AWS or another public cloud, Docker, infrastructure-as-code tools such as Terraform or CloudFormation, and modern CI/CD practices
Experience designing, developing, and operating microservices, cloud-native services, automation frameworks, and production-grade platform components
Strong knowledge of algorithms, data structures, performance optimization, concurrency, and system-level tradeoffs
Experience building or integrating data platforms, machine learning platforms, or large-scale data processing systems
Demonstrated ability to embrace AI, apply AI-assisted engineering practices, and use data-driven insights
Excellent technical communication skills
Proven ability to mentor engineers, lead technical direction, promote engineering excellence, and operate with humility, ownership, and a team-first mindset
Experience with Large Language Models, Retrieval-Augmented Generation, vector databases, AI agents, agentic workflows, or Model Context Protocol
Proficiency in additional languages such as JavaScript, TypeScript, Python, or Go
Experience building SaaS, PaaS, or developer platforms on AWS, GCP, or Azure
Experience with TeamCity-based CI/CD pipelines, Argo Workflows, event-driven architecture, or Kafka-based systems on public cloud
Skills
Java
Kubernetes
AWS
Docker
Terraform
CloudFormation
Kafka
CI/CD
JavaScript
TypeScript
Python
Go
Large Language Models
Retrieval-Augmented Generation
vector databases
AI agents
agentic workflows
Model Context Protocol
TeamCity
Argo Workflows
Benefits
Health insurance
Dental insurance
Vision insurance
Paid time off
Company sponsored retirement plan
Annual bonus plan
Commissions
Long term incentive awards
Summary
Solution Engineering is looking for a Staff Software Engineer to provide technical leadership across cloud-native services and AI-enabled engineering initiatives. This role is ideal for someone who thrives in a hands-on engineering environment, enjoys solving complex distributed systems problems, and can guide multiple teams toward secure, scalable, and reliable solutions.
You will help design, build, and operate multi-tenant SaaS services and platform capabilities that create measurable customer and business value. You will partner closely with engineering, product, architecture, security, and field-facing teams to deliver these solutions.
This is a technical leadership role requiring strong engineering depth, sound architectural judgment, mentorship, and the ability to drive execution in a fast-paced, collaborative environment.
Job Description
What you would do:
•
Provide technical leadership and mentorship across multiple engineering teams, fostering a collaborative, innovative, and customer-centric engineering culture.
•
Design, build, and operate scalable, secure, multi-tenant, cloud-native SaaS services and platform components.
•
Develop microservices, APIs, automation tools, and lifecycle management capabilities for highly available distributed applications and services.
•
Build and operate platform capabilities using modern cloud and data technologies such as AWS, Kubernetes, Docker, Terraform, and Kafka.
•
Drive the adoption of AI, agentic coding tools, GenAI capabilities, and advanced automation to accelerate engineering productivity and platform innovation.
•
Collaborate cross-functionally with product, architecture, security, operations, and solution teams to launch new capabilities aligned with Guidewire’s AI, cloud, and platform priorities.
•
Own technical design, implementation quality, CI/CD pipelines, scalability, availability, observability, service reliability, and data security.
•
Champion proactive security, compliance, operational excellence, and reliability improvements across services and platforms.
•
Lead complex technical initiatives from concept through delivery, including design reviews, implementation guidance, risk management, and production readiness.
•
Support the growth of engineers through coaching, feedback, technical guidance, pair programming, and development opportunities.
What you would need to succeed:
•
12+ years of software engineering experience, ideally with a focus on cloud platforms, data platforms, distributed systems, SaaS, or platform engineering.
•
Deep expertise in Java and strong proficiency in designing and building large-scale distributed systems, microservices, and API-driven architectures.
•
Strong understanding of distributed systems principles, including consistency, availability, durability, reliability, fault tolerance, scalability, and consensus concepts.
•
Hands-on experience with Kubernetes, AWS or another public cloud, Docker, infrastructure-as-code tools such as Terraform or CloudFormation, and modern CI/CD practices.
•
Experience designing, developing, and operating microservices, cloud-native services, automation frameworks, and production-grade platform components.
•
Strong knowledge of algorithms, data structures, performance optimization, concurrency, and system-level tradeoffs.
•
Experience building or integrating data platforms, machine learning platforms, or large-scale data processing systems.
•
Demonstrated ability to embrace AI, apply AI-assisted engineering practices, and use data-driven insights to improve productivity, innovation, and continuous improvement.
•
Excellent technical communication skills, with the ability to explain complex ideas clearly, influence through technical merit, and align stakeholders across teams.
•
Proven ability to mentor engineers, lead technical direction, promote engineering excellence, and operate with humility, ownership, and a team-first mindset.
Nice to have
Bonus
•
Experience with Large Language Models, Retrieval-Augmented Generation, vector databases, AI agents, agentic workflows, or Model Context Protocol.
•
Proficiency in additional languages such as JavaScript, TypeScript, Python, or Go, with a willingness to learn and adapt across technology stacks.
•
Experience building SaaS, PaaS, or developer platforms on AWS, GCP, or Azure.
•
Experience with TeamCity-based CI/CD pipelines, Argo Workflows, event-driven architecture, or Kafka-based systems on public cloud.
Benefits
The US base salary range for this full-time position is $160,000 - $277,000. 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.
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.