S
Snowflake
Staff Software Engineer (Apps and Experiences Platform Team)
Skills
Google Cloud PlatformAIAWSKubernetesAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
$200,000 – $287,500 / year
Location:
Menlo Park, CA, USA
Work mode:
Onsite
Published on:
30 August 2026
What they need
- The Apps & Experiences Platform team powers the systems and services behind all of our user-facing applications, including Snowsight, Snowflake Intelligence, and new mobile experiences
- Our mission is to build innovative backend services, developer tooling, platform infrastructure, and AI-powered capabilities that enable exceptional product experiences at scale
- As part of our team, you’ll work across feature development, platform engineering, infrastructure, and internal tooling to support both end users and developers
- We care deeply about building systems that are reliable, scalable, maintainable, and performant
- Snowflake is a high-growth AI Data Cloud company, and we’re looking for exceptional engineers to help us scale the next generation of our platform
- A key part of this is our work on our internal AI developer agent, which is designed to fundamentally democratize end-to-end web app development across all engineering teams by translating product specs and designs into a fully functional, production-ready features
- Design, build, and operate scalable backend services and platform infrastructure that power Snowflake’s user-facing applications
- Contribute across the full development lifecycle, from technical design and implementation to testing, deployment, and operational excellence
- Collaborate closely with engineers, product managers, and cross-functional teams to deliver high-quality features and platform capabilities
- Drive improvements to system reliability, scalability, performance, and developer productivity
- Participate in architecture and design discussions, helping shape technical direction and engineering best practices
- Build and operate cloud-native infrastructure and services running on Kubernetes
- Improve deployment, observability, and operational workflows for services running in containerized environments
- Debug and resolve complex production issues across distributed systems, Kubernetes infrastructure, and platform services
- Build and enhance internal tools, including our coding agent/orchestrator, to create AI-assisted workflows that enable self-serve building of production features end-to-end on the platform through prompts
- Contribute to a strong engineering culture through code reviews, knowledge sharing, mentoring, and operational ownership
Benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program- Experience building and operating services on Kubernetes in production environments
- Experience with cloud platforms such as AWS, Azure, or GCP is a plus
- Experience with distributed systems, APIs, cloud infrastructure, or developer platforms
- Strong understanding of cloud-native architectures, container orchestration, service reliability, and observability
- 6+ years of experience designing and building large-scale distributed or user-facing systems in production environments
- BS/MS/PhD in Computer Science or related fields, or equivalent practical experience
- Strong coding and debugging skills, with the ability to navigate complex system architectures
- Strong software engineering fundamentals and hands-on experience building highly reliable, scalable backend systems
- Strong collaboration and communication skills with the ability to work effectively across teams
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