Staff Software Engineer, Storage and Caching

Snap Inc.

Staff engineer defining distributed storage, caching, and identity infrastructure strategy at Snap, the technology company behind Snapchat and other digital services. Leading large-scale backend platforms across AWS and GCP.

Posted 9/3/2026full-timeBellevue • California, Washington • 🇺🇸 United StatesLead💰 $229,000 - $343,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining technical direction and strategy for backend infrastructure, with a strong focus on system design, operational readiness, and the integration of AI technologies to enhance platform quality and developer productivity.

Highest-signal resume keywords

Technical LeadershipBackend System DesignCloud Infrastructure (AWS, GCP)Microservices ArchitectureIncident Response

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentSystem DesignAPIsService ArchitectureDistributed SystemsOperational ReadinessIncident ResponseBackend Languages (Go, Java, Python, C++)Service MeshWorkflow Orchestration

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

KubernetesContainerized SystemsDeveloper PlatformsInternal Infrastructure Tooling

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in a Technical FieldPhD in a Related Technical Field

Industry Keywords

Cloud InfrastructureService InfrastructureObservabilityAI TechnologiesHigh-Availability Systems

Tech Stack

Tools & technologies

AWSC++CloudDistributed SystemsGoGoogle Cloud PlatformJavaKubernetesMicroservicesPython

About the role

Key responsibilities & impact

Define the strategy and technical direction for Snap’s Storage, Caching, and Identity infrastructure
Lead technical direction for Snap’s Service Infrastructure platform and define multi-quarter and multi-year roadmaps
Design, build, and operate foundational backend infrastructure across AWS and GCP
Drive high-impact technical initiatives from concept through architecture, implementation, rollout, and iteration
Partner with infrastructure and product engineering teams on technical direction, priorities, trade-offs, and platform investments
Improve developer and operator experience through durable systems, abstractions, and mechanisms
Drive best practices in reliability, observability, incident response, system performance, and cost efficiency
Mentor and uplevel engineers and provide technical leadership across team boundaries
Identify responsible opportunities for AI to improve platform quality, developer productivity, and operational workflows

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience
9+ years of software development experience; or a Master’s degree in a technical field and 8+ years of software development experience; or a PhD in a related technical field and 5+ years of software development experience
Experience as a technical lead, domain expert, or owner of complex technical initiatives
Experience building and operating backend systems or distributed systems in production environments
Experience leading architecture or platform direction beyond an individual team, with demonstrated influence across stakeholders and partner teams
Deep experience designing, building, and operating backend services or distributed systems at significant scale
Strong foundation in system design, including APIs, service architecture, compute platforms, storage concepts, observability, and workflow orchestration
Proven track record of owning highly available, mission-critical systems, including operational readiness, incident response, and systemic improvements
Experience with service infrastructure domains such as service mesh, compute platforms, observability, or related backend platform systems
Experience with large-scale microservices, cloud infrastructure, storage systems, or platform architecture
Experience with Go, Java, Python, C++, or similar backend languages
Experience with Kubernetes, containerized systems, developer platforms, or internal infrastructure tooling
Familiarity with responsible use of emerging AI technologies
Ability to work in an office 4+ days per week

Benefits

Comp & perks

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Equity in the form of RSUs