Staff Software Engineer, Platform Engineering

Overview As Staff Software Engineer on Platform Engineering, you will help build the next generation of AI-powered testing tools and infrastructure for Snapchat’s mobile apps and multi-cloud backend services. You’ll own scalable testing platforms, agent harnesses, and telemetry-driven debugging, shaping how engineers ship reliable software faster. You’ll collaborate across product, DS, ML, design, and engineering teams to turn requirements into robust, observable systems. This role offers a meaningful opportunity to advance testing automation and developer productivity at scale, impacting product quality and deployment velocity. Compensation / Benefitspaid parental leavecomprehensive medical coverageemotional and mental health support programscompensation with RSUsequal opportunity employerflexible acclimation to in-office policy ResponsibilitiesDesign, build, and own agent harnesses and testing infrastructure to enable functional and load testing across mobile apps and multi-cloud servicesDevelop AI-native engineering practices by creating reusable skills, looped/scheduled agents, and automated ops tasksArchitect Temporal-based workflows and services to accelerate bug detection and CI/CD resilienceCreate telemetry and evaluation layers using BigQuery SQL and log data to yield actionable insightsCollaborate with cross-functional teams to align on requirements, trade-offs, and deliver scalable platform solutionsPromote availability, scalability, and cost-efficient operational excellence across the platform Key requirementsExperience designing, building, and operating backend or distributed systems at scaleProven track record in ownership of mission-critical systems, including on-call and incident responseAbility to set technical vision and lead cross-functional initiatives over multiple quartersStrong system design foundations (APIs, data models, storage, pub/sub, queues, workflow orchestration) and performance optimizationDeep experience with observability (metrics, logging, tracing, dashboards) and data-driven debugging of large systemsExcellent collaboration and communication skills across Product, DS, ML, Design, and Engineering teamsAbility to mentor and uplevel engineers with clear technical guidancecollaborationcommunicationmentorshipAI-powered testing tools and infrastructureAgent harnesses, prompt engineering, context management, output evaluationTemporal-based workflows and services