Staff Software Engineer, Core Infrastructure

What You'll Do

Lead the technical direction for Snap’s Service Infrastructure platform, defining multi-quarter and multi-year roadmaps across areas such as service mesh, compute, observability, and adjacent platform capabilities.

Design, build, and operate foundational backend infrastructure that powers critical services across Snap with a focus on reliability, scalability, performance, and operational excellence.

Act as a hands-on Staff-level tech lead, driving ambiguous and high-impact technical initiatives from concept through architecture, implementation, rollout, and iteration.

Partner closely with engineers and leaders across infrastructure and product teams to align on technical direction, priorities, trade-offs, and long-term platform investments.

Improve the developer and operator experience for teams building on Snap’s backend platform by creating durable systems, abstractions, and mechanisms that raise engineering velocity and quality at scale.

Drive best practices in service reliability, observability, incident response, system performance, and cost efficiency across mission-critical infrastructure.

Mentor and uplevel other engineers, provide technical leadership across team boundaries, and help resolve complex technical conflicts to move the organization forward.

Help shape how Snap’s infrastructure evolves for an AI-first future, including identifying opportunities where AI can improve platform quality, developer productivity, or operational workflows in a responsible and scalable way.

Knowledge, Skills & Abilities

• Deep experience designing, building, and operating backend services or distributed systems at significant scale.
• Strong technical leadership skills, with the ability to set vision, ideate high-impact projects, and translate strategy into executable roadmaps.
• Prominent ability to lead complex, cross-functional initiatives over multiple quarters while balancing architectural quality, reliability, and delivery velocity.
• Strong foundation in system design, including APIs, service architecture, compute platforms, storage concepts, observability, and workflow orchestration.
• Proven ability to own highly available, mission-critical systems, including operational readiness, incident response, and systemic improvements.
• Strong judgment in making technical trade-offs and prioritizing the right long-term platform investments for a large engineering organization.
• Excellent collaboration and communication skills, with the ability to influence engineers and leaders across Senior Manager- or Director-level organizations.
• Ability to mentor, unblock, and elevate other engineers while creating structures and mechanisms that make teams more effective over time.
• Comfort operating in ambiguity and driving clarity in technically complex problem spaces.
• Familiarity with responsible use of emerging AI technologies to improve engineering quality, alignment, and innovation at scale.

Minimum Qualifications

• 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 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.

Preferred Qualifications

• 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.
• Experience driving long-term technical strategy for a platform or infrastructure area.
• Track record of delivering large-scale, high-impact technical work across team boundaries.
• Experience applying AI to infrastructure, developer tooling, platform quality, or engineering productivity is a plus.