Staff Software Engineer, Infra & Large-Scale Experiments

Google LLC; Cambridge (MA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google's Share Staff Software Engineer, Infrastructure in Cambridge, MA, leads critical backend systems at scale, partnering with teams across ad serving, privacy, and data platforms. You will influence architectural direction and design low-latency services for billions of daily impressions.

The role requires a Bachelor's degree, 3 years in technical leadership, and experience with large-scale experimentation, telemetry, and distributed systems.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience in a technical leadership role; overseeing projects.

Responsibilities

• Act as a technical authority and team multiplier across engineering groups—influencing multi-year architectural roadmaps, system boundaries, and API contracts across client tagging, ad serving, and privacy infrastructure.
• Reduce complexity in critical codebases by designing clean abstractions, safe guardrails, and AI workflows that accelerate team velocity and reliability.
• Design rigorous A/B experiments and high-volume telemetry pipelines to validate performance, latency, and monetization across billions of daily impressions.
• Provide technical leadership to Cambridge-based engineers by breaking down complex problems, elevating design/code reviews, and coaching them into senior roles.

Skills

Technical leadership

A/B testing

Causal inference

Telemetry analysis

Distributed systems

Education

Bachelor's degree

Job description

Google's Share Staff Software Engineer, Infrastructure in Cambridge, MA, leads critical backend systems at scale, partnering with teams across ad serving, privacy, and data platforms. You will influence architectural direction and design low-latency services for billions of daily impressions.

The role requires a Bachelor's degree, 3 years in technical leadership, and experience with large-scale experimentation, telemetry, and distributed systems.