Software Engineering Manager, Cloud Observability

Google•Pittsburgh, PA

4d•$207,000 - $300,000

About The Position

Google is hiring a Software Engineering Manager to provide technical leadership on major projects while managing and developing a team of engineers. The role includes managing project goals, contributing to product strategy, and helping engineers deliver optimized code. Teams work across areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, and user interface design. The manager will lead engineers across multiple teams and locations, oversee a large product budget, and direct the deployment of large-scale projects across multiple international sites. The position focuses on Cloud Observability at Google Cloud, which provides enterprise-grade solutions built on Google technology to help organizations transform their businesses.

Requirements

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
3 years of experience in a technical leadership role.
3 years of experience building or leading teams developing large-scale infrastructure or distributed systems.
2 years of experience in a people management or team leadership role.

Nice To Haves

Master's degree or PhD in Computer Science or a related technical field.
3 years of experience working in a complex, matrixed organization.
Experience with observability applications and infrastructure.
Experience with OTLP or OTel.

Responsibilities

Set and communicate team priorities that support broader organizational goals, and align strategy, processes, and decision-making across teams.
Set clear expectations for individuals based on their level and role, aligned with organizational goals; meet regularly to discuss performance and development and provide feedback and coaching.
Develop the mid-term technical goals and roadmap for one or more teams, evolving the roadmap to meet anticipated future requirements and infrastructure needs.
Design, guide, and vet systems designs within the broader area, and write product or system development code to solve ambiguous problems.
Review code developed by other engineers and provide feedback to ensure best practices, including style guidelines, checking code in, accuracy, testability, and efficiency.