Engineering Leader (Google Cloud)

Location: California, United States of America

Starting base range: $225,000; discretionary bonus may also be available.

Company

Fractal is a strategic AI partner to Fortune 500 companies, building enterprise solutions intended to improve human decision-making.

What you will do

• Define technology roadmaps and lead architecture for data, analytics, AI/ML, and platform engineering initiatives.
• Design scalable and resilient systems using Google Cloud services including BigQuery, Vertex AI, Dataflow, Dataproc, and Cloud Composer.
• Set engineering standards for code quality, testing, governance, architectural consistency, scalability, reliability, maintainability, and cost efficiency.
• Own end-to-end delivery across architecture, engineering, testing, deployment, production support, risk mitigation, and dependency management.
• Lead distributed teams, mentor engineers and technical leads, and coordinate with engineering, product, security, infrastructure, platform, and client stakeholders.
• Advise senior clients through architecture reviews, strategy discussions, and executive presentations, translating complex technical concepts for technical and business audiences.

Requirements

• 10+ years of software engineering, data engineering, or platform engineering experience, including experience with enterprise-scale distributed systems.
• Proven leadership as an Engineering Lead, Technical Lead, Staff Engineer, or Principal Engineer.
• Hands-on expertise with Google Cloud Platform, including BigQuery, Dataflow, Vertex AI, Dataproc, Cloud Composer, GKE, Cloud Run, and serverless technologies.
• Strong proficiency in Python and Go.
• Experience with SQL, PLX, Dremel, Spanner, and distributed data platforms.
• Experience with CI/CD pipelines, infrastructure as code, containerization, Kubernetes, automated testing, and MLOps platforms.
• Ability to convert ambiguous business problems into executable technical solutions, create engineering roadmaps, manage dependencies, and drive stakeholder alignment.
• Experience with reliability engineering, production monitoring, distributed tracing, service health management, and engineering quality practices.

Nice to have

• Prior Google engineering experience or substantial experience with Google's internal First-Party engineering ecosystem.
• Experience with Borg, Boq, Pods, Spanner, Colossus, Placer, google3, CitC, Blaze, BUILD files, Critique, Readability, Monarch, Dapper, and related internal tooling.
• Experience with Google's internal AI development tooling, JetSki, or modern GenAI-assisted software development workflows.

Culture & Benefits

• Full-time employment with health, dental, vision, life insurance, and disability plans starting on the first day of employment.
• Eligibility for the company 401(k) plan after 30 days of employment.
• 11 paid holidays and 12 weeks of parental leave.
• Free-time PTO policy covering vacation and sick time.
• Work in a culture focused on technical excellence, learning, innovation, customer focus, and diversity.