Requirements

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with data structures and algorithms.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience leading projects and designing, analyzing, and troubleshooting distributed systems.

Nice to haves

• Experience working in computing, distributed systems, storage, or networking.
• Ability to debug, optimize code, and automate routine tasks.
• Excellent problem-solving and effective verbal and written communication skills.
• Eagerness to learn and apply new technologies in the rapidly evolving AI/ML space.
• Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
• Interest in understanding root causes and complex system interactions.

What you'll be doing

• Drive the end-to-end reliability, scalability, and performance of large-scale Models and AI workloads on Vertex AI.
• Architect and operate fleet management automation to securely manage, monitor, and upgrade one of the world's largest GCP and GKE environments.
• Optimize low-latency, high-throughput AI serving infrastructure to maximize efficiency, observability, and availability of accelerator resources.
• Partner with development teams on system design, launch reviews, and capacity planning to evolve data and control planes.
• Scale systems sustainably through self-healing software, eliminating toil, and driving architectural changes to enhance deployment velocity and platform resilience.

Perks and benefits

• Competitive compensation including base salary, 20% bonus target, equity, and benefits.
• Opportunity to work on cutting-edge AI and infrastructure technologies at unparalleled scale.
• Collaborative, risk-taking, and blame-free working environment with support and mentorship.
• Commitment to equal opportunity and a culture of belonging.