2 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and evolve Search’s AI Developer Tools Platform, including evaluation infrastructure and high-fidelity queryset pipelines.
- Provide technical leadership on high-impact projects and drive cross-team technical strategy.
- Architect and integrate autonomous agentic workflows into Search’s software and prompt development lifecycle.
- Influence and coach a distributed team of engineers.
- Own critical platform areas end-to-end, ensuring scalability, reliability, statistical excellence, and low latency.
- Manage project priorities, deadlines, and deliverables while designing, testing, deploying, maintaining, and enhancing software solutions.
Requirements
- Bachelor’s degree or equivalent practical experience.
- Eight years of experience in software development.
- Five years of experience building and developing large-scale infrastructure, distributed systems or networks, or working with compute technologies, storage, or hardware architecture.
- Experience designing, building, and operating large-scale distributed systems focused on scalability, fault tolerance, and reliability.
- Experience scaling distributed systems, data or ML pipelines, or developer platforms using C++, Python, Java, or Kotlin.
- Experience with AI/ML evaluation frameworks, LLM or agentic orchestration, autoraters, prompt optimization, or large-scale experimentation infrastructure.
- Preferred: master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred: three years of experience in a technical leadership role leading project teams and setting technical direction.
- Preferred: three years of experience in a complex, matrixed organization involving cross-functional or cross-business projects.
- Experience with containerization and orchestration frameworks such as Kubernetes and Docker.
- Ability to influence and drive architectural changes across multiple engineering teams, research partners, and cross-functional stakeholders.
- AI fluency and experience building or leveraging generative AI or agentic tools to accelerate software engineering workflows.
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.