Staff Software Engineer

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

Staff Engineer

Location: Bangalore, India · In-office · Hybrid Experience: 8–12 years

About the Role

We're looking for a Staff Engineer to set technical direction across multiple services and teams. You'll be a force multiplier — driving architecture, raising engineering standards, leading complex cross-team initiatives, and mentoring senior engineers. This is a senior IC role for a deeply technical engineer who shapes how the organization builds software and whose design judgment others adopt.

What You'll Do

• Drive architecture and technical direction across multiple services and teams.

• Lead complex, cross-cutting initiatives — migrations, modernization, and platform/system evolution.

• Own reliability and performance at scale; make high-leverage engineering decisions and tradeoffs.

• Raise engineering standards through design docs, standards, and reviews that others adopt.

• Mentor senior engineers and influence technical strategy beyond a single team.

• Partner with engineering leadership and cross-functional stakeholders on technical roadmaps.

What We're Looking For

• 8–12 years of software engineering experience with a track record of technical leadership.

• Experience driving architecture and technical direction across multiple services or teams.

• Cross-team influence: platform/system evolution and raising engineering standards.

• Deep distributed systems and cloud-native architecture expertise; strong engineering judgment.

• Demonstrated impact on multi-team technical direction, migrations/modernization, and reliability/performance.

• A history of mentoring senior engineers and producing standards and design docs that others adopt.

• A degree in Computer Science, IT, or a related engineering field is preferred but not required — we weight work outcomes most heavily.

Nice to Have

• AI platform architecture experience.

• Agentic systems / LLM infrastructure experience.

Values

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We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.

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We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection

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We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

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Responsibilities

• Drive architecture and technical direction across multiple services and teams.
• Lead complex, cross-cutting initiatives — migrations, modernization, and platform/system evolution.
• Own reliability and performance at scale; make high-leverage engineering decisions and tradeoffs.
• Raise engineering standards through design docs, standards, and reviews that others adopt.
• Mentor senior engineers and influence technical strategy beyond a single team.
• Partner with engineering leadership and cross-functional stakeholders on technical roadmaps.

Requirements

• 8–12 years of software engineering experience with a track record of technical leadership.
• Experience driving architecture and technical direction across multiple services or teams.
• Cross-team influence: platform/system evolution and raising engineering standards.
• Deep distributed systems and cloud-native architecture expertise; strong engineering judgment.
• Demonstrated impact on multi-team technical direction, migrations/modernization, and reliability/performance.
• A history of mentoring senior engineers and producing standards and design docs that others adopt.

Preferred Qualifications

• AI platform architecture experience.
• Agentic systems / LLM infrastructure experience.
• A degree in Computer Science, IT, or a related engineering field.