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

Senior Software Engineer

Location: Bangalore, India · In-office · Hybrid Experience: 6–8 years

About the Role

We're hiring a Senior Software Engineer to own significant pieces of our product and platform end-to-end. You'll lead the design and delivery of complex systems, raise the engineering bar through reviews and mentorship, and partner across functions to ship reliable software at scale. This is a high-ownership role for an engineer who combines strong distributed-systems depth with sound design judgment and an AI-forward mindset.

What You'll Do

• Own end-to-end delivery of features and services — from design through production operation.

• Design scalable, reliable distributed systems and drive key technical decisions.

• Debug and resolve production issues; improve reliability and performance.

• Raise code quality and design standards through thorough, constructive reviews.

• Mentor junior engineers and contribute to a strong engineering culture.

• Collaborate cross-functionally with product, design, and other teams.

What We're Looking For

• 6–8 years of software engineering experience, ideally at scalable product companies.

• Proven ownership: end-to-end delivery, production debugging, and mentoring more junior engineers.

• Strong distributed systems and cloud engineering skills (AWS, GCP, or Azure).

• Solid code quality, testing, and design practices.

• A track record with measurable scale, reliability improvements, and architecture participation.

• Strong cross-functional collaboration and clear communication.

• 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

• Microservices / platform engineering experience.

• AI/LLM platform integrations.

We are an equal-opportunity employer. We evaluate candidates on demonstrated skills and impact and welcome applicants from all backgrounds.

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

Responsibilities

• Own end-to-end delivery of features and services — from design through production operation.
• Design scalable, reliable distributed systems and drive key technical decisions.
• Debug and resolve production issues; improve reliability and performance.
• Raise code quality and design standards through thorough, constructive reviews.
• Mentor junior engineers and contribute to a strong engineering culture.
• Collaborate cross-functionally with product, design, and other teams.

Requirements

• 6–8 years of software engineering experience, ideally at scalable product companies.
• Proven ownership: end-to-end delivery, production debugging, and mentoring more junior engineers.
• Strong distributed systems and cloud engineering skills (AWS, GCP, or Azure).
• Solid code quality, testing, and design practices.
• A track record with measurable scale, reliability improvements, and architecture participation.
• Strong cross-functional collaboration and clear communication.

Preferred Qualifications

• Microservices / platform engineering experience.
• AI/LLM platform integrations.
• A degree in Computer Science, IT, or a related engineering field.