Staff Software Engineer

Reposted One Month Ago
Be an Early Applicant
Hiring Remotely in India
Remote
Senior level
Artificial Intelligence • Software
The Role
Set technical direction across multiple services and teams; lead cross-cutting initiatives like migrations and modernization; own reliability and performance at scale; raise engineering standards through design docs and reviews; mentor senior engineers and partner with leadership on technical roadmaps.
Summary Generated by Built In
About Turing

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. 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
  • 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.
  • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
  • 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
  • Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
  • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
  • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
  • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
  • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.


Skills Required

  • 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 on platform/system evolution and raising engineering standards
  • Deep distributed systems and cloud-native architecture expertise and strong engineering judgment
  • Demonstrated impact on multi-team technical direction, migrations/modernization, and reliability/performance
  • History of mentoring senior engineers and producing standards and design docs
  • Degree in Computer Science, IT, or a related engineering field
  • AI platform architecture experience
  • Agentic systems / LLM infrastructure experience

Turing Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Turing and has not been reviewed or approved by Turing.

  • Fair & Transparent Compensation Feedback suggests USD-denominated pay and access to higher-paying clients can outpace local benchmarks for many non‑U.S. developers. Payout timing and processing are described as predictable once engagements begin, which supports confidence in earnings.
  • Wellbeing & Lifestyle Benefits Feedback suggests remote‑first work with flexible hours is a consistent positive that enhances day‑to‑day balance. The ability to work from anywhere and maintain autonomy is frequently highlighted as part of the overall rewards experience.
  • Healthcare Strength Feedback suggests some U.S. corporate roles include comprehensive health benefits, with individual accounts referencing employer‑covered medical insurance. These signals indicate stronger healthcare support for certain employee populations.

Turing Insights

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The Company
HQ: Palo Alto, CA
1,401 Employees
Year Founded: 2018

What We Do

We now live in a remote-first world and every company is in a race to find the best remote engineers. There are so many amazing engineers all over the world. Turing’s mission is to help unleash the world’s untapped human potential. More than 300 companies, including those backed by Google Ventures, Bloomberg, Andreessen, Founders Fund, and Kleiner are already using Turing to spin up their engineering dream teams. Turing’s hiring platform combines the planetary reach and AI to deliver your ideal engineers in order to help you spin up your engineering dream team. Our deep matching intelligence finds the best Turing developers across 100+ skills like React, Node, Python, Golang, Angular, Swift, Java, and many more. As part of our rigorous vetting process, we also review software engineers’ technical abilities, English skills, and remote working capabilities. Turing ensures time zone overlap, transparency, and reliable communication in order to make remote development easy for you after the match. The Turing team has deep expertise in AI and building engineering dream teams in the U.S. at top companies. Turing company is backed by well-known investors like Facebook’s initial CTO (Adam D’Angelo), executives from Google, Facebook, Amazon, Twitter, Founders Fund (investors in Facebook, Tesla, Asana, etc). Turing.com is led by serial A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan, their last A.I. firm leveraged remote talent and had a successful acquisition.

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