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.
Compensation: $245,000 annually
We're looking for a Staff Security Engineer to design and build the systems that keep our company and customers secure. This is a hands-on, builder-focused role: you'll spend most of your time architecting and shipping security infrastructure — detection pipelines, identity and access systems, secrets management, automated guardrails, and the tooling that lets every engineer ship safely by default.
As a Staff engineer, you'll set the technical direction for how we build security systems, mentor engineers across the security organization, and act as a force multiplier — turning recurring manual security work into durable, self-serve platforms. You care as much about developer experience and reliability as you do about threat models, because security systems only work when people actually use them.
What you'll do
- Architect, build, and operate core security systems and platforms: detection and response pipelines, authorization and identity infrastructure, secrets management, key management, and policy-as-code frameworks.
- Design "secure by default" paved paths so that the easiest way for engineers to build something is also the safest way.
- Lead the technical design for large, ambiguous, cross-team security initiatives — writing design docs, weighing trade-offs, and driving alignment across engineering.
- Build automation and tooling that scales security coverage without scaling headcount: automated vulnerability triage, guardrails in CI/CD, drift detection, and self-service remediation.
- Instrument and improve the observability of security-relevant events across the stack so detections are high-signal and actionable.
- Partner with product and infrastructure teams to embed security controls into the systems they're building, rather than bolting them on afterward.
- Set and raise engineering standards for the security organization: code quality, reliability, testing, on-call practices, and operational excellence.
- Mentor and grow engineers, and serve as a technical leader and trusted advisor across the broader engineering org.
- Respond to and help lead remediation during security incidents, then build the systems that prevent the next one.
- Significant experience (typically 8+ years) building and operating production software systems, with a substantial portion focused on security engineering or security-critical infrastructure.
- Deep hands-on engineering ability. You're a strong software engineer first — comfortable owning services end to end in a language like Go, Rust, Python, or Java — and you apply that skill to security problems.
- Proven track record of designing and shipping security systems or platforms that other engineers depend on (e.g., authz/authn systems, detection platforms, secrets/key management, security tooling, or infrastructure guardrails).
- Solid grounding in security fundamentals: threat modeling, cryptography basics, identity and access management, network security, and common classes of vulnerabilities and how to systematically eliminate them.
- Experience operating in modern cloud and infrastructure environments (AWS, GCP, or Azure), including containers, Kubernetes, and infrastructure-as-code.
- Ability to lead ambiguous, cross-team technical projects and influence without authority.
- Strong written and verbal communication — you can write a clear design doc and explain a nuanced trade-off to both security specialists and general engineers.
- Experience with detection engineering, SIEM/data pipelines, or large-scale log analysis.
- Familiarity with policy-as-code tooling (e.g., OPA), supply-chain security, or SLSA-style build integrity.
- Contributions to open-source security tooling, or published research, talks, or writing on security engineering.
- Prior experience as a technical lead or Staff+ engineer in a security or platform organization.
- 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.
- 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
- Typically 8+ years building and operating production software systems, with substantial experience in security engineering or security-critical infrastructure
- Strong software engineering ability and experience owning services end to end in Go, Rust, Python, or Java
- Experience designing and shipping security systems or platforms such as authentication and authorization systems, detection platforms, secrets or key management, security tooling, or infrastructure guardrails
- Knowledge of threat modeling, cryptography fundamentals, identity and access management, network security, and common vulnerability classes
- Experience with AWS, GCP, or Azure, including containers, Kubernetes, and infrastructure as code
- Ability to lead ambiguous, cross-team technical projects and influence without authority
- Strong written and verbal communication skills, including design documentation and explaining technical trade-offs
- Experience with detection engineering, SIEM or data pipelines, or large-scale log analysis
- Familiarity with policy-as-code tooling such as OPA, supply-chain security, or SLSA-style build integrity
- Contributions to open-source security tooling or published security research, talks, or writing
- Prior experience as a technical lead or Staff-level engineer in a security or platform organization
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.
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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.
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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.
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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
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.
