Staff Security Engineer
What you need
Tech
Experience
- 8+ yrs production software systems
- 8+ yrs security engineering
What you'll do
- Architect security platforms and systems
- Design secure-by-default paved paths
- Lead cross-team security initiatives
- Build security automation tooling
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.
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.
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.
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About Turing.com
Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Turing’s talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Turing—based in San Francisco, California—was named #1 on The Information’s annual list of “Top 50 Most Promising B2B Companies,” and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.
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