Paid Study: Full-Stack Development and Cybersecurity Practices
Job Description
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We're running a paid study on the intersection of full-stack development and cybersecurity practices. Our goal is to understand how engineering teams balance feature development with robust vulnerability verification. This research will help refine tooling and processes for secure application deployment.
You will participate in a remote technical interview to discuss your recent development projects. We will ask you to walk through your approach to managing CI/CD pipelines and integrating security checks. You will react to a few hypothetical deployment scenarios and explain how you verify vulnerabilities. The conversation will focus on your day-to-day workflow and technical decision-making process.
We welcome full-stack engineers, application security engineers, and DevOps professionals with a strong cybersecurity background. You should have hands-on experience owning application features and securing deployment pipelines. Candidates who regularly perform vulnerability verification in production environments are an ideal fit for this conversation.
What You'll Do
- Walk us through your process for integrating security into CI/CD pipelines
- Describe how you handle vulnerability verification during feature development
- React to technical scenarios involving application security threats
- Discuss your day-to-day workflow for balancing feature velocity with security requirements
Who Should Apply
- Active full-stack engineer or application security professional
- Strong background in cybersecurity and threat management
- Hands-on experience managing and securing CI/CD pipelines
- Familiarity with vulnerability verification processes in production
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Terac
View Company ProfileTerac is an elite, enterprise-grade AI-native market research and expert data orchestration platform engineered to operate as the definitive, high-velocity infrastructure layer connecting frontier AI models and enterprise product teams with on-demand human expertise. Operating as a mission-critical "intelligence infrastructure layer" for the modern data economy, the company eliminates the severe operational friction of traditional qualitative researchâwhich frequently suffers from slow participant sourcing, manual scheduling bottlenecks, and multi-week analysis cyclesâby deploying automated, voice-based AI agents capable of conducting natural, personalized interviews with hundreds of participants simultaneously. Moving far beyond rigid legacy survey tools, Terac serves a dual purpose: it acts as a scalable consumer insights engine for product teams and a highly vetted marketplace for the human data economy, allowing frontier AI labs and research institutions to instantly tap into specialized, high-stakes human judgment for model evaluation and RLHF. Under the hood, their sophisticated proprietary validation infrastructureâbacked by top-tier venture capitalânatively handles automated participant recruitment, strict quality-control vetting, smart routing, multi-region payouts, and immediate programmatic synthesis of unstructured conversation into structured, actionable data graphs. What sets Terac apart is its uncompromising dedication to shifting how humans and AI collaborate at scale; by bridging the gap between performance-intensive, data-hungry enterprise workflows and accessible, flexible expert panels, the firm enables global technology organizations to radically accelerate their product-market loops, eliminate data engineering bottlenecks, and build an unassailable foundation for continuous model and product alignment.
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