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Backend Security Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 8h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 14d ago
The date the source published, not the day we noticed it (2026-10-19). Last seen at its source just now.
We have tracked this listing since 19 Oct 2026 (14 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India, United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay, by region:
- North America $154.5k–225k/yr (5,480 listings, all levels)
- Asia $65.8k–165k/yr (50 listings, all levels)
Middle 50% of Engineering listings that do state pay in each region, in the currency most of them state. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 14d ago · last seen just now
The listing
This role is for one of our clients
Pay: 30–100/hour
Job Type: Contractor (~15 hrs a week)
Location: Remote
Schedule: Flexible, you pick the hours and days (including weekends if desired)
Required Skills: Python3, Java, Rust, Algorithms, Basics of C++, TypeScript, Bug fixing, Feature implementation, Codebase refactoring, Performance optimization, Pentesting, Security audit
We are seeking a skilled Backend Security Engineer to contribute to the development and evaluation of next-generation AI systems. In this role, you will use your expertise in backend engineering and application security to create realistic, complex coding tasks that assess AI systems' ability to solve real-world software engineering challenges.
You will design tasks involving backend feature implementation, bug fixes, secure coding, vulnerability remediation, and code quality improvements. You will also develop deterministic verification mechanisms that reliably accept valid solutions meeting the specified requirements and reject incorrect or incomplete implementations.
Prior experience working in AI is not required. Strong backend engineering capabilities, security expertise, and sound technical judgment are the key qualifications for success.
Requirements
Key Responsibilities
- Backend Engineering: Design, develop, modify, and debug backend services, APIs, and application components.
- Security-Focused Task Development: Create challenging coding tasks involving secure software development, vulnerability fixes, authentication, authorization, and backend security controls.
- Automated Verification: Implement deterministic verifiers and automated tests to validate code behavior, functional correctness, and adherence to task requirements.
- Application Security: Identify and address security vulnerabilities using established practices, including OWASP guidelines and Common Weakness Enumeration (CWE) classifications.
- Code Review and Analysis: Review software implementations for correctness, security risks, performance, maintainability, and adherence to engineering standards.
- Debugging and Optimization: Investigate software defects, performance bottlenecks, and complex system failures in large-scale applications.
- Code Refactoring: Improve existing codebases through refactoring, architectural enhancements, and implementation of complex backend features.
- AI Evaluation: Develop high-quality engineering tasks that help evaluate and improve AI systems' software development, debugging, and security reasoning capabilities.
Required Qualifications
- Strong backend development experience using Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar programming languages.
- Proven experience building scalable backend services, APIs, and production-grade applications.
- Strong debugging, automated testing, performance optimization, and code review skills.
- Solid understanding of software architecture, algorithms, data structures, and fundamental computer science concepts.
- Ability to identify software defects, diagnose system bottlenecks, and implement reliable solutions.
- Strong analytical thinking, problem-solving, and technical communication skills.
- Ability to work independently and exercise sound engineering judgment when solving complex technical problems.
Preferred Qualifications
- Professional experience in cybersecurity, application security (AppSec), or Security Operations (SecOps).
- Hands-on experience with penetration testing, vulnerability assessments, and security-focused code reviews.
- Knowledge of secure coding practices, OWASP Top 10, CWE classifications, and common software vulnerabilities.
- Experience identifying and remediating security flaws in backend services, APIs, and large-scale applications.
- Familiarity with security testing, automated validation, and vulnerability remediation workflows.
- Experience refactoring complex codebases and improving application reliability, scalability, and security.
Assessment and Selection Process
Candidates are expected to complete interviews and assessments independently, without outside assistance. The same standard applies to project work, where individual expertise, technical judgment, and problem-solving ability are essential.
The selection process includes:
- Application submission and completion of screening questions.
- An AI interview lasting approximately 30 minutes.
- A technical assessment, if required.
- Hiring manager review.
Compensation Structure
Compensation is output-based, with payment provided for each task that meets the defined project specifications and quality standards. Completion time may vary depending on task complexity, the engineer's experience, and individual workflow.
Minimum submission requirements apply, and selected engineers must submit a specified minimum number of tasks each week.
Start Timeline and Availability
The hiring process typically moves quickly, with positions often filled within 48 hours. Candidates should be ready to begin immediately. Following selection and onboarding, successful candidates are expected to start their first tasks within 24–48 hours.