
11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
🔥 18 minutes ago
🌐 India, United States – Remote
💵 $30 - $100 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
👮♂️ Cybersecurity / Security Engineer
👻 Ghost score 20%
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
• Design, develop, modify, and debug backend services, APIs, and application components • Create challenging coding tasks involving secure software development, vulnerability fixes, authentication, authorization, and backend security controls • Implement deterministic verifiers and automated tests to validate code behavior, functional correctness, and task requirements • Identify and address security vulnerabilities using OWASP guidelines and Common Weakness Enumeration (CWE) classifications • Review software implementations for correctness, security risks, performance, maintainability, and engineering standards • Investigate software defects, performance bottlenecks, and complex system failures in large-scale applications • Improve existing codebases through refactoring, architectural enhancements, and complex backend feature implementation • Develop engineering tasks to evaluate and improve AI systems' software development, debugging, and security reasoning capabilities • Complete application screening, an approximately 30-minute AI interview, a technical assessment if required, and hiring manager review • Submit the required minimum number of tasks each week and start first tasks within 24–48 hours after selection and onboarding
• 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 • Professional experience in cybersecurity, application security (AppSec), or Security Operations (SecOps) preferred • Hands-on experience with penetration testing, vulnerability assessments, and security-focused code reviews preferred • Knowledge of secure coding practices, OWASP Top 10, CWE classifications, and common software vulnerabilities preferred • Experience identifying and remediating security flaws in backend services, APIs, and large-scale applications preferred • Familiarity with security testing, automated validation, and vulnerability remediation workflows preferred • Experience refactoring complex codebases and improving application reliability, scalability, and security preferred • Candidates must complete interviews and assessments independently, without outside assistance • Candidates should be ready to begin immediately • Selected engineers must submit a specified minimum number of tasks each week
• Flexible schedule; choose hours and days, including weekends if desired • Output-based compensation, with payment for each task meeting project specifications and quality standards • Opportunity to contribute to next-generation AI systems • Fast hiring process, often filled within 48 hours • Ability to begin immediately; first tasks expected within 24–48 hours after selection and onboarding
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