ApplySarthi

App Security Expert

Jobgether

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3,686 open security roles across 504 companies are on ApplySarthi right now, most of them in Bengaluru (122), Hyderabad (25), Pune (19).

What security roles keep asking for: AWS (31%), Python (29%), CI/CD (15%), IAM (15%), SIEM (14%), Azure (13%), GCP (13%), LLMs (12%) — counted across their open postings here.

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Interviews for security roles keep coming back to AWS, Python, CI/CD, IAM. Practise those questions before you sit with Jobgether.

Questions you are likely to be asked

  1. Why do you want to join Jobgether?
  2. What is your experience with LLMs? Tell me one thing you learned the hard way.
  3. How do you keep secrets and access safe in your infrastructure?
  4. Walk me through how code gets from a commit to production where you work.
  5. Tell me about an outage you handled. What did you learn from it?

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Accountabilities: Design and implement purpose-built application fixtures containing representative security vulnerabilities or secure implementations, with a focus on OWASP risks affecting large language model applications. Develop realistic test scenarios addressing critical LLM security concerns, including sensitive information disclosure, excessive agency, and related application security weaknesses. Create deterministic test cases and comprehensive security-context manifests to evaluate application security posture consistently and reliably. Develop detailed reference solutions and hidden answer keys that enable accurate evaluation of vulnerable versus secure code by AI systems and security scanners. Assess and refine testing pipelines, ensuring synthetic security tasks are realistic, technically challenging, reproducible, and suitable for application security evaluation. Build, inspect, and secure application codebases, identifying advanced vulnerabilities and implementing appropriate remediation strategies. Contribute to the design and evaluation of security architectures for traditional applications and agent-based systems. Apply knowledge of AI-powered static application security testing (AI-SAST) and LLM security to improve automated vulnerability detection and assessment methodologies. Document technical findings, testing approaches, security insights, and remediation recommendations in clear, precise, and actionable formats. Collaborate with distributed teams through effective written and verbal communication, providing constructive feedback and reviewing peers' technical contributions. Support the continuous improvement of security evaluation pipelines by identifying weaknesses, proposing enhancements, and validating new testing approaches. Requirements Extensive experience in application security, secure software development, cybersecurity engineering, or a related field, ideally with at least 5 years of relevant professional experience. Strong understanding of application security principles, secure coding practices, vulnerability assessment, and remediation techniques. Familiarity with OSWE-level application security concepts, advanced vulnerability research, and practical security testing methodologies. Solid knowledge of large language model security, including common LLM vulnerabilities, prompt-related attack vectors, sensitive information disclosure, and excessive agency. Experience with AI-powered static application security testing (AI-SAST), automated code analysis, or AI-assisted security evaluation. Proven ability to design, implement, secure, and test application codebases, including identifying complex vulnerabilities and validating secure implementations. Experience designing or evaluating security architectures for traditional software applications and agent-based systems. Strong analytical and problem-solving skills, with the ability to develop realistic security scenarios and distinguish meaningful vulnerabilities from superficial test cases. Familiarity with deterministic testing methodologies, synthetic security fixtures, or structured evaluation frameworks is highly desirable. Excellent technical writing skills, including the ability to document security findings, testing procedures, methodologies, and actionable recommendations with precision. Strong verbal communication and collaboration skills, with the ability to review peer contributions and communicate complex security concepts clearly. Ability to work independently, manage technical tasks effectively, and deliver high-quality contributions in a fully remote environment. A proactive mindset and a commitment to continuous improvement in application security, AI security, and emerging cybersecurity practices. Benefits Competitive hourly compensation: Earn between $40 and $80 per hour, depending on experience and expertise. Fully remote work: Work remotely from anywhere in the world. Long-term contract: Initial 12-month engagement, offering the opportunity to contribute to ongoing security evaluation initiatives. Full-time commitment: Approximately 40 hours per week for consistent involvement in project delivery. Flexible independent engagement: Work as a freelancer or independent contractor. Immediate availability: The project is scheduled to begin as soon as possible. Cutting-edge technical challenges: Work on application security, LLM vulnerabilities, AI-powered security analysis, and agent-based architectures. Meaningful technical impact: Help improve the reliability and effectiveness of security testing methodologies and automated vulnerability evaluation. Collaborative remote environment: Share expertise, exchange technical feedback, and contribute to continuous improvements alongside other security professionals.

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Listed on lever · posted 2026-10-22. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.