Lead Security Engineer
J
JobgetherCybersecurity AI Technology
Based in IndiaFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonGCPJavascriptKubernetesGoTerraform
Requirements
- 8+ years of experience in cybersecurity, with strong expertise in application security and engineering-focused security initiatives.
- Proven experience securing web, mobile, and API environments, including OWASP standards and authentication technologies such as OAuth 2.0, OIDC, JWT, and SAML.
- Hands-on experience with threat modeling, secure architecture reviews, code reviews, penetration testing, and security assessments.
- Strong DevSecOps experience, including CI/CD security automation, container security using Kubernetes and Docker, and security tooling such as SAST, DAST, SCA, and secret scanning.
- Specialized knowledge of AI and LLM security, including mitigation strategies for prompt injection, data exposure, model misuse, and insecure agent integrations.
- Programming or scripting experience with languages such as Python, Go, JavaScript, or Bash.
- Strong communication skills with the ability to influence engineering, product, and leadership stakeholders.
- Experience securing cloud environments, preferably with Google Cloud Platform.
- Knowledge of Infrastructure as Code security, including Terraform.
- Familiarity with CSPM/CNAPP solutions and modern cloud security practices.
Responsibilities
- Lead application security initiatives across products and engineering teams, establishing security standards and best practices.
- Conduct architecture reviews, secure design assessments, threat modeling, and security evaluations for new features and platforms.
- Perform security assessments across web, mobile, and API-based applications, identifying vulnerabilities and driving remediation efforts.
- Define and scale secure software development lifecycle (SDLC) practices across engineering teams.
- Lead security reviews for AI-powered applications, large language model integrations, and intelligent systems.
- Develop security controls for AI environments, including protections against prompt injection, data leakage, model abuse, and insecure integrations.
- Improve security automation by integrating testing and monitoring tools into CI/CD pipelines.
- Drive developer education through documentation, training, and security enablement programs.
- Mentor engineers and promote a security-first mindset across technical teams.
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