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Senior Security Engineer

2 weeks ago

Bengaluru, Karnataka, India Apna Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Job Title: Senior Security Engineer (Sr.SE )Location: Bengaluru
Employment Type: Full-time
Team: Security Engineering Role Overview

As a Senior Security Engineer, you will play a key role in strengthening the company's overall security posture across our AI platforms, microservices, data pipelines and mobile/web products. You will design, build and automate scalable security controls that integrate seamlessly into our CI/CD pipelines and cloud infrastructure.

This role demands a hands-on breaker-builder who can balance deep technical expertise with practical risk management, while collaborating with AI, product, and DevOps teams.

Key Responsibilities

Key Responsibilities

1. Security Engineering & Automation

  • Design and implement security automation frameworks for threat detection, remediation and compliance validation across cloud and application layers.
  • Develop tools and scripts to enhance security visibility in AI model pipelines, APIs and data integrations.
  • Integrate security controls into CI/CD workflows (SAST, DAST, SCA, IaC scanning).
  • Worked on XDR/SIEM for automated detection and response.

2. Application & API Security

  • Perform secure code reviews and threat modeling for AI microservices, REST APIs and agent frameworks.
  • Collaborate with developers to remediate vulnerabilities and enforce secure SDLC practices.
  • Lead periodic VAPT (Vulnerability Assessment & Penetration Testing) for web, mobile apps, Agentic AI platform and connected services. 
  • Identified and mitigated vulnerabilities such as OTP bypass, data leaks in public GCS buckets and source code exposure.

3. Cloud & Infrastructure Security

  • Secure multi-cloud (GCP/AWS) environments using native and third-party tools.
  • Build and maintain IaC security baselines and automated configuration drift detection.
  • Configure and manage WAF for custom DDoS and bot protection.
  • Manage secrets, IAM and container security best practices across production workloads.
  • Fix misconfigurations, default credentials, and public exposures across systems like Grafana, Zookeeper, and Prometheus.

4. AI & Data Security

  • Continuously monitor for compromised datasets, credentials, and model theft attempts in deep/dark web spaces.
  • Implement data protection mechanisms for AI training pipelines, model storage and inference endpoints.
  • Evaluate and mitigate prompt injection, model leakage and data exfiltration risks in AI agents.

5. Monitoring & Incident Response

  • Collaborate with internal teams to improve threat detection, alert triage and response automation.
  • Monitor dark web and forums like Telegram/Russian marketplaces for leaked data, compromised credentials, and fake breach claims.
  • Build dashboards and reports for proactive risk visibility.

6. Security Awareness & Leadership

  • Conduct internal security training and phishing simulations.
  • Mentor interns and engineers on VAPT, incident response, and secure coding.
  • Advocate for organization-wide adoption of DMARC, SPF, and DKIM for email protection.

7. Compliance & Governance

  • Conduct internal security training and phishing simulations.
  • Contribute to ISO 27001, SOC 2, GDPR and HIPAA security controls implementation.
  • Document policies, run internal audits and support external assessments.
  • Manage security communications with third-party vendors (Google Security, VisitHealth, PingSafe, etc.) and ethical disclosures.
Key Requirements
  • Experience: 5-6 years in application, cloud or product security engineering.
  • Strong programming/scripting in Python, Go or (for automation).
  • Deep understanding of web and mobile security, OWASP Top 10, and secure SDLC practices.
  • Hands-on experience with:
    • Cloud security (IAM, key management, configuration monitoring, threat detection and security monitoring using tools like CSPM, CASB, SIEM, etc.)
    • IaC tools (Terraform, CloudFormation)
    • CI/CD tools (GitHub Actions, Jenkins, GitLab CI)
    • Strong understanding of containers (Docker, Kubernetes, EKS/GKE)
  • Familiar with AI model security and data privacy principles (preferred).
  • Knowledge of compliance frameworks like ISO 27001, SOC2, NIST or GDPR.
  • Certifications (Good to have): OSCP, GCP/AWS Security Specialty, CEH, CISSP or CKS.
Soft Skills
  • Strong analytical and problem-solving mindset.
  • Excellent cross-functional collaboration.
  • Passion for innovation, automation and continuous learning.