Security Engineer job opportunity at Apna.

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Date2025-11-11T11:07:52.592Z bot
Apna Security Engineer
Experience: 4-years
Pattern: full-time
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loacation Bengaluru, India
loacation Bengaluru....India

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: 1 - 4 years in application, cloud or product security engineering. Strong programming/scripting in Python, Go or Node.js (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.

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