Job Title: Staff/Lead Security Engineer
Location: Bengaluru
Experience: 8+ years
Employment Type: Full-time
Team: Security Engineering
Role Overview
We're looking for a Staff / Lead Security Engineer to own and elevate our security
posture across AI platforms, microservices, data pipelines and mobile/web products.
You'll design and build scalable security controls that integrate seamlessly into CI/CD
and cloud infrastructure, blending deep technical depth with practical risk judgment.
This is a breaker-builder role; you'll collaborate closely with AI, Product and DevOps
teams to embed security from the ground up.
Key Responsibilities:
Security Engineering & Automation
- Design and implement security automation frameworks for threat detection,
remediation and compliance validation across cloud and application layers.
- Operate SentinelOne EDR/XDR and SIEM platforms for automated detection and
response workflows.
- Develop tooling to improve security visibility across AI model pipelines, APIs and
data integrations.
- Integrate security controls (SAST, DAST, SCA, IaC scanning) into CI/CD
workflows via tools like Arnica.
Application & API Security
- Configure and manage Reblaze WAF for custom DDoS and bot protection.
- Conduct secure code reviews and threat modeling for AI microservices, REST
APIs and agentic frameworks.
- Partner with engineering teams to remediate vulnerabilities and enforce secure
SDLC practices.
- Lead periodic VAPT (Vulnerability Assessment & Penetration Testing) for web,
mobile and Agentic AI platforms.
Cloud & Infrastructure Security
- Secure multi-cloud (GCP/AWS) environments using native security services and
third-party tooling.
- Build and maintain IaC security baselines with automated configuration drift
detection.
- Manage secrets, IAM policies and container security across production
workloads.
- Architect and enforce Zero Trust Network Access (ZTNA) policies across internal
services, cloud workloads and third-party integrations. new
- Identify and remediate misconfigurations, exposed defaults and public exposures
across systems like Grafana, Zookeeper and Prometheus.
AI & Data Security
- Continuously monitor for compromised datasets, credentials and model theft
attempts across deep/dark web channels.
- Implement data protection controls for AI training pipelines, model storage and
inference endpoints.
- Deploy and tune DLP (Data Loss Prevention) policies to prevent sensitive data
exfiltration across SaaS, cloud and endpoint channels.
- Leverage CASB solutions to enforce security policies, gain visibility and control
data movement across cloud applications.
- Evaluate and mitigate risks including prompt injection, model leakage and data
exfiltration in AI agent deployments.
Monitoring, Threat Hunting & Incident Response
- Drive improvements to threat detection, alert triage and response automation
across internal teams.
- Conduct proactive threat hunting using SIEM telemetry, EDR/XDR signals and
threat intelligence feeds to detect stealthy or persistent adversaries.
- Lead digital forensic investigations — acquiring, preserving and analysing
artifacts from endpoints, cloud environments and network logs during security
incidents.
- Develop and maintain Security Incident Management (SIM) playbooks, runbooks
and post-incident review processes to drive continuous improvement.
- Monitor dark web forums and marketplaces for leaked data, compromised
credentials and fake breach claims.
- Build dashboards and reports to surface proactive risk visibility for stakeholders.
Compliance & Governance
- Contribute to implementation and ongoing compliance for ISO, SOC 2, GDPR
and HIPAA controls.
- Work with GRC tools (Sprinto, Scrut etc).
- Document policies, run internal audits and support external assessments.
- Manage security communications with third-party vendors (Google Security,
PingSafe, VisitHealth, etc.) and coordinate ethical disclosures.
Security Awareness & Leadership
- Conduct internal security training and phishing simulations for engineering and
business teams.
- Mentor engineers and interns on VAPT, incident response and secure coding
practices.
- Champion org-wide adoption of DMARC, SPF and DKIM for email protection
Requirements
Experience: 7+ years in application, cloud or product security engineering.- Strong programming and scripting in Python, Go or Node.js for security
automation and tooling
- Deep understanding of web and mobile security, OWASP Top 10 and secure
SDLC practices end to end
- Hands-on with IAM, key management and configuration monitoring on GCP or
AWS
- Experience with CSPM, CASB, DLP and SIEM platforms for cloud security
visibility and control
- ZTNA architecture and Zero Trust policy enforcement across multi-cloud
environments
- IaC security - Terraform, CloudFormation
- CI/CD security integration - GitHub Actions, Jenkins, GitLab CI
- Container and orchestration security - Docker, Kubernetes, EKS/GKE
- Proactive threat hunting using SIEM telemetry, EDR/XDR signals and threat intel
feeds
- Digital forensics - endpoint, cloud and network artifact acquisition and analysis
- Security Incident Management (SIM) - playbook development, runbooks and
post-mortems
- Vulnerability assessment and penetration testing across web, mobile and cloud
platforms
- WAF, bot protection and DDoS mitigation configuration and tuning
- Familiarity with AI model security — prompt injection, model leakage, inference
endpoint protection
- Familiar with ISO 27001, SOC 2, NIST, GDPR and HIPPA
- Fair understanding of GRC platforms (Sprinto, Scrut or similar)
- Certifications (Good to have): OSCP, GCP/AWS Security Specialty, CEH, CISSP
or CKS.
Soft Skills
- Strong analytical and problem-solving mindset - able to break down ambiguous
risk problems into structured, actionable findings
- Cross-functional collaboration with Product, AI, DevOps and business
stakeholders
- Passion for automation, continuous improvement and staying ahead of the
evolving threat landscape
- Clear communicator, effectively translating complex security risks into concise,
business-relevant insights that drive informed decision-making.
- Ownership-driven - comfortable making decisions and leading initiatives with
minimal supervision
