Lead Security Engineer (Bengaluru)

Lead Security Engineer (Bengaluru)

31 Jul
|
Angel One
|
Bengaluru

31 Jul

Angel One

Bengaluru

Role & responsibilities

- Lead the design and evolution of enterprise security architecture across endpoints, servers (Windows/Linux), network infrastructure, and multi-cloud environments (AWS and GCP).

- Define and drive the implementation of scalable, resilient security solutions aligned with business priorities and risk posture.

- Own and oversee critical security platforms and controls, ensuring high availability, effectiveness, and continuous optimization.

- Provide technical leadership in security design reviews, setting standards and guiding teams toward secure-by-design architectures.

- Partner with senior stakeholders across engineering, infrastructure, and product teams to embed security into system design, development lifecycles, and operational processes.

- Establish and enforce enterprise-wide security baselines, standards, and reference architectures across on-premises and cloud environments.

- Lead complex security initiatives and programs, from planning through execution, ensuring timely delivery and measurable outcomes.

- Drive advanced threat modeling, attack surface analysis, and proactive risk reduction strategies.

- Oversee integration of security telemetry into detection and response ecosystems, improving visibility, detection quality, and response readiness.

- Guide audit and compliance efforts, ensuring alignment with regulatory requirements and internal governance standards.

- Champion automation and engineering excellence by introducing scalable solutions, reducing manual effort, and improving operational efficiency.

- Mentor and develop security engineers, fostering technical growth, accountability, and high performance within the team.

- Act as a technical escalation point for complex security challenges and incidents.

- Influence security strategy, tooling decisions, and long-term roadmap in collaboration with leadership within the CISO organization.

- Define and implement security controls for enterprise use of AI/ML technologies,



addressing risks such as data leakage, model misuse, and adversarial threats.

Preferred candidate profile

- 7 to 10+ years of experience in cybersecurity, with strong depth in security engineering and architecture.

- Demonstrated experience leading the design and implementation of security solutions across enterprise-scale environments, including hybrid and multi-cloud infrastructures.

- Deep expertise in multiple security domains, such as network security, endpoint protection, identity and access management, application/API security, and data protection.

- Advanced hands-on experience with cloud security (AWS and/or GCP), including architecture design, workload protection, and cloud-native security controls.

- Solid proficiency with enterprise security technologies such as firewalls, WAF, IDS/IPS, EDR/XDR, IAM platforms, API gateways, and data security solutions.

- Extensive knowledge of system hardening, vulnerability management, and secure configuration practices aligned with industry benchmarks.

- Strong understanding of security frameworks and standards such as NIST, ISO 27001/27002, CIS Controls, and cloud security best practices.

- Proven ability to lead large-scale security initiatives, drive cross-functional collaboration, and influence technical decisions.

- Experience with automation and scripting (e.g., Python, PowerShell, Bash) to build scalable and efficient security solutions.

- Strong familiarity with DevSecOps practices, CI/CD security, and infrastructure-as-code security.

- Deep understanding of Zero Trust architecture and modern defense strategies.

- Ability to assess complex risks, make informed decisions, and balance security with business needs.

- Excellent communication and stakeholder management skills, with the ability to translate technical risks into business impact.

- Relevant certifications such as CISSP, CCSP, or equivalent are strongly preferred.

- Solid understanding of AI/ML security risks, including model abuse, data exposure, and adversarial techniques, along with practical mitigation strategies.

📌 Lead Security Engineer (Bengaluru)
🏢 Angel One
📍 Bengaluru

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