Security Operations Engineer

3 weeks ago


Gurugram, India Simpplr Full time

Who We Are
Simpplr is the AI-powered platform that unifies the digital workplace – bringing together engagement, enablement, and services to transform the employee experience. It streamlines communication, simplifies interactions, automates workflows, and elevates the everyday experience of work. The platform is intuitive, highly extensible, and built to integrate seamlessly with your existing technology.

More than 1,000 leading organizations – including AAA, the NHS, Penske, and Moderna – trust Simpplr to foster a more aligned and productive workforce. Headquartered in Silicon Valley with global offices, Simpplr is backed by Norwest Ventures, Sapphire Ventures, Salesforce Ventures, and Tola Capital. Learn more at

Job Title
JOB DESCRIPTION - SECURITY OPERATIONS ENGINEER
Security Operations Engineer
Job Description
We are hiring a
Security Operations Engineer
to support and scale our security efforts across
infrastructure, product, and AI systems
. In this role, you'll work at the intersection of cloud operations, application security, and AI-driven product development. You'll be responsible for triaging vulnerabilities, supporting security incident response, managing threat intelligence workflows, and contributing to our AI security testing efforts.

This is a highly collaborative role where you'll partner with engineering, DevOps, and product teams to ensure our cloud infrastructure and AI-powered platform are secure by design. You'll be expected to bring strong technical skills, operational discipline, and a passion for emerging AI risks and defenses.

Key Responsibilities

  • Lead daily security operations across cloud infrastructure and application layers, including vulnerability management, threat monitoring, and incident triage.
  • Manage the lifecycle of externally reported security vulnerabilities, ensuring timely triage, tracking, and remediation.
  • Monitor, investigate, and respond to security alerts and suspicious behavior, with a focus on both infrastructure and product layers.
  • Support the security posture of AI features, including model threat assessments, abuse detection, and secure prompt handling.
  • Partner with engineering teams to embed security controls into the development lifecycle, with special attention to AI features and data pipelines.
  • Participate in internal security reviews, including the testing and hardening of AI and SaaS components.
  • Coordinate and document security tickets, playbooks, runbooks, and workflows across platforms.
  • Contribute to cloud security monitoring, automation, and the development of detection use cases.
  • Research and track AI security trends, adversarial ML risks, prompt injection threats, and model exploitation vectors.
  • Support audits, compliance efforts, and reporting as needed.

Minimum Qualifications

  • 3+ years of experience in security operations, cloud security, or infrastructure/product security roles.
  • Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and associated security best practices.
  • Experience in vulnerability management, incident response, and log analysis.
  • Understanding of application security principles, secure coding practices, and risk mitigation strategies.
  • Solid grasp of AI/ML fundamentals and awareness of associated threat vectors (e.g., model extraction, adversarial inputs, prompt injection).
  • Experience working with threat intelligence, security testing, and cross-functional engineering teams.
  • Strong communication and documentation skills, with a disciplined and self-driven mindset.

Preferred Qualifications

  • Direct experience supporting security reviews for AI systems or LLM-based features.
  • Hands-on experience with automating cloud security operations and implementing guardrails.
  • Familiarity with security frameworks such as MITRE ATT&CK, OWASP Top 10 (Web & LLM), or NIST.
  • Relevant certifications (e.g., OSCP, CEH, GCP/AWS Security, or ML Security certifications).
  • Experience working in SaaS and multi-tenant environments.

Simpplr's Hub-Hybrid-Remote Model
At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want.

  • Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time.
  • Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis.
  • Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.


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