IT Security Analyst - India

The IT Security Analyst protects the organization's information assets by operating and improving our security controls. The role owns security operations across Microsoft Defender, leads incident response, maintains ISO 27001 documentation, and drives identity, access and patch management.

SOC & Alert Management: Monitor, triage and resolve alerts in Microsoft Defender XDR and Sentinel; tune detections to reduce false positives and improve response times.

Incident Response: Lead incidents end-to-end (containment, eradication, recovery, lessons learned); maintain the Incident Response Plan and playbooks.

ISO 27001: Maintain ISMS policies, risk register and audit evidence; support internal and external audits and close findings.

IAM & Access Reviews: Administer Entra ID (Conditional Access, MFA); run quarterly user and privileged access reviews and enforce least privilege.

PAM: Operate the Privileged Access Management solution, including PIM and break-glass accounts.

Patch & Vulnerability Management: Own vulnerability remediation and monthly patch cycles; report compliance against SLAs.

Cost Optimisation: Manage security licences and Sentinel log ingestion to optimise cost without reducing coverage.

India: ₹5L–9L per year (CTC) Philippines: ₱45k–60k per month (₱540k–720k per year)

At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.

You'll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You'll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.

Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.