IT Security Analyst - India

• 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.

• 1–3 years' experience in a security operations or security analyst role.
• Hands-on experience with Microsoft Defender XDR, Sentinel and Entra ID.
• Experience leading security incidents and producing incident reports.
• Working knowledge of ISO 27001 controls and audit processes.
• Experience with IAM, access reviews, PAM and patch management.
• Proficiency with KQL and PowerShell or Python.
• Strong communication skills with technical and non-technical stakeholders.

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.