Qualification
All eligibility conditions are assessed as on the respective cut-off dates stated above. Candidates must independently verify they meet every criterion before applying; merely submitting an application does not constitute a right to be called for selection. Age Limit (as on 01 June 2026) Scale Minimum Age Maximum Age Date of Birth Range SMGS IV 33 years 45 years 02 June 1981 – 01 June 1993 MMGS III 31 years 43 years 02 June 1983 – 01 June 1995 MMGS II 29 years 41 years 02 June 1985 – 01 June 1997 The maximum ages above apply to General category and EWS candidates. SC/ST candidates receive 5 years of relaxation in the upper age limit; OBC (Non-Creamy Layer) candidates receive 3 years ; Persons with Benchmark Disabilities receive 10 years ; Ex-Servicemen (with at least 5 years' military service) receive 5 years; and persons affected by the 1984 riots receive 5 years. SC/ST/OBC candidates may combine their category relaxation with only one of the remaining relaxation categories. Educational Qualification and Work Experience Post 1 - Manager, Cloud Centre of Excellence (MMGS II) Mandatory qualification: Bachelor's degree in Computer Science, Computer Science & Engineering, Information Technology, Software Engineering, or Electronics & Communications Engineering (or equivalent) from a university/institute recognized by the Government of India, UGC, or AICTE. Preferred certifications include AWS Solutions Architect (Associate/Professional), Azure Administrator, DevOps Engineer, or Google Associate/Professional Cloud Engineer. Work experience required: Minimum 4 years of post-qualification experience in IT Industry, BFSI, or the IT vertical of an organization, of which at least 2 years must be specifically in cloud administration or cloud engineering roles. Post 2 - Manager, AI Engineers (MMGS II) Mandatory qualification: Full-time B.E./B.Tech in Computer Science, Information Technology, Electronics, Data Science, Artificial Intelligence, or Machine Learning - OR - full-time MCA/M.Tech in AI, Machine Learning, Data Science, Computer Science, or a related field - from a university/institution recognized by the Government of India, AICTE, or UGC. Candidates must also hold at least one professional certification (valid as on the date of eligibility) in AI, Machine Learning, Deep Learning, Data Science, or Generative AI from a recognized university, reputed technology organization, or professional certification body. Work experience: Minimum 6 years (post B.E./B.Tech/MCA) in AI/ML development, Data Science, or Advanced Analytics, including at least 2 years leading or managing AI/ML projects or teams - OR - Minimum 5 years (post M.Tech) with the same specialization, including the same 2-year leadership requirement. Post 3 - Senior Manager, Cloud Centre of Excellence (MMGS III) Same mandatory degree requirement as Post 1. Preferred certifications: AWS Solutions Architect (Professional), Azure Administrator, DevOps Engineer, or Google Associate/Professional Cloud Engineer. Work experience: Minimum 6 years post-qualification experience in IT/BFSI, of which at least 3 years in cloud architecture or cloud engineering roles. Post 4 - Senior Manager, AI Engineers (MMGS III) Same mandatory degree and certification requirements as Post 2 (Manager AI Engineers). Work experience: Minimum 4 years (post B.E./B.Tech/MCA) in AI/ML development, Data Science, or Advanced Analytics - OR - Minimum 3 years (post M.Tech) in the same domains. Post 5 - Chief Manager, Cloud Centre of Excellence (SMGS IV) Same mandatory degree as Posts 1 and 3, plus a mandatory intermediate certification from Microsoft Azure . Preferred additional qualifications: MCA or M.Tech/M.Sc in Computer Science, IT, or Electronics & Communications Engineering. Preferred certifications: AWS Solutions Architect (Professional), Azure Solutions Architect Expert, or Google Professional Cloud Architect. Work experience: Minimum 8 years post-qualification experience in IT/BFSI, of which at least 4 years in cloud architecture, cloud engineering, or DevOps roles. Candidates should note that 59.99% will be treated as less than 60%, and 54.99% as less than 55%, when calculating percentage of marks. Where a university awards CGPA/OGPA, candidates must convert it to percentage and indicate that figure in the online application.