Careernet

h2, h2 a{font-size:2rem} How MyCareernet worked with a global cloud-testing leader to deliver speed and precision in hiring. About the client A global leader in cloud-based testing solutions with a strong employer brand and a reputation for driving innova

Work-from-office openings are rising as AI changes the nature of work in India's technology sector, with companies increasingly emphasizing hands-on learning, collaboration and direct exposure to experienced teams.Neelabh Shukla, Chief Business Officer, C

According to Careernet data, the time from raising a requisition to extending an offer fell from 53 days in FY25 to 46 days in FY26, an improvement in how fast companies are closing roles. Notice periods, however, have barely changed. The average gap betw

Recognition underscores Careernet

GCCs in India are emerging as larger recruiters of Forward Deployed Engineers (FDEs) as global companies look to build and own AI capabilities in-house. The FDE role is gaining importance as enterprises move beyond AI experimentation and focus on translat

A rise in cyberattacks is pushing companies to strengthen their cybersecurity teams, with hiring increasingly focused on specialized capabilities across cloud security, AI security, and threat intelligence. The shift comes as businesses rely more on autom

As AI adoption matures, hiring is shifting from measuring AI usage to evaluating the business value AI creates. Organizations are increasingly prioritizing candidates who can demonstrate measurable business outcomes, as recruiters place greater emphasis o

As enterprises accelerate AI adoption, the demand for Forward-Deployed Engineers (FDEs) is growing rapidly. Combining technical expertise with business acumen, FDEs are emerging as key talent that helps organizations bridge technology and business outcome

As enterprises accelerate AI adoption, workforce readiness continues to lag behind, highlighting the need to redesign roles, workflows, and governance alongside technology deployment. Industry leaders emphasize that successful AI transformation requires m