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Tier-1 employer and Bangalore presence increase applicants, balanced by seniority and niche data-platform DevSecOps skills.
Strong platform and compliance focus moderately restricts cross-industry transfers.
Mandatory 10+ years and specific data-platform, cloud, and DevSecOps expertise enforce strict shortlisting.
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Serve as primary contact for Data, AI, and data platform business queries and initiatives.
Lead design, development, and delivery of AI solutions and enterprise applications, managing end-to-end platform lifecycle including deployment and support within timelines and budgets.
Drive platform reliability, security, compliance, and cost optimization; promote Agile, Lean, DevSecOps best practices; and lead continuous improvement and operational excellence efforts.
Bachelor's or master's degree in data engineering, Computer Science, IT, or related field.
10+ years of experience in Data Engineering, Data & AI platform architecture, and digital transformation, preferably in healthcare.
Proven experience with CI/CD pipelines, infrastructure automation, cloud platforms (Azure, AWS, GCP), and DevSecOps best practices.
Onsite work requiring full-time presence in company facilities (office-based minimum 3 days/week).
Experienced leader capable of managing multiple projects and collaborating across global, cross-cultural teams including architects, business stakeholders, and platform engineers.
Strong strategic and systems thinking skills with ability to implement scalable, secure, and business-aligned data and AI solutions.
Practitioner of Agile, Lean, and DevSecOps methodologies focused on automation, platform optimization, and continuous improvement.