I’m seeking a leadership role in high-availability infrastructure, production operations, and AI automation. I specialize in building secure, resilient, and self-healing systems for high-stakes, regulated environments such as fintech, payments, and healthcare.
Vina Kumari Roy
@vinakumariroy
Senior Systems Engineer | Infrastructure & AI Platform Operations I automate resilient infrastructure for mission-critical fintech payment platforms.
What I'm looking for
I'm a Senior Systems Engineer with 10+ years running mission-critical infrastructure across fintech and healthcare. I started as a Linux Administrator at HPE (AbbVie Pharma), managing ~250 servers and cutting vulnerabilities by 90%. At Cerner, I led a 3-person team supporting 100+ Linux servers as the primary escalation point for critical incidents, improving uptime by 70%. For the past four years at Visa Inc., I've maintained 99.99% SLA/OLA compliance for global payment platforms, led IT Disaster Recovery across authorization and settlement systems, and coordinated teams across the US, UK, and APAC — cutting hardware failures by 70% and security vulnerabilities by 95%.
More recently, I've been applying AI to operations: building an AI-driven anomaly detection model and an MCP/Claude Code-based patching platform that cut patching time by 50%. I hold RHCSA/RHCE certifications plus several in generative AI and prompt engineering. I'm most interested in roles blending operations leadership with AI platform integration.
Experience
Work history, roles, and key accomplishments
Delivered 24/7 infrastructure operations for mission-critical payment platforms, maintaining 99.99% SLA/OLA compliance. Spearheaded enterprise IT Disaster Recovery failover/failback and managed high-risk hardware refresh, reducing hardware failure incidents by 70%. Directed weekly production maintenance, reducing security vulnerabilities by 95%. Led AI-driven automation projects for traffic anomal
Education
Degrees, certifications, and relevant coursework
NSHM Knowledge Campus, Durgapur
Bachelor of Technology, Computer Science and Engineering
Grade: CGPA: 8.46
Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.46.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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