VP · Platform Engineering & Infrastructure
Pranav
Kalambi
23 years shaping enterprise IT operations, platform reliability & digital transformation across global financial institutions.
23 years shaping enterprise IT operations, platform reliability & digital transformation across global financial institutions.
My name is Pranav Kalambi, born in Mumbai. I've worked for 23 years in the field of Information Technology and Operations — built and led high-performing teams including IT Managed Services, IT Service Desk, Network, Servers, on-site deskside, Datacentre and other Infrastructure, with an annual budget of over USD 10M. My career interests are to excel and create next-generation IT Support Services for organizations of all sizes and industries.
Served as a strategic business asset, shaping a long-term technology transformation plan to transition existing legacy systems onto new modernized platforms. Optimized the IT landscape to improve customer satisfaction and support, continually assessing, evaluating and enhancing application, system and processes.
Responsible for IT Operations, Platform Engineering, Projects, and Automation. Responsibilities cover local site support (Datacentre — On-Prem/Hosted, Network, Servers, Storage), Production Management, End User Computing, and Global Platform Engineering covering Azure Deployments, Automation, DevOps, Messaging, Webservice, SSL, Kafka, and Infrastructure As A Code.
Responsible for IT Site Management for Chennai, then moved to Mumbai to build and manage the site. Mumbai had a seat capacity of 3,800 with a user base of approx. 4,500 including Front, Middle and Back Office Operations. Front Office, Sales, Corporate Bank were key priorities requiring upgraded machines and technology.
Managed Projects and Transitions including transitions of 3,500 roles from UK, US, and ME to India. After the site was fully occupied, responsibilities shifted to managing site upkeep and delivering business requirements.
Modern infrastructure teams are leveraging Gen AI to automate runbook generation, accelerate incident triage, and synthesize monitoring signals — reducing MTTR and freeing engineers for higher-order work.
Agentic AI systems autonomously execute multi-step IT workflows — from auto-remediation in SRE pipelines to intelligent provisioning of cloud resources — enabling truly self-healing infrastructure at scale.
Combining IaC principles with AI-driven code generation accelerates deployment velocity, reduces configuration drift, and enables policy-as-code enforcement across hybrid cloud environments.
AIOps platforms use ML to correlate alerts, predict failures before they surface, and intelligently route escalations — aligning well with the SRE model and platform engineering disciplines.