Mrunal Patil

DevOps & Cloud Engineer with 3+ years of experience building resilient, high-scale infrastructure on GCP and a GCP Generative AI certified professional actively bridging cloud engineering with AI. At Moneycontrol, I engineered a platform serving 10M+ concurrent users, slashed deployment time by 82%, and drove a 35% reduction in infrastructure costs. I bring deep expertise in Kubernetes, Terraform, CI/CD pipelines, and DevSecOps and I'm now channelling that foundation into practical Gen AI applications: intelligent incident response, LLM-powered automation, and AI-driven operational efficiency using Vertex AI.

I don't just manage infrastructure I transform it.

DevOps Engineer at Moneycontrol | Network18 Media & Investment Pvt Ltd (2023-04 – Present)

• Led end-to-end migration of 200+ on-premises workloads to GCP with <5 min downtime per service, cutting infrastructure provisioning time by 60% through Terraform automation.
• Containerised and migrated legacy VM-based applications to GKE, enabling auto-scaling and sustaining 10M+ concurrent users at a 99.9% uptime SLA.
• Designed and maintained 30+ CI/CD pipelines (Jenkins, GitHub Actions, Argo CD), slashing average deployment time from 45 min to 8 min with integrated SAST and container image scanning on every build.
• Re-architected DevSecOps tooling by migrating Jenkins, GitLab, Argo CD, and Trivy from VM-based setups to Kubernetes clusters significantly improving fault tolerance, scalability, and operational simplicity.
• Deployed Istio service mesh across 40+ microservices, reducing TLS configuration time by 80% and enabling zero downtime canary releases through fine-grained traffic control.
• Transitioned Redis workloads to Redis Enterprise, cutting infrastructure costs by 35% while improving throughput and resilience across high-traffic services.
• Architected multi-tier GCP infrastructure (GKE, Cloud SQL, Pub/Sub, Memory store) and enhanced global content delivery via Akamai CDN, reducing latency and enabling DDoS protection at scale.
• Built observability platforms using Dynatrace and Datadog including dashboards, burn-rate alerts, and proactive reporting aligned to SLO/SLI targets.
• Implemented security controls aligned with PCI DSS, GDPR, and OWASP embedded threat modelling, vulnerability scanning, and pen-testing directly into CI/CD pipelines.
• Managed CrowdStrike Falcon ASPM/CSPM and WIZ for continuous cloud security posture management; enforced encryption standards and regularly audited IAM roles and policies.
• Established secure secrets management using AWS Secrets Manager, Google Secret Manager, and Key Vault across all production workloads.
• GCP Generative AI Certified applied Vertex AI and LLM-based tooling to automate operational workflows, including AI-assisted incident triage, intelligent log summarisation, and automated runbook generation, reducing mean time to resolution (MTTR) by ~40%.
• Integrated Gen AI-powered code review into CI/CD pipelines using LLM APIs, enabling automated detection of misconfigurations, security antipatterns, and infrastructure drift before deployment.
• Leveraged Vertex AI to build internal chatbot tooling for on-call engineers, surfacing relevant runbooks, past incident context, and remediation suggestions in real time.

Master of Computer Applications in MCA – MIT ADT University, Pune (2021-08 – 2023-05)

Bachelor of Computer Science in BCS – Mooljee Jetha College, Jalgaon (2018-06 – 2021-05)