Preeti Paul

Results-driven DevOps / Platform Engineer with 4+ years of hands-on experience architecting CI/CD pipelines, managing multi-service AWS cloud infrastructure, and driving infrastructure-as-code adoption with Terraform and Kubernetes. Delivered 15% server cost reduction for a Fortune-500 automotive client and maintained 99.9%+ uptime SLAs across production workloads. Proven ability to reduce deployment cycle times, harden security posture, and scale platforms from startup to enterprise.

Experienced across SaaS, automotive, and food-tech domains.

DevOps Engineer - HungerBox - Bengaluru, India

(2025-04)

• Architected and maintained end-to-end Jenkins CI/CD pipelines for 15+ microservices, cutting average deployment cycle time by 50% and eliminating manual release errors on a high-scale B2B SaaS platform serving 500+ enterprise cafeterias.
• Orchestrated 20+ containerised microservices on ECS, Kubernetes (EKS), enabling zero-downtime rolling deployments and achieving 99.95% platform availability.
• Deployed the ELK Stack (Elasticsearch, Logstash, Kibana) for centralised log aggregation across all services, reducing mean time to detect (MTTD) incidents by 40%.
• Configured NGINX and AWS ELB for reverse proxying and load balancing, handling traffic spikes of 3× baseline load with no performance degradation.
• Designed multi-AZ VPC architecture with private subnets, NAT gateways, security groups, and WAF rules, achieving zero critical security incidents since deployment.
• Optimised Amazon RDS (PostgreSQL) by tuning query plans, connection pooling, and read replicas, improving query response time by 35%.
• Enforced RBAC and IAM least-privilege policies across all AWS accounts and Kubernetes namespaces, passing internal security audit with zero high-severity findings.
• Implemented infrastructure cost optimisation (reserved instances, right-sizing, S3 lifecycle policies), reducing monthly cloud spend by 20% within 60 days of joining.
• Built an internal AI Knowledge Bot using a RAG pipeline on Amazon Bedrock (Claude 3 Sonnet) and Amazon Kendra, indexing 800+ Confluence pages — achieving 60% faster engineer onboarding and resolving 70% of infra queries without human escalation.

DevOps Engineer — Client: Toyota Motors of North America - LTIMindtree - Bengaluru, India

(2022-03 - 2025-04)

• Delivered 15% reduction in annual AWS server costs (~$200K savings) through systematic cloud right-sizing, ASG tuning, and Reserved Instance planning while maintaining all performance SLAs.
• Managed enterprise-scale AWS infrastructure (EC2, ELB, ASG, S3, VPC, Route 53, CloudWatch) supporting mission-critical automotive manufacturing workflows for a Fortune-500 client across 3 regions.
• Automated 100% of infrastructure provisioning using Terraform IaC, reducing environment spin-up time from 3 days to under 2 hours and eliminating configuration drift.
• Engineered Jenkins and XL Release CI/CD workflows that reduced release cycle time from bi-weekly to on-demand daily deployments, supporting 8+ application teams simultaneously.
• Containerised and deployed 12+ microservices using Docker and Kubernetes, enabling independent scaling and reducing inter-service deployment dependencies by 60%.
• Implemented AWS WAF, VPC security groups, and network ACLs, hardening infrastructure against OWASP Top-10 threats and achieving compliance with client security standards.
• Led Disaster Recovery (DR) and BCP planning and testing, achieving an RTO of under 30 minutes and RPO of under 15 minutes for all tier-1 services.
• Administered Linux-based production environments (Ubuntu, Amazon Linux 2), performing performance tuning, log analysis, and root-cause analysis for P1/P2 incidents.

B.Tech. - Computer Science & Engineering - Camellia Institution of Technology (2017 - 2021)