Headline

DevOps Engineer @ Ticketing | DevOps, Site Reliability Engineering

About

I’m a Full-Stack and DevOps/Platform Engineer with 5+ years of experience building production web applications and reliable cloud infrastructure across AWS, GCP, and Azure. My work spans React and Node.js application development, REST APIs, MongoDB and PostgreSQL, Kubernetes, Terraform, CI/CD, observability, and production reliability. I’m comfortable owning a feature end-to-end—from frontend and backend development to deployment, monitoring, and incident response. More recently, I’ve been working on applied AI projects involving LLM integrations, Retrieval-Augmented Generation pipelines, AI agents, vector databases, and custom Model Context Protocol tools. My focus is on using AI to solve practical engineering problems rather than adding AI only as a surface-level feature. Across my roles, I have helped reduce deployment time by 50%, lower MTTR by 40%, improve release cycles, and maintain 99.99% uptime for high-traffic production systems. Core areas: • Full-stack development with React, Next.js, Node.js, Express, MongoDB, and PostgreSQL • DevOps and cloud infrastructure with AWS, GCP, Azure, Docker, Kubernetes, Terraform, and Helm • CI/CD, observability, SRE, security, and disaster recovery • AI agents, RAG pipelines, LLM APIs, vector databases, and MCP tools I’m open to opportunities in Full-Stack Engineering, DevOps, Platform Engineering, SRE, and applied AI engineering.

Location

Bengaluru

AI stack

claude code

codex

hermes agent

livekit

opencode

LiteLLM

Work experience

DevOps Engineer at Ticketing, 2022 - Present · 4 yrs 8 mos, Bengaluru, Karnataka, India, As a DevOps & SRE Engineer at Ticketing, I ensure seamless availability, scalability, and fault tolerance for high-traffic event infrastructure. Focused on automation, proactive monitoring, and resilient design, I enhance performance and guarantee top-tier experiences during peak demand events. 🔧 Infrastructure Management Architected and managed multi-region cloud infrastructures on AWS & GCP, ensuring scalability during peak traffic. Automated provisioning with Terraform and AWS CloudFormation, ensuring consistent, repeatable deployments. Implemented auto-scaling policies and disaster recovery strategies to guarantee uptime. 🚀 CI/CD & Release Automation Built robust Jenkins pipelines for zero-downtime releases via blue-green & canary deployments. Integrated automated rollback mechanisms and QA gates, reducing errors and improving release quality. 📊 Observability & Incident Management Integrated Prometheus, Grafana, and Alertmanager for real-time system monitoring. Created actionable dashboards that improved MTTR (Mean Time To Recovery) by 40%. 🔒 Security & Compliance Worked with security teams to integrate AWS GuardDuty and Vault for secure secret management. Ensured PCI-DSS compliance for secure transaction handling during ticketing events. 💡 Impact Achieved 99.99% uptime SLA during major ticketing events. Reduced deployment time by 50% through CI/CD pipeline optimization. Enhanced system reliability with proactive monitoring and automated scaling solutions.

Site Reliability Engineer at Bobble AI, 2020 - 2021 · 1 yr, Gurugram, Haryana, India, At Bobble AI, I ensure the scalability, automation, and performance optimization of the AI-powered keyboard platform used by millions of users globally. My role centers on empowering developers with CI/CD workflows, optimizing cloud infrastructure, and enhancing observability for machine learning-driven applications. ☁️ Cloud & Infrastructure Management Architected microservice-based systems on AWS and GCP for AI/ML workloads supporting mobile platforms. Automated infrastructure deployment with Terraform and Helm for streamlined management across environments. Introduced cost-efficient scaling strategies to optimize cloud usage during traffic surges. ⚙️ CI/CD & Developer Productivity Built GitHub Actions pipelines for mobile (iOS/Android) and backend microservices, improving release cycles by 40%. Integrated automated tests (unit, UI, integration) into the deployment process, ensuring feature stability. 📈 Performance & Monitoring Implemented Grafana dashboards and distributed tracing (Jaeger) to monitor the performance of AI services. Reduced latency by 30% to ensure a seamless user experience across the platform. 🔒 Security & Compliance Automated vulnerability scans and secret management, ensuring alignment with GDPR and data protection laws. 🌟 Impact Maintained 99.99% uptime during global rollouts of new keyboard features. Reduced production issues by streamlining CI/CD pipelines and enhancing observability. Supported scalable deployments, accommodating millions of active users without performance degradation.

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Dr. A.P.J. Abdul Kalam Technical University