Headline

DevOps Engineer @ Orange Health Labs(YC-S20) | VIT CSE’25 | IEEE Published 📘 | Mentor @Topmate 🚀

About

I’m Rishabh Goel — a Software Engineer with a DevOps soul, passionate about turning ideas into scalable, cloud-native products. With hands-on experience at Orange Health Labs, DBS Bank, and PlanetCast, I’ve delivered everything from cost-efficient infrastructure to AI-powered recommendation systems — all backed by solid engineering and an obsession with automation, performance, and reliability. At Orange Health Labs, I currently manage 50+ AWS resources, including production EKS clusters. I engineered ephemeral testing environments that spin up full replicas of production in just 3–4 minutes (down from 1.5 hours), and integrated spot instances to cut compute costs by 35%+. I’ve introduced SigNoz for real-time distributed tracing, and built CI/CD pipelines that accelerate delivery while improving stability. Before that at DBS, I built and deployed scalable Spring Boot microservices, containerized them with Docker, orchestrated them with Kubernetes, and deployed them on AWS with full CI/CD flows — all optimized for high availability and cloud-native delivery. Earlier, at PlanetCast, I developed a movie recommendation engine using Python and TensorFlow — trained on 40,000+ movies with 99% accuracy — blending ML, data science, and content engineering. Beyond work, I’ve published research in IEEE Xplore on Big Data & wearable health monitoring, and I hold multiple cloud certifications, including AWS Solutions Architect and Oracle GenAI Professional. 🔧 Tech Stack: Java | Spring Boot | Python | Docker | Kubernetes | Jenkins | Git | AWS | SQL | Terraform | CI/CD | ML | TensorFlow | SigNoz 🏆 Highlights: • Built & deployed production-grade systems in healthcare, banking & media • Architected cost-optimized ephemeral environments at Orange Health Labs • Published IEEE researcher and multiple cloud certifications • AIR-2 in India – Python Challenge (Internshala) • Hosted on FM Radio for German language initiative 🔥 I combine strong fundamentals (DSA, OS, Networks) with a builder mindset — always shipping, scaling, and simplifying. 📬 Let’s Connect Working on something exciting in DevOps, Cloud, AI, or full-stack engineering? Reach out: rishabh27goel@gmail.com or connect with me here.

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

cursor

Work experience

DevOps Engineer at Orange Health Labs, Sep 2025 - Present · 1 yr 2 mos, Bengaluru, Karnataka, India, Transformed production infrastructure from frequent weekend outages to enterprise-grade platform with near-zero downtime. Wore multiple hats—DevOps, SRE, Data Engineer—handling everything infrastructure: cloud architecture, Kubernetes orchestration, CI/CD pipelines, security hardening, cost optimization, and ETL automation. Zero-Downtime VPC Migration — Migrated entire production from default AWS VPC to enterprise-grade isolated architecture while serving live traffic. Moved RDS, ElastiCache, OpenSearch, Valkey, Memcache to isolated private subnets. Shifted EKS workloads in private subnets. Separated prod/dev into isolated AWS accounts, eliminating public exposure. Kubernetes Platform Modernization — Upgraded EKS from 1.31 → 1.35 (latest) with zero downtime, securing 6+ months upgrade runway. Migrated production nodes to non-burstable instances, eliminating packet drops. Stabilized RDS by upgrading to properly-sized instances, preventing database throttling. Security & Compliance Overhaul — Removed hardcoded AWS credentials from 30+ microservices. Implemented Keycloak SSO + AWS SSO integration. Closed ISO non-conformities. Integrated SonarQube across all repositories. Configured NTP time synchronization for India compliance. CI/CD & GitOps Implementation — Built centralized Jenkins pipelines, removed direct cluster access, enforced deployment governance with full traceability. Implemented ArgoCD in lower environments. Built isolated staging environments in one week, enabling parallel development. Data Engineering & ETL Automation — Set up Snowflake data pipelines with Git version control. Built Lambda-based automated schema drift handling, eliminating manual intervention. Established automated data quality monitoring. Cost Optimizsation & SRE — Saved $2,400+ /month through ECR lifecycle policies, RI purchase and reducing InterAz data transfer .Deployed Zenduty for incident management. Eliminated recurring infrastructure incidents through root cause analysis.

Intern(DevOps Engineer) at Orange Health Labs, Jun 2025 - Aug 2025 · 3 mos, Jumped straight into production firefighting on day one—handling critical incidents, debugging failures across 15+ microservices, and learning the platform by fixing what was broken. No handholding, just pure hands-on infrastructure work under pressure. Production Incident Management — Became the go-to person for production incidents within the first month. Troubleshot and resolved critical issues across Kubernetes clusters, RDS databases, ElastiCache, OpenSearch, and application layers. Reduced mean time to resolution (MTTR) by identifying patterns in recurring failures and implementing preventive fixes. Infrastructure Optimization — Assisted in migrating production nodes from burstable to stable EC2 instances. Helped optimize RDS configurations to prevent throttling. Worked on implementing proper monitoring and alerting using CloudWatch and custom scripts. Learned capacity planning and cost optimization strategies hands-on. CI/CD Pipeline Improvements — Contributed to Jenkins pipeline standardization efforts. Helped implement deployment best practices, rollback procedures, and release validation gates. Worked on automating manual deployment tasks that were error-prone and time-consuming. Rapid Skill Development — Absorbed Kubernetes orchestration, AWS networking (VPC, subnets, NAT, security groups), CI/CD automation, container orchestration, monitoring and observability, incident management, and SRE practices—all while delivering real production value. Transitioned from intern to leading critical infrastructure projects within 2 months, proving capability to handle complex production systems independently.

SDE at DBS Bank, Jun 2024 - Jun 2025 · 1 yr 1 mo, Hyderabad, Telangana, India, Engineering scalable systems for one of Asia’s most safest bank. 🔧 Designed and deployed 10+ production-grade microservices using Spring Boot, powering real-time financial operations with modular and scalable backend architecture. 🚢 Containerized 100% of services using Docker, enabling rapid deployment, rollback, and cross-environment consistency. ⚙️ Orchestrated deployments with Kubernetes, ensuring 99.99% service uptime and smooth horizontal scaling in high-traffic environments. 🌐 Developed REST APIs with optimized response times (~150ms), enabling seamless integration between internal banking platforms and external third-party systems. ☁️ Provisioned and maintained cloud infrastructure on AWS (EC2, S3), reducing operational latency by 30% and enhancing application availability. 🔁 Automated CI/CD pipelines with Jenkins and Git, cutting manual deployment effort by ~60% and ensuring rapid code-to-production flow. 🧠 Worked across DevOps stack — including Nginx, Vagrant, and Linux shell scripting — to deliver end-to-end automation, monitoring, and configuration management. 💥 Delivered real business impact by contributing to critical backend services handling thousands of daily transactions in a high-stakes fintech environment.

Data Scientist at Planetcast Media Services Limited, Aug 2023 - Oct 2023 · 3 mos, Noida, Uttar Pradesh, India, Built intelligent systems that think before you watch. 🚀 Engineered a movie recommendation engine trained on a massive 40,000+ movie dataset — recommending the top 5 must-watch titles based on genre, cast, crew, and storyline. 🎯 Achieved 99%+ accuracy by refining data pipelines, tuning hyperparameters, and training with 60+ epochs using advanced ML models. 🧠 Designed a content-based filtering algorithm leveraging tag generation from multiple features to simulate user behavior. 🛠 Hands-on with Python, Jupyter, Pandas, TensorFlow, and Matplotlib — from data cleaning to visualization. 📊 Transformed raw, messy movie data into insights that entertain — because data can have great taste too. 🌟 Delivered a fully functional engine with real-world utility, merging tech + creativity + ML for smarter content discovery.

Education

Bachelor of Technology - B.Tech, Computer Science and Engineering, Vellore Institute of Technology

10+2, Non-Medical(Physics, Chemistry,Mathematics), Saint Mary's Convent Senior Secondary School