Mehul Saxena

WORK HISTORY

EDUCATION

ABOUT MEHUL SAXENA

DevOps PLATFORM ENGINEER – CLOUD-NATIVE | DATA PIPELINES | MICROSERVICES | PYTHON | AWS7+ years of experience building and operating scalable cloud-native platforms, microservices, and data pipelines that power high-traffic products. My work sits at the intersection of software engineering and infrastructure reliability — designing resilient services, automating pipelines, and driving production excellence across AWS and Kubernetes environments.I collaborate with product and ML teams to design ranking-based systems, upstream/downstream integrations, and distributed data workflows. Beyond coding and design, I manage release cycles, incident response, CI/CD pipelines, and performance monitoring, ensuring seamless delivery and continuous improvement of business-critical applications.🧩 WHAT I DO • Design and deploy microservice architectures in Python/FastAPI integrated with cloud-native tooling (AWS Lambda, SQS, EKS, Step Functions). • Build and optimize data ingestion & transformation pipelines, integrating with analytics and ML ranking systems for personalized recommendations. • Manage infrastructure as code (Terraform, Helm, CloudFormation) and maintain CI/CD pipelines (GitHub Actions, Jenkins) for automated testing and deployment. • Oversee release management, smoke testing, unit testing, and on-call production support to guarantee availability and uptime SLAs. • Drive incident management & observability using Prometheus, Grafana, Datadog, and CloudWatch; implement alerting and auto-remediation workflows. • Champion security, scalability, and cost optimization through automation, tagging, IAM governance, and policy-driven cloud controls. TECH STACK Python (FastAPI, Flask)| AWS (EKS, Lambda, RDS, S3, VPC, Step Functions)| 🧱 Terraform, CloudFormation | Docker, Kubernetes | Jenkins, GitHub Actions | Datadog, Prometheus, Grafana | 🧠 ML-Based Ranking Systems | PostgreSQL, DynamoDB | IAM, Control Tower, Config | CI/CD, Release & Incident Management PHILOSOPHYI believe engineering excellence is not just about code — it’s about building reliable systems that scale, self-heal, and empower teams to deliver faster. My focus remains on automation, observability, and product reliability — bridging the gap between software delivery and operational excellence.