Aditya Mandyam

I build backend systems that scale—whether it's moving millions of retail orders, securing cloud infrastructure, or powering creative workflows. As a software engineer , I focus on designing distributed, cloud-native systems that are robust, performant, and maintainable. My core expertise spans Java, Python, and Go, with production experience across Spring Boot, FastAPI, asyncio, gRPC, REST, Kubernetes, Docker, and cloud platforms like GCP and AWS. I’ve worked across varied domains—from retail platforms and network infrastructure to media tools—bringing a product-focused mindset to every line of code. My toolbox includes Redis, Cloud Firestore, MongoDB, PostgreSQL, Cloud Spanner, Kafka, Google Pub/Sub, Prometheus, Datadog, and CI/CD pipelines with GitLab and Jenkins to support efficient development cycles and operations. Key Highlights: 🧱 At Loblaw, helped decompose legacy monoliths into microservices on GCP—boosting scalability, reducing deployment bottlenecks, and accelerating cross-team delivery. 🔐 At Arista Networks, improved AAA workflows within CloudVision, enhancing reliability and flexibility for both on-prem and cloud-based customers. 🎬 At Adobe, contributed to the end-to-end development of Premiere Rush, gaining deep experience in launching a cross-platform, consumer-facing product from scratch. I enjoy solving the kinds of engineering problems that unlock business agility—be it optimizing system latency, enabling rapid experimentation, or improving platform reliability. I collaborate closely with cross-functional teams and mentor junior engineers to foster sustainable, high-performing development cultures. Looking ahead, I’m focused on driving architecture at scale, shaping engineering best practices, and helping grow high-performing, resilient teams. 🔗 Check out my work: https://github.com/adityamdk