Software Development Engineer

Distributed Systems · Cloud Infrastructure · AI Infrastructure · Networking

Building reliable infrastructure for distributed systems, networking, and backend platforms.

I've worked on cloud networking at Google, platform infrastructure at Rubrik, and backend and data systems at Flipkart. I'm especially drawn to problems around networking, distributed systems, reliability, and the infrastructure other engineers depend on.

Resumearyakrishnan2108@gmail.comaryakrishnan@umass.eduinLinkedInGitHubGoogle Scholar

Experience

Production systems I've helped build and run across cloud networking, platform infrastructure, and backend data.

Rubrik

Software Engineer Intern

Platform Infrastructure · Security Cloud

2026
Service infrastructureDeveloper toolingAI-assisted workflows
~200 distributed servicesDetails ↓

Go · Python · Kubernetes · gRPC · Bazel · GCP · Claude Code

Worked on platform infrastructure for Rubrik Security Cloud, standardizing infrastructure dependencies, resources, and runtime configuration across roughly 200 distributed services. Built AI-assisted platform tooling for service analysis, code generation, validation, and migration workflows.

Google

Software Engineer

Multi-cluster Cloud Networking

2024–2025
Multi-cluster networkingProduction debuggingSLOs & observability
99.5%+ reliabilityDetails ↓

Go · Kubernetes · GKE · Cilium/eBPF · BGP · Hubble

Built and operated networking infrastructure for Google Distributed Cloud Hosted, including Kubernetes, Cilium/eBPF, BGP, ClusterMesh, VXLAN, VRFs, and IP tunneling. Debugged production issues across routing, MTU mismatches, pod IP exhaustion, DNS, TLS, and service reachability, and built observability around control-plane and data-plane reliability.

Flipkart (Walmart)

Intern → SDE-1 → SDE-2

Marketplace Backend · Streaming Data

2022–2024
Marketplace backendCDC streamingData infrastructure
2x growthDetails ↓

Java · GCP · GKE · Pub/Sub · Dataflow · Debezium · BigQuery

Built marketplace backend services that helped support 2x growth in sellers and serviceable areas. Also built CDC-based streaming pipelines from SQL Server through Debezium, Pub/Sub, and Dataflow into BigQuery for downstream analytics.

I tend to gravitate toward

Distributed Systems

Reliability, observability, failure handling, and systems that keep working when things go wrong.

Networking & Cloud Infrastructure

Kubernetes, Cilium/eBPF, BGP, multi-cluster networking, and the infrastructure connecting distributed services.

Backend & Data

Microservices, streaming systems, CDC, and production data infrastructure.

ML Infrastructure

Distributed ML systems, developer tooling, and the infrastructure underneath AI workloads.