Gowtham Rajeshshekaran
Software/Platform Engineer - Edge (R&D) • Agentic AI Platforms • K8s • AWS/Azure • Go, Java
- Role
- Software Engineer - Edge (R & d) at Armada
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Gowtham Rajeshshekaran
Software engineer with 5 years of experience, driven by passion for distributed systems, cloud-native platforms, and microservices with a strong affinity for Golang and Rust to build performant, reliable systems.Currently at Armada AI, I’m building the Armada Edge Platform (AEP) for Apps, a highly scalable, multi-tenant K8s based platform that enables seamless onboarding and orchestration of AI applications across edge and cloud environments. My work spans from designing Kubernetes-native operators, KubeVirt-based VMs with on-demand Guacamole RDP/SSH connections, and GitOps-driven workload deployments.Previously at Guidewire, I focused on enhancing developer experience, automating infrastructure releases, and building self-service CI/CD pipelines that improved delivery velocity and reliability across teams.My expertise bridges frontend and backend engineering with platfrom and infra layer from building React + TypeScript dashboards to architecting distributed systems using Go, Rust, Java, with platforms and infrastructure automation using Kubernetes (and CNCF products), Terraform, GitOps and Cloud (AWS/Azure).Recently, I’ve been exploring how Generative AI can accelerate system design, development, and operational excellence — merging my interests in AI and distributed systems to redefine developer productivity.I’m driven by the pursuit of scalable architecture, clean code, and intelligent automation — building systems that empower customers, developers, and organizations to move faster with confidence. Let’s connect: g••••••••@gmail.com
Experience
Software Engineer - Edge (R & d)
Jan 2025 — Present · Bellevue, WA, US
I’m building the Armada Edge Platform (AEP) for Apps — a highly scalable, multi-tenant platform that enables seamless onboarding and orchestration of AI applications across edge and cloud environments. My work spans from designing Kubernetes-native operators, KubeVirt-based VMs with on-demand Guacamole RDP/SSH connections, and GitOps-driven workload deployments.
Education
NYU Tandon School of Engineering
NYU Tandon Bridge, Computer Science
2020 — 2020
College of Engineering, Guindy
Bachelor of Engineering (B.E.)
Scaler
Computer Software Engineering
Bharathi Vidya Bhavan (BVB), Erode
STEM
Santa Clara University
Master's degree, Computer Science and Engineering
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