Aivar Innovations Private Limited

Front-End Engineer building complex, real-time interfaces for Kubogent, an AI and Kubernetes platform used to manage infrastructure, workloads, experiments, and models. This role combines frontend architecture, interaction design, performance engineering, and ownership of data-dense developer tools.

Own the reliability, scalability, and operational excellence of Aivar Innovations’ cloud-native platform as a hands-on DevOps and Site Reliability Engineer. You’ll build AWS and Kubernetes infrastructure, automate delivery and operations, and lead observability and incident response.

Own the frontend of the Convogent platform, building complex interactive canvases, real-time customer surfaces, and data-dense enterprise experiences across multiple AI conversation modalities. This role combines deep React and TypeScript engineering with significant product and design-system ownership.

Own the backend control plane behind Kubogent, building reliable distributed services for multi-tenant infrastructure operations. This senior role focuses on durable workflows, strong APIs, authorization, event delivery, persistence, and production correctness.

Senior Kubernetes Platform Engineer building the distributed control-plane substrate for Kubogent, an AI infrastructure and MLOps platform. The role focuses on Kubernetes-native controllers, multi-cluster management, workload placement, GPU support, secure remote operations, and resilient platform upgrades.

Build the Kubernetes-native control plane behind Kubogent, including controllers, multi-cluster management, workload agents, GPU support, and resilient platform automation. This is a hands-on software engineering role for someone who treats Kubernetes as a programmable distributed system.

Senior Frontend Engineer responsible for building Kubogent’s complex, real-time control surface for managing Kubernetes infrastructure and AI/ML workflows. The role combines hands-on React and TypeScript development with interaction design, frontend architecture, performance engineering, and design-system ownership.

Architect and lead large-scale AI/ML initiatives, from advanced model development through production deployment, for enterprise clients. The role combines technical ownership, solution design, model optimization, MLOps, and mentorship.