Senior Backend Engineer

Senior Backend Engineer About FlexAI Build and Deploy AI the right way, anywhere. The FlexAI Compute Infrastructure Platform provides an "end-to-end AI compute layer" for running and managing workloads across any cloud, any GPU, and any deployment model (public, hybrid, or on-prem). It brings together "1-click simplicity" for users with "enterprise-grade orchestration, security, and automation" under the hood. Founded by Brijesh Tripathi , who brings experience from Nvidia, Apple, Tesla, Intel and Zoox, FlexAI is not just building a product – we’re shaping the future of AI. Our teams are strategically distributed across Silicon Valley and Bengaluru, united by a shared mission: to deliver more compute with less complexity. If you're passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem, FlexAI is the place for you ! Role Overview FlexAI is looking for a Senior Backend Engineer (Infrastructure & AI Platform) with deep Golang expertise to architect and build the core backend systems powering our next-generation AI compute and PaaS platform. This role sits at the intersection of distributed systems, cloud infrastructure, and AI platform engineering — enabling large-scale model training, inference, and orchestration across heterogeneous compute. This is not a traditional backend role; you will be building platform-grade systems that support AI runtimes, scheduling, resource orchestration, and multi-tenant cloud infrastructure. As a Senior Backend Engineer , you'll drive backend architecture, scale platform services, and build high-performance infrastructure components that power AI workloads in production environments — influencing how the platform evolves from Beta to enterprise-grade deployment. Expect high ownership and technical autonomy in a research-driven, deep-tech environment — not SaaS CRUD apps. What Makes This Role Unique at FlexAI Build backend systems powering next-gen AI compute infrastructure (not SaaS CRUD apps) Work on deeply technical problems across AI runtime, orchestration, and distributed infrastructure Direct influence on architecture as the platform scales from Beta to enterprise-grade deployment High ownership and technical autonomy in a research-driven, deep-tech environment What You'll Do Core Platform & Infrastructure Backend: Architect and develop high-performance Golang services for FlexAI's AI PaaS and infrastructure platform Build internal APIs powering model deployment, job scheduling, and compute lifecycle management Develop components interfacing with GPU/compute infrastructure and AI runtimes Distributed Systems & Scalability: Design and scale microservices and event-driven systems for high-throughput AI workloads Optimize for low latency, high concurrency, and fault tolerance Implement service-to-service communication (gRPC/REST, message queues, async pipelines) Drive reliability, observability, and resilience across services AI Platform Integration: Collaborate with AI/ML and Runtime teams to integrate systems with training pipelines, inference infrastructure, experimentation workflows, and dataset/artifact management Enable orchestration across cloud and on-prem environments Build abstractions that simplify AI infrastructure consumption Cloud-Native & Platform Engineering: Design cloud-native, Kubernetes-native services Work with DevOps/SRE on CI/CD, deployment automation, and scalability Contribute to architecture decisions for multi-region, multi-cloud infrastructure Improve monitoring, logging, and diagnostics Technical Leadership: Lead architecture reviews and set engineering standards Mentor engineers and guide complex problem-solving Drive long-term roadmap for backend infrastructure and AI platform capabilities Partner with Product, Runtime, and Infra leadership to translate requirements into scalable systems Tech Stack (Indicative) Languages: Golang (Primar ... (truncated, view full listing at source)