Senior Backend Engineer

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!

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.

This position is In-Person and located at our San Jose, CA Office.

• 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

• Design and scale microservices and event-driven systems for high-throughput AI workloads
• Optimize for low latency, high concurrency, and fault tolerance
• Drive reliability, observability, and resilience across services

• 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
• Work with Dev Ops/SRE on CI/CD, deployment automation, and scalability
• Contribute to architecture decisions for multi-region, multi-cloud infrastructure
• Improve monitoring, logging, and diagnostics

• 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

• Data: SQL + No
  
  SQL databases, caching, streaming systems
• Observability:
  Prometheus, Grafana, Open Telemetry (or similar)

• 5+ years of Backend or Infrastructure Engineering experience
• Expert-level proficiency in Golang (must-have, heavy hands-on)
• Strong experience building production-grade distributed systems
• Proven track record on infrastructure platforms, PaaS, or deep-tech systems

• Deep understanding of cloud-native architectures and containerized environments
• Strong experience with Kubernetes, Docker, and cluster orchestration
• Familiarity with compute scheduling, resource management, or platform runtimes is a strong plus

• Experience with distributed databases (Postgre
  
  SQL, Cassandra, Dynamo
  
  DB, etc.)
• Strong…