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FlexAI

Senior Backend Engineer

Job · Full-timeHybridBengaluruEarly career1 openingVerified open on 23 Sept 2026

About this role

FlexAI is hiring for Senior Backend Engineer in Bengaluru. This opening was published by FlexAI on their official rippling careers board on 27 January 2026 and was verified as still open on 23 September 2026. About FlexAI Build and Deploy AI the right way, anywhere. The FlexAI Compute…

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Skills you'll use

PythonSQLAWSAzureGCPDockerKubernetesPostgreSQLRedisCommunicationTensorFlowPyTorch

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:

Who can apply

  • Core Engineering Experience:
  • 8+ 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 working on infrastructure platforms, PaaS, or deep-tech systems
  • Infrastructure & 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
  • Databases & Data Systems:

About FlexAI

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…

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