Senior Platform Engineer

2 weeks ago

Bengaluru, India Grizmo Labs Private Limited Full time

Description : We're looking for a Senior Platform Engineer to architect and build the robust infrastructure that powers our next-generation Voice AI platform. In this role, you'll design and implement systems that handle massive scale, ensure ultra-low latency, and deliver exceptional reliability. This is a high-impact role where your work will form the technical backbone of real-time AI conversations used by some of India's leading : - End-to-end ownership : Drive product development from requirements gathering to architecture, implementation, deployment, and post-launch support.- Scale massively : Design and build infrastructure capable of supporting hundreds of thousands of concurrent AI conversations daily.- Innovate constantly : Stay on top of the latest research and technology to implement cutting-edge infrastructure solutions.- Architect for growth : Design highly scalable, distributed systems that adapt to evolving business needs and product features.- Optimise relentlessly : Identify and eliminate system bottlenecks to deliver low-latency, high-throughput performance for real-time voice AI.Requirements : Core Experience : - 5+ years of experience in backend/platform/infrastructure engineering.- Proven track record building and scaling distributed systems in production environments.- Deep knowledge of Kubernetes (EKS/GKE) - including custom operators, CRDs, and cluster operations.- Proficiency in AWS (preferred) or GCP, using Infrastructure-as-Code tools (Terraform, CloudFormation).- Strong experience with monitoring and observability stacks (Prometheus, Grafana, ELK).- Proficient in Python (especially with FastAPI, asyncio) and/or Go.Systems and Performance : - Experience with high-throughput, low-latency systems (ideally in real-time domains).- Deep understanding of systems design, caching (Redis), and messaging queues (Kinesis, SQS).- Strong expertise with PostgreSQL and Redis.- Knowledge of networking, service mesh, and security best practices in cloud environments.Bonus Skills (Nice to Have) : - Experience deploying and monitoring machine learning models in production.- Familiarity with GPU orchestration (NVIDIA, CUDA) and real-time inference optimization.- Knowledge of PyTorch, TensorFlow, or similar ML frameworks.- Familiarity with WebRTC, real-time audio processing, or streaming architecture optimisations.- Experience with multi-tenant SaaS platforms. (ref:hirist.tech)

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