0 years
0 Lacs
Posted:3 days ago|
Platform:
Remote
Contractual
Location: Remote / Hybrid
· Backend Architecture & Microservices Development
· Design, build, and maintain robust backend microservices using Python / Node.js / Go/ FastAPI.
· Architect scalable, high-performance backend systems for AI, LLM, and data-intensive workloads.
· Build and integrate REST, GraphQL, and gRPC APIs.
· Implement event-driven systems using Kafka, RabbitMQ, or Pub/Sub.
· Optimize performance, scalability, latency, and fault tolerance in distributed services.
· Integrate OpenAI, Claude Anthropic, HuggingFace, and custom LLM APIs into production systems.
· Ensure best practices for security, authentication, observability, and compliance (OAuth2, JWT).
• Implement and optimize CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or CodePipeline.
• Automate deployments, scaling, and monitoring across EKS, ECS, Lambda, and serverless frameworks.
• Use Terraform, CloudFormation, Ansible for Infrastructure-as-Code (IaC).
• Manage containerized environments using Docker, Kubernetes (EKS preferred).
• Configure cloud networking, IAM roles, and secure VPC-based architectures.
• Deploy, manage, and optimize AWS GPU instances (P4, G5, G6, A10, A100).
• Install and manage NVIDIA drivers, CUDA, cuDNN for GPU-accelerated workloads.
• Build GPU-enabled backend services using NVIDIA Docker & Container Toolkit.
• Monitor GPU performance using nvidia-smi, CloudWatch, Prometheus, Grafana.
• Optimize backend components for multi-GPU setups, memory usage, and model parallelism.
• Automate driver updates, GPU provisioning, and GPU-aware CI/CD.
• Work with SQL and NoSQL databases including PostgreSQL, MySQL, MongoDB, Redis, ElasticSearch.
• Build scalable data pipelines and caching layers.
• Apply high-availability patterns, distributed systems best practices, and resilience engineering.
• Troubleshoot production issues using CloudWatch, Grafana, ELK/EFK stacks.
• Proven experience as Senior Backend Developer building scalable cloud-native backend systems.
• Expertise in Python, Go, or Node.js, microservices, and backend architecture.
• Experience deploying and integrating LLMs (OpenAI, Claude, HuggingFace).
• Hands-on experience with AWS: EC2, S3, VPC, EBS, Lambda, EKS/ECS.
• Understanding of Docker, Kubernetes, and IaC tools (Terraform, AWS CDK).
• Strong grasp of API design, distributed systems, caching, and scalability patterns.
• Experience with CI/CD, automation, and production-grade monitoring/logging tools.
• Familiarity with NVIDIA GPU environments, CUDA/cuDNN, GPU deployments, or GPU-aware applications.
• AWS or NVIDIA Certifications (CUDA, Deep Learning, GPU Computing).
• Experience with hybrid/multi-cloud systems.
• Experience in regulated industries (BFSI, Healthcare, Telecom) with SOC2, HIPAA, GDPR compliance.
• Experience with HPC, AI agent platforms, inference optimization, or vector DBs.
• Work on cutting-edge AI, LLM, GPU, and cloud-native platforms with global impact.
• Competitive compensation with performance bonuses.
• Flexible hybrid/remote work culture.
• Training budget for NVIDIA, AWS certifications, conferences, and workshops.
• Fast-paced, innovative team solving next-generation cloud + AI challenges.
ContactVerse.ai is an AI-native platform company pioneering the future of intelligent customer experience systems. Our products and frameworks combine conversational AI, large language models, and cloud-native infrastructure to enable enterprises to build, deploy, and scale next-generation contact center solutions. With a mission to connect human empathy and machine intelligence, ContactVerse.ai empowers businesses worldwide to deliver seamless, adaptive, and context-aware customer interactions.
www.contactverse.ai
https://www.contactverse.ai/jobs/senior-backend-developer
CONTACTVERSE.AI
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