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4.0 - 8.0 years

7 - 17 Lacs

Navi Mumbai

Remote

Job Title: Cloud & Platform Engineer AI Agent & Platform Deployment (GCP Preferred) Location: Remote / Hybrid (India preferred) About the Role: We are building an enterprise-ready AI agent and AI framework. This role is central to the success of the platform — you'll lead the design, deployment, and scaling of cloud-native infrastructure, enabling smooth operation of the agent across GCP and other cloud providers. You’ll work closely with AI engineers, product managers, and QA leaders to operationalize an LLM-based stack integrated with enterprise tools like Jira, Zephyr, and Selenium. Key Responsibilities: Design and deploy secure microservice-based architecture (Docker, Kubernetes, API Gateway) Build and manage CI/CD pipelines across cloud environments (GCP, AWS, Azure) Orchestrate cloud-native LLM endpoints (e.g., OpenAI, Claude, PaLM) Integrate external APIs securely (OAuth2 flows with Jira, TestRail, etc.) Manage vector DBs (Pinecone, FAISS, or Weaviate) and inference caching (Redis/in-memory) Set up observability: logging, alerting, audit trails (Cloud Logging, Prometheus, etc.) Implement TLS, JWT auth, secret management (Vault, Secret Manager) Optimize cost and scalability across multi-agent workflows Required Skills: 3–6 years in cloud infrastructure engineering or DevOps Proven experience with: Google Cloud Platform (GCP) Kubernetes & Docker API gateways (NGINX/Istio/Kong) Familiarity with modern LLM stacks (LangChain, Haystack, OpenAI APIs) Strong understanding of OAuth2, JWT, HTTPS/TLS, role-based access GitOps-style CI/CD (Cloud Build, GitHub Actions, ArgoCD) Nice to Have: Knowledge of LLMOps or MLOps principles Prior experience with test automation tools (Selenium, Playwright) Background in working with QA or developer productivity tools Contributions to open-source infra tools or AI orchestration frameworks Why Join Us? Be a founding infra engineer on an enterprise AI platform Work on the intersection of cloud, AI agents, and enterprise automation Fast-paced execution, ownership from day one, and cross-functional collaboration

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