▷ Immediate Start Solution Architect

4 days ago

Mumbai, India Yotta Infrastructure Full time

Job Description Architecture & Design Leadership - Define and lead the overall solution architecture, component boundaries, APIs, data flows, and cloud/service integrations. - Architect microservices-based, API-first backends for both platforms. - Design for multi-tenancy, RBAC, internationalization, and privacy-by-design. - Implement collaboration frameworks (e.g., CRDT/OT), version control, and rollback systems. - Lead architecture for LLM/AI agent integration: inference pipelines, caching, prompt orchestration. - Set technical standards for cloud infrastructure, containerization (Docker, K8s), and ML ops tools (MLflow, Airflow, etc.). Technical Oversight & Execution - Provide mentorship and code/architecture reviews across backend, frontend, DevOps, and AI teams. - Oversee integration of AI/ML pipelines into product features. - Drive decisions on data lifecycle: versioning, lineage, cataloging, and secure flows. - Ensure effective API gateway design and service discoverability. - Define the roadmap for third-party integrations (Zapier, Figma, payments, cloud). Performance, Scalability & Security - Architect for scale: sharding, caching, horizontal scaling, and efficient API performance. - Ensure high availability, disaster recovery, and graceful failover mechanisms. - Implement compliance frameworks (SOC2, GDPR, ISO), secure tokenization, audit logging. - Oversee authentication/authorization: OAuth2, SAML, MFA, RBAC. Cross-Platform Integration & Product Synergy - Create a shared foundation across platformsuser management, services, and data models. - Enable plugin architecture and future extensibility. - Collaborate with Product, UX, and research teams (AI/ML, NLP, HCI) to align tech with product goals. Delivery, Documentation & Continuous Improvement - Run whiteboarding sessions, design reviews, and architecture alignment meetings. - Maintain architecture documents, diagrams, and decision logs. - Track system KPIs: uptime, latency, inference time, error rates. - Proactively identify and resolve architectural risks or tech debt. - Foster a culture of innovation, quality, security, and agility. Requirements & Skills - 10+ years of software engineering experience, with 4+ years in complex cloud-native architecture. - Proven success designing microservices/SOA for scalable AI/ML platforms. - Strong knowledge of no-code builders or MLOps systems. - Hands-on with: - Cloud: AWS, GCP, Azure - Containers & Orchestration: Docker, Kubernetes - ML Pipelines: MLFlow, Airflow, Kubeflow - Security: OAuth2, SAML, RBAC, GDPR compliance - CI/CD, Monitoring, Logging - Experience integrating LLMs, prompt management, and agent orchestration. - Built systems handling millions of users and/or enterprise-scale workloads. - Excellent communication, documentation, and leadership skills. Desirable Skills - Integration experience with tools like Figma, Zapier - Familiarity with blockchain-based data security or token systems - Prior experience in AI-powered drag-and-drop builders or agentic SaaS tools - Experience in distributed, fast-paced startup environments Success Metrics - Robust MVP launch with minimal tech debt - High system availability, extensibility, and reliability - Smooth AI/ML feature integration with low-latency inference - Rapid onboarding of developers and users with scalable architecture

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