Job Description

 We are seeking a Senior Backend / Platform Engineer to lead the design and development of Python-based distributed backend systems running on AWS cloud infrastructure, including vector retrieval services powered by Aurora PostgreSQL (pgvector).

You will play a key role in architecting and implementing multi-tenant SaaS backend platforms, workflow orchestration services, and scalable knowledge retrieval systems that power enterprise-grade AI applications.

You will lead the development of the core backend platform powering an enterprise multi-tenant conversational AI system, including vector retrieval infrastructure and orchestration services that support production-scale AI deployments.

Job Requirements

 Platform Architecture & Backend Development

• Design and implement scalable backend services using Python (FastAPI / asynchronous frameworks)
• Architect and develop multi-tenant control plane and runtime services
• Build event-driven and workflow orchestration systems supporting conversational automation
• Lead system design for high-availability, distributed backend platforms
• Define backend engineering standards, architecture patterns, and scalability strategies

Vector Database & Knowledge Retrieval Systems

• Design and operate vector retrieval systems using Aurora PostgreSQL (pgvector)
• Build ingestion pipelines for document processing, embedding generation, and indexing
• Develop high-performance semantic search and hybrid retrieval services
• Implement multi-tenant data isolation strategies for vector search systems
• Optimize indexing, retrieval latency, and query performance at scale

AWS Cloud Platform Integration

• Design backend services optimized for AWS environments (EKS/ECS, RDS/Aurora, S3, ElastiCache)
• Lead architecture decisions for scalable and resilient cloud deployments
• Collaborate with DevOps teams to define infrastructure and deployment automation strategies
• Support observability integration (logging, tracing, metrics)

Governance, Security & Reliability

• Design secure backend architectures supporting enterprise-grade authorization and policy enforcement
• Implement data isolation, retention, and compliance-aware storage strategies
• Ensure backend services meet high standards for performance, availability, and reliability

Technical Leadership

• Mentor backend engineers and provide technical guidance across backend architecture
• Participate in architecture reviews and major technical decision-making
• Drive best practices in code quality, testing, and platform reliability
• Collaborate cross-functionally with AI/ML, DevOps, and product teams

  Required Qualifications 

• 5+ years experience building backend platforms or distributed systems
• Strong proficiency in Python backend development (FastAPI / Flask / Django)
• Experience designing distributed microservices architectures
• Hands-on experience with AWS cloud platforms (EKS/ECS, RDS/Aurora, S3, IAM)
• Experience working with PostgreSQL, including performance optimization
• Strong understanding of multi-tenant SaaS architecture patterns
• Experience designing high-availability, scalable backend systems

Preferred Qualifications

• Experience working with vector databases (pgvector, OpenSearch vector, etc.)
• Experience building semantic search or RAG (retrieval augmented generation) systems
• Familiarity with AI / LLM platform integration
• Experience with event-driven architectures and workflow orchestration systems
• Experience designing enterprise-scale backend platforms
• Familiarity with container orchestration platforms (Kubernetes)

Skills