XTN-B98D439 | LEAD SOLUTIONS ARCHITECT

.

.•  Health Insurance/HMO 
•  Enjoy unlimited MadMax Coffee
•  Diverse learning & growth opportunities
•  Accessible Cloud HR platform (Sprout)
•  Above standard leaves

Key Responsibilities
• Define and own the enterprise solution architecture strategy aligned with company 
vision and business goals
• Architect scalable cloud-native systems on AWS, including microservices, serverless, 
and containerized workloads
• Design end-to-end architectures integrating backend systems, AI/LLM pipelines, 
vector databases, and frontend applications
• Lead architectural decisions involving MongoDB, relational databases, caching layers, 
and vector search systems
• Architect AI-enabled systems including RAG pipelines, knowledge retrieval 
frameworks, and LLM service integration
• Establish best practices for API design, system integration, security, and performance 
optimization
• Own DevOps architecture including CI/CD pipelines, infrastructure-as-code 
(Terraform/CloudFormation), and monitoring
• Ensure system scalability, high availability, fault tolerance, and disaster recovery 
planning
• Collaborate with engineering, AI, product, and data teams to translate business 
requirements into technical architecture
• Conduct architecture reviews, technical evaluations, and mentor senior engineers

Required Experience & Skills
• 10+ years of professional experience in software engineering and system architecture 
roles
• Proven experience designing and scaling enterprise cloud architectures on AWS
• Strong expertise in MongoDB, relational databases, and distributed data systems
• Experience designing and integrating vector databases (Pinecone, Weaviate, FAISS, 
etc.)
• Strong understanding of microservices architecture, API gateways, and event-driven 
systems
• Experience with containerization and orchestration (Docker, Kubernetes, ECS/EKS)
• Solid knowledge of backend systems (Python, Node.js, or similar modern stacks)
• Experience with AI/ML platform integrations including LLM services and RAG 
architectures
• Strong understanding of security best practices, authentication (OAuth/JWT), and data 
privacy
• Experience implementing observability, logging, tracing, and performance monitoring 
systems
• Strong understanding of distributed systems, scalability, and reliability engineering

.