SupportLogic

Architect

SupportLogic

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

SeniorLead

Tech Stack

AWSCloudETLGoogle Cloud PlatformPostgresPythonRDBMSReactRedis

About the role

  • About SupportLogic SX platform that elevates customer service experience by leveraging NLP and ML Architect scalable data systems that handle large-scale ingestion, transformation, and serving pipelines with high uptime and low latency Design and evolve multi-tenant vs. single-tenant patterns (per-customer VPC deployments, shared services, and hybrid architectures) Guide system design for APIs, backend services, and streaming pipelines built on Python, FastAPI, PostgreSQL, Redis, Pub/Sub and cloud platforms (GCP/AWS) Integrate Retrieval-Augmented Generation (RAG), LangGraph, and PydanticAI to power AI-driven features and ensure production-grade reliability Define security, compliance, and data privacy strategies across HIPAA, GDPR, and enterprise governance requirements Optimize performance of critical workloads including OLTP (transactional), OLAP (analytics), and ML model pipelines Mentor engineers on design best practices, performance tuning, and systems thinking; conduct code and architecture reviews Influence product direction by translating complex customer and internal requirements into scalable platform capabilities Champion engineering culture by promoting transparency, technical excellence, and best practices in DevOps, CI/CD, and observability

Requirements

  • 10+ years of experience in software engineering, with at least 3+ years in an architectural or principal engineering role Strong background in Python and building backend services with FastAPI or similar frameworks Deep expertise with PostgreSQL (or similar RDBMS) including schema design, query optimization, and scaling strategies Experience with Pub/Sub or messaging systems, Redis, and high-throughput ETL/ELT pipelines Hands-on experience with cloud platforms (GCP preferred, AWS acceptable) and designing secure, multi-tenant architectures Working knowledge of React-based frontends and API design for seamless client/server integration Familiarity with ML/AI integration in production systems: RAG, LangGraph, orchestration of AI agents, vector databases, etc Strong understanding of security, compliance, and cost-optimization in distributed architectures Proven ability to lead design reviews, mentor teams, and collaborate across engineering, data science, and product Startup or growth-stage company experience preferred