SupportLogic

Backend Engineer

• Managing the environment that allows to onboard new customers
• Automating data science processes
• Configuring deployments of different environments
• Working collaboratively across functions

Architect

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