Principal Backend Engineer

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DATAMAXIS, Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

DATAMAXIS, Inc is a company that specializes in transforming big data into actionable insights for competitive advantage, market growth, and customer satisfaction. They provide services in artificial intelligence, machine learning, digital transformation, cyber security, and analytics. DATAMAXIS helps organizations use data to make informed decisions, minimize cyber risks, and digitize business processes. The company offers data engineering, data governance, business intelligence, data monetization, cloud solutions, and strategic staffing services. With expertise in both traditional and modern data architectures, DATAMAXIS supports various industries including insurance, automobile, and government sectors. They are also known for their cyber security analytics solutions which help protect against intrusions and data loss, while complying with security requirements for government organizations.

📋 Description

• Own end-to-end backend architecture for the AI platform • Architect and evolve AI pipelines • Enhance and harden the unified LLM provider layer • Design the distributed worker system for heavy pipeline execution • Lead the AWS deployment architecture • Define and enforce API design standards • Own the PostgreSQL schema for extraction metadata • Implement secure service-to-service communication • Instrument the platform with structured logging and alarms • Mentor senior engineers and conduct architecture reviews

🎯 Requirements

• 12+ years of backend engineering experience • Expert-level Python proficiency • Hands-on experience with FastAPI, SQLAlchemy, and async programming • Proven experience designing and operating microservices • Strong PostgreSQL expertise • Hands-on AWS production experience • Experience integrating LLM APIs in production • Experience with container-based deployments using Docker • Strong API lifecycle management skills • Practical knowledge of distributed system patterns • Security engineering fundamentals • Prior experience building developer platforms or AI/ML serving platforms

🏖️ Benefits

• Flexibility in work hours • Opportunity for professional development