Senior AI Platform Engineer — Secure Data & Insights

aura798; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

aura798 in the United States seeks a senior software engineer to architect and build core services for an AI platform that securely handles sensitive data. You will shape system design, guide implementation, and own production operations across distributed components.

You will mentor engineers, define security and privacy practices, and select scalable technologies. Experience shipping large distributed systems and clear communication with cross-functional teams are essential.

Qualifications

• 5+ years of software engineering experience with distributed systems.
• Experience owning complex systems from architecture to production.
• Strong fundamentals in design, algorithms, data structures, and distributed systems.
• Cloud architecture judgment across compute, databases, queues, caches, and data pipelines.
• Experience building systems that handle sensitive or regulated data securely.
• Clear communication across technical and non-technical teams; degree or equivalent experience.

Responsibilities

• Design and document scalable platform components, and guide their technical direction.
• Lead complex projects from early requirements through launch and ongoing improvement.
• Build trusted data foundations and services that turn analysis into relevant user insights.
• Define how AI agents access sensitive information, using controls such as least privilege and isolation.
• Choose technologies with attention to scale, cost, and operational simplicity.
• Set engineering practices for security, privacy, observability, and testing; mentor engineers on design and reliability.

Skills

Distributed systems

Architecture design

Cloud services

Mentoring engineers

Security and privacy

Effective communication

Education

Bachelor's degree or equivalent

Tools

AWS

Infrastructure as Code (Terraform)

Job description

aura798 in the United States seeks a senior software engineer to architect and build core services for an AI platform that securely handles sensitive data. You will shape system design, guide implementation, and own production operations across distributed components.

You will mentor engineers, define security and privacy practices, and select scalable technologies. Experience shipping large distributed systems and clear communication with cross-functional teams are essential.