Staff Software Engineer: AI-Driven Backend & Platform Leader

Datasite

Minneapolis (MN)

Hybrid

USD 170,000 - 297,000

Full time

3 days ago
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Job summary

Datasite is hiring a Staff Software Engineer to build and operate production systems at scale. You will shape architecture for secure, reliable platforms and collaborate with Product, ML, and Services teams to deliver high-impact solutions.

You will lead with pragmatic architecture decisions, mentor engineers, and drive AI-assisted development practices while maintaining ownership of shipped software.

Qualifications

  • Seasoned software engineer with production systems experience.
  • Deep expertise in backend/platform/distributed systems or full-stack engineering.
  • Expert programming ability in Python, Java, TypeScript or Kotlin.
  • Extensive experience architecting and operating production APIs, services, data platforms, and event-driven architectures.
  • Fluency with AI-assisted development tools and agentic coding workflows.
  • Excellent product sense and technical judgement with stakeholder influence.
  • Exceptional written and verbal communication; ability to align teams on decisions.

Responsibilities

  • Own outcomes for a product domain across multiple teams; define strategy and roadmaps.
  • Define architecture for scalable APIs, data platforms, and event-driven systems; lead complex projects.
  • Raise engineering standards with reusable platforms and documentation; reduce technical debt.
  • Make high-leverage technical decisions with cross-organizational impact on security, performance, cost, and scalability.
  • Collaborate with product, design, ML, and client success to translate goals into multi-quarter plans.
  • Define AI-assisted and agentic development adoption, with guardrails and ownership.

Skills

Backend engineering
Distributed systems
Full-stack engineering
Python
Java
TypeScript
Kotlin
AI tooling

Tools

MongoDB
AWS
Azure
Google Cloud

Job description

Datasite is hiring a Staff Software Engineer to build and operate production systems at scale. You will shape architecture for secure, reliable platforms and collaborate with Product, ML, and Services teams to deliver high-impact solutions.

You will lead with pragmatic architecture decisions, mentor engineers, and drive AI-assisted development practices while maintaining ownership of shipped software.

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