Staff Software Engineer: Data Intelligence & AI Platforms

AXION

New York (NY)

On-site

USD 170,000 - 260,000

Full time

2 days ago
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Benefits offered by this job

Cutting-edge AI
Collaborative team
Generous time off
Competitive compensation & equity
Lunch stipend

Job summary

Axion is hiring a Staff Software Engineer to lead our agile backend teams. You’ll design and build scalable agentic systems, backend services, and data-processing workflows that convert complex, unstructured data into reliable outputs.

You’ll shape the architecture of APIs, databases, cloud infrastructure, and LLM-powered systems, while improving reliability, observability, and performance. Collaborate with engineering, product, and customer-facing teams to translate business needs into

Qualifications

  • 8+ years of professional software engineering experience
  • Strong knowledge of data warehousing concepts
  • Experience designing distributed systems, asynchronous workflows, and reliable data-processing services
  • Experience deploying and operating containerized applications on a major cloud platform

Responsibilities

  • Design and evolve scalable AI powered systems that move, transform, and enrich data across products
  • Partner with product, engineering, and customer-facing teams to translate business needs into scalable technical solutions
  • Own the reliability and delivery of cloud-native services, including deployment, observability, scalability, and production support
  • Mentor engineers and lead cross-team technical initiatives from architecture through production

Skills

Backend systems
Distributed systems
Data warehousing
Cloud deployment
Containerization

Tools

GCP
Datadog

Job description

Axion is hiring a Staff Software Engineer to lead our agile backend teams. You’ll design and build scalable agentic systems, backend services, and data-processing workflows that convert complex, unstructured data into reliable outputs.

You’ll shape the architecture of APIs, databases, cloud infrastructure, and LLM-powered systems, while improving reliability, observability, and performance. Collaborate with engineering, product, and customer-facing teams to translate business needs into

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