Senior Data Intelligence Software Engineer

Axion

San Francisco (CA)

On-site

USD 190,000 - 260,000

Full time

2 days ago
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Benefits offered by this job

Generous time off
Competitive compensation
Lunch stipend

Job summary

Axion in San Francisco is hiring a Senior or Staff Software Engineer to lead our agile backend teams. You’ll design scalable agentic systems, build backend services and data-processing workflows that transform unstructured customer data into reliable outputs.

You’ll help shape the architecture of our APIs, databases, cloud infrastructure, and LLM-powered and agentic systems while improving their reliability, observability, and performance.

Qualifications

  • 6+ years of professional software engineering experience, including building and operating production backend or data-intensive systems.
  • 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 engineering
Distributed systems
Data warehousing
Cloud platforms

Tools

Docker
Kubernetes
GCP
Datadog

Job description

Axion in San Francisco is hiring a Senior or Staff Software Engineer to lead our agile backend teams. You’ll design scalable agentic systems, build backend services and data-processing workflows that transform unstructured customer data into reliable outputs.

You’ll help shape the architecture of our APIs, databases, cloud infrastructure, and LLM-powered and agentic systems while improving their reliability, observability, and performance.

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