Staff Software Engineer, Data Intelligence
Staff Software Engineer leading backend and data-intensive systems, including scalable services, AI-powered workflows, cloud infrastructure, and reliability initiatives. Requires 8+ years of software engineering experience and expertise in distributed systems, data processing, and containerized applications.
About the job
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.
Requirements
- 8+ 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.
Nice-to-haves
- Experience building production LLM systems, including multi-step, tool-using, or agentic workflows.
- Experience working at a growing company.
- Experience with Google Cloud Platform and Datadog.
Compensation and Benefits
- Competitive compensation, equity, and benefits.
- Generous time off.
- Lunch stipend.
- Opportunity to work with AI technology applied to manufacturing.
Skills
Backend Development, Data Warehousing, Distributed Systems, Asynchronous Workflows, Data Processing, Cloud Computing, Containerization, GCP, Datadog, LLMs, Ai Systems, Observability
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