Staff Software Engineer
Build scalable Python backends, APIs, infrastructure, and SQL intelligence systems powering AI-driven data operations. The role requires 10+ years of backend experience and expertise in cloud platforms, containerization, databases, and distributed systems.
About the job
Responsibilities
- Build and maintain backend infrastructure powering large language model architectures, including RAG, ReAct, and agent-based systems.
- Architect data pipelines for extensive datasets and develop AI-powered endpoints for a SaaS application and VSCode extension.
- Design and develop large-scale graph-based data structures that model complex data stores for AI context, with a focus on scalability and performance.
- Lead development of a SQL intelligence system covering query optimization, dynamic pipeline generation, and data lineage tracking.
- Apply SQL query profiling, AST analysis, and parsing to improve query performance and implement column-level lineage.
- Contribute to open-source initiatives.
Requirements
- 10+ years of experience building Python-based web application backends and the infrastructure on which they run.
- Extensive experience building scalable backend systems, APIs, and microservices.
- Deep understanding of cloud platforms such as AWS, Azure, and Google Cloud.
- Experience with containerization technologies, including Docker and Kubernetes.
Nice-to-haves
- Experience with FastAPI for high-performance APIs.
- Familiarity with AI and machine-learning concepts, particularly large language models (LLMs).
- Strong proficiency in SQL, including query profiling, optimization, and performance tuning.
- Experience with SQL abstract syntax tree (AST) analysis and SQL parsers such as sqlglot.
Benefits
- Work on innovative AI and data-engineering technologies.
- High-visibility work affecting data teams worldwide.
- Opportunities to contribute to open source.
- Exposure to state-of-the-art generative AI applications and career growth in AI.
Skills
Python, FastAPI, SQL, AWS, Azure, GCP, Docker, Kubernetes, Microservices, REST APIs, LLMs, RAG, React, Sql Ast, Sqlglot
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