Staff Software Engineer

🕒 March 27

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Spiritual Data

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

⚡ Productivity

Artificial Intelligence • SaaS • Productivity

Spiritual Data is an advanced analytics platform that empowers data teams through the use of artificial intelligence to enhance productivity and efficiency. Their tools, such as DataPilot, aim to automate and optimize data management tasks, revolutionizing how data engineering teams operate. By providing AI-driven insights and recommendations, Spiritual Data enables teams to improve their data documentation, quality testing, and query handling, resulting in significant cost savings and operational improvements. The company focuses on aiding analytics, platform, and data engineers by integrating their solutions seamlessly into daily workflows and popular platforms like VSCode, Python, and Slack, offering tools that auto-generate models, conduct tests, and provide documentation. Spiritual Data is a trusted solution among leading enterprises, offering robust security features without compromising on AI functionality.

📋 Description

• Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures • Design and develop large-scale graph-based data structures that effectively model complex data stores • Lead the design and development of a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking • Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies • Directly affect the productivity and capabilities of global data teams

🎯 Requirements

• 10+ years of experience building Python-based web application backends and the infrastructure on which they run • Extensive experience in building scalable back-end systems, APIs, and microservices • Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) • Experience with FastAPI for building high-performance APIs (Preferred) • Familiarity with AI and machine learning concepts, particularly in the context of Large Language Models (LLMs) (Preferred) • Strong proficiency in SQL, including query profiling, optimization, and performance tuning (Preferred) • Experience with SQL Abstract Syntax Tree (AST) analysis and working with SQL parsers (e.g., sqlglot) (Preferred)

🏖️ Benefits

• Competitive salary and equity • Extensive professional development opportunities and resources for continuous learning • Dynamic and intellectually stimulating work environment with a team of talented engineers • Opportunities to shape the direction of the company and leave a lasting impact