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Senior Software Engineer, Backend (Python, Node.js, AWS, Postgres)

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New York, NY, United States · Tech · Mid-Senior Level

✓ Direct ATS✓ Not duplicate

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GGlean Labs
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Glean Labs

Job description

About the role

Company Description Glean is injecting intelligence into expense management. Founded by fintech veteran and seasoned CFO Howard Katzenberg, Glean is an AI-powered spend intelligence solution that saves SMBs money by analyzing expense drivers and finding line-item level insights overlooked by most accounts payable solutions, which are focused on speeding up payment cycles rather than optimizing vendor spend. Over time, our mission is to become the all-in-one spend management solution for SMBs that uses AI to: analyze spend, manage approval and payment workflows, identify anomalous spend & savings opportunities, benchmark spend performance vs. peers, find & negotiate savings with vendors, and forecast future expense trends. Glean will be every finance team’s best friend! Join us! Job Description You will build the core logic, systems, and infrastructure for the product, including the analytics engine, workflow management, and collaboration tools. You will also be expected to push for a high standard of execution throughout the product and the company. We're a small, highly focused team. You must be a strong collaborator who consistently delivers. You need to own large parts of the product, work autonomously, and make pragmatic decisions that will help us deliver a world-class experience to our customers.

Requirements

  • You have 3+ years of backend or full-stack experience
  • You have shipped production APIs in Python and/or serverless functions in JavaScript
  • You are very familiar with AWS, specifically Lambda, RDS, and ECS
  • You practice DevOps, ChatOps, GitOps, and Infrastructure-as-Code
  • You have a BSCS, MSCS, or equivalent work experience
  • Additional Information
  • Remote OK, Work From Home (WFH) OK.
  • You have worked as a site reliability engineer (SRE)
  • You are familiar with OCR, MLOps, or data engineering

Tech stack

PythonJavaScriptNode.jsAWSPostgreSQL