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Software Engineer-II

Spreetail • Logistics • Warehousing • Python • 1 year ago

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Salary

≈ $13k – $32k per year (Estimated)

Location

Remote (India)

Seniority

Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Sep 23, 2025. Spreetail scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Spreetail

Spreetail is an American ecommerce company founded in 2006 that sells products from consumer brands on marketplaces such as Amazon, Walmart and eBay, taking over listing, pricing, advertising, inventory and fulfillment for its brand partners. It operates its own fulfillment centers in the United States and has staff in the Philippines and Pakistan. The company is headquartered in Lincoln, Nebraska, United States.

spreetail.com • HQ: Lincoln, United States • Warehousing • E-commerce Marketing • Logistics • 51-200 employees • Est. 2006

Tech stack of Spreetail

Our teams build scalable, reliable, and cutting-edge software to propel Spreetail to being a top ecommerce company. We are seeking motivated individuals who are passionate about learning new technologies and building software to build a monster e-commerce company. If you are looking for an environment that provides creative freedom, work-life balance, and meaningful relationships, keep scrolling down.

This position is remote in India

This position will be remote in the country of India and will work Monday-Friday during India hours.

How you will achieve success:

Deliver high-quality engineering for Merch Tech tools impacting GMV/EBITDA.
Build workflows, APIs, and integrations for merchants (GMV Bridge, Listings, Returns).
Partner with Design (Antriksh) and Aditya (SDE2 peer) for execution.
Demonstrate coding velocity, problem-solving, and ownership.
Build end-to-end full-stack applications and/or build scalable solutions used by huge brands.

What experiences will help you in this role:

3-5 years of engineering experience.
Strong full-stack skills: Python, React, Django frameworks.
Familiarity with LLM APIs and workflow automation tools. Familiarity with NLP/AI APIs is helpful.
High execution speed, outcome-driven mindset.
Ability to validate ideas using quick experiments.

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