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Associate Software Engineer

StockXOnsite

Help empower our global customers to connect to culture through their passions.


Why you’ll love this role:


The Sell Team builds tools and experiences to help casual and professional sellers alike, from around the world, list, manage, sell, and ship their products. The team is charged with growing the selling side of our business and ensuring a healthy marketplace for sellers and buyers.  

What you’ll do:


  • Collaborate with a team of low-ego, top-level engineers, to build the next-generation scalable, high-throughput platform for the rocketship that is StockX
  • Own our solutions start to finish. You will be working on an engineer-driven team: we define our solutions, we break projects down into bite-sized chunks, we set milestones for ourselves, we document our services for our needs, we build our systems to our designs, we make sure they are tested, we make metrics that give us the insight we need, and yep we support our production operations
  • Research and implement cutting edge technology that can be applied to handle massive scale
  • Contribute to a healthy, collaborative culture where we continuously learn, continuously adapt, and improve together. You’ll bring your experience and lessons from past jobs - and get a chance to help define how our team operates
  • Tackle the toughest technical challenges at StockX. You will work on high impact projects, with massive scale, and massive dollar values attached to them.
  • Contribute meaningfully to the success of StockX

About you:


  • 1-3 years of relevant development experience 
  • Experience with distributed architecture. Proficiency in one or more back-end languages used by the team (NodeJS, GoLang) or equivalent experience in another language and a willingness to learn and get up to speed quickly
  • Excellent analytical, organizational and communication skills. Ability to say No 
  • Experience with data storage technologies, both relational and NoSQL
  • Experience with event-based architecture and with related technologies like kafka, SNS, SQS etc. 
  • Experience with cloud platforms - Azure, AWS or Google Cloud Platform 
  • Experience with working in an Agile environment
  • Ability to work in a fast paced and constantly changing environment 
  • Bachelor’s degree in Computer Science, Computer Engineering or a related technical field preferred

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.Pursuant to the various pay transparency laws/acts, the base salary range is $80,000 to $100,000 plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses.

Compensation is dependent on geography and may vary.

About StockX


StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position.

StockX reserves the right to amend this job description at any time.

Life at StockX

Come change the game. We?re a live marketplace for buying and selling limited edition sneakers, watches, handbags, and streetwear. From Yeezy to Louis Vuitton to Rolex to Supreme, StockX has you covered, giving you unprecedented access to the ?new luxury? economy. Our company values are broken down into what we call the Four T?s: Trucks. Trenches. Transparency. Transformation. They stand for making deadlines, being a team player, over-communicating everything, and turning everyone we work with into die-hard StockX fans. Each is a foundational tenet of not just our business, but the entire StockX culture. And as such they are an embodiment of what has made StockX one of the fastest growing startups in the country. Working at StockX today is like if you worked at Nike in 1964. It'd have been Phil Knight, Bill Bowerman, you and some waffle irons. And together you were about to change the world. We don't have waffle irons, but you can bring your own if you want.
Thrive Here & What We Value1. Startup culture where ambiguity inspires creativity2. Hypergrowth company expanding globally3. Equal opportunity employer that values diversity4. Customer-centric culture focused on serving customers as core5. Emphasis on teamwork and collaboration across different areas of the business6. Focus on three areas: customer, team member, and company7. Empowering global customers to connect to culture through their passions8. FastPaced and High-Growth Environment9. Dynamic Pricing Mechanics10. Access and Market Visibility Powered by RealTime Data

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