Company
StockX
Grow a career on the cutting edge of culture. Working for the company selling the hottest brands and products around the world lets you witness culture in real time. It’s an exciting place to be, whether you’re into current culture products or not.
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Departments (6)
Offices (7)
Total jobs
4
open positions
Departments
1
hiring across
New today
0
last 24 hours
Worldwide
0
remote listings
4
positions
Software Development Engineer in Test
StockX
Bangalore, India
Engineering & Technology
1w ago
Senior Data Engineer
StockX
Remote, USA
Engineering & Technology
1w ago
Senior Data Engineer
StockX
Detroit, MI
Engineering & Technology
1w ago
AI Automation Engineer
StockX
Bangalore, India
Engineering & Technology
3w ago
Pick a job to read the details
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Help empower our global customers to connect to culture through their passions.
Why you’ll love this role
As a Software Development Engineer in Test, You will be part of a highly dynamic and innovative quality engineering team working on the latest technologies in an exciting fast-growing company. We are looking for a mid-level Software Development Engineer in Test (SDET). You will be responsible for finding, analyzing, and reporting defects and other software issues. SDET will work collaboratively with the development and product management teams to ensure our software is free of defects and meets established quality standards and system requirements. Your primary focus will be manual testing as well as automated testing. The successful candidate possesses a strong sense of curiosity, demonstrates attention to detail, problem-solving skills, and an interest in continuous learning.
The Finance Services Team (FST) in StockX takes care of evaluating the price of a product which varies across regions in a global marketplace due to currency, taxation and various factors. The team is responsible for computing taxes, determining currency fluctuations and finalising the price of any product sold on the platform
What you’ll do
- Collaborate with engineers and product managers to deliver high-quality products
- Perform functional, regression, and smoke testing on new and existing products
- Review functional and technical documentation to define requirements and create clear, well-structured test cases and plans, ensuring they align with business needs and best practices.
- Execute manual test cases and report test results by performing comprehensive testing: functional regression, end-to-end, database, web services, etc as desired
- Drive software testing best practices, including performance, load, and security testing
- Develop, maintain, and execute automated test cases within existing frameworks (preferably using AI)
- Apply GitHub best practices and work within CI/CD processes
- Work with the organisational QA team to build product knowledge, resolve challenges, and share results
- Design, create, document, and implement test strategies, automation, tools, and processes
About You
- 3+ years experience with object-oriented programming languages and techniques: Golang, Node, TypeScript, JS, Java, RDBMS, Rest APIs
- 3+ years of experience developing and maintaining test automation for Backend (predominantly), Web & Mobile Applications
- Excellent written and verbal communication and presentation skills
- Experience working in an Agile Scrum QA environment
- Mentor junior members of the team
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. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.
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Help empower our global customers to connect to culture through their passions.
Why you'll love this role
As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.You will partner with accounting and finance business teams in expanding Financial Data Repository to support new business initiatives. Sr Data Engineer of Finance Data Repository is most challenging and exciting role to work for, with new business initiative launches in payments, finance , tax and ordering platform. Its highly critical to manage the changes on daily basis for proper accounting to keep our books clean and accurate.
What you'll do
- Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation
- Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders
- Build and support reusable framework to ingest, integration and provision data
- Automation of end to end data pipeline with metadata, data quality checks and audit
- Build and support a big data platform on the cloud
- Define and implement automation of jobs and testing
- Optimize the data pipeline to support ML workloads and use cases
- Support mission critical applications and near real time data needs from the data platform
- Capture and publish metadata and new data to subscribed users
- Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session
- Participate in design and code reviews
- Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform
About you
- 5 to 7 years experience in data warehouse / data lake house technical architecture
- 3+ years of experience in using programming languages (Python / Scala / Java / C#) Minimum
- 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming)
- Minimum of 2 years' experience with AWS or engineering in other cloud environments
- Strong Knowledge of Databricks SQL/Scala - Data Engineering Pipelines
- Experience with Database Architecture/Schema design
- Strong familiarity with batch processing and workflow tools such as dbt, AirFlow, NiFi
- Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
- Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
- Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Bachelor's degree in Computer Science, or a related technical field
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 Colorado Fair Pay Act, the base salary range in Colorado for this position is $140,000 to $160,000, plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses. Compensation in other geographies 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. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.
Ready to apply?
Apply to StockX
StockX
View all jobs →
Help empower our global customers to connect to culture through their passions.
Why you'll love this role
As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.You will partner with accounting and finance business teams in expanding Financial Data Repository to support new business initiatives. Sr Data Engineer of Finance Data Repository is most challenging and exciting role to work for, with new business initiative launches in payments, finance , tax and ordering platform. Its highly critical to manage the changes on daily basis for proper accounting to keep our books clean and accurate.
What you'll do
- Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation
- Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders
- Build and support reusable framework to ingest, integration and provision data
- Automation of end to end data pipeline with metadata, data quality checks and audit
- Build and support a big data platform on the cloud
- Define and implement automation of jobs and testing
- Optimize the data pipeline to support ML workloads and use cases
- Support mission critical applications and near real time data needs from the data platform
- Capture and publish metadata and new data to subscribed users
- Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session
- Participate in design and code reviews
- Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform
About you
- 5 to 7 years experience in data warehouse / data lake house technical architecture
- 3+ years of experience in using programming languages (Python / Scala / Java / C#) Minimum
- 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming)
- Minimum of 2 years' experience with AWS or engineering in other cloud environments
- Strong Knowledge of Databricks SQL/Scala - Data Engineering Pipelines
- Experience with Database Architecture/Schema design
- Strong familiarity with batch processing and workflow tools such as dbt, AirFlow, NiFi
- Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
- Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
- Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Bachelor's degree in Computer Science, or a related technical field
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 Colorado Fair Pay Act, the base salary range in Colorado for this position is $140,000 to $160,000, plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses. Compensation in other geographies 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. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.
Ready to apply?
Apply to StockX
StockX
View all jobs →
Help empower our global customers to connect to culture through their passions.
Why you'll love this role
We are seeking an AI Automation Engineer to design, build, and scale intelligent automation systems that improve operational efficiency, reduce manual effort, and unlock new capabilities across the business.
This role sits at the intersection of engineering, applied AI,workflow automation, and systems integration. You will be responsible for identifying high-impact automation opportunities and delivering production grade AI-driven solutions that integrate seamlessly into our technology ecosystem.
You will partner cross-functionally with Engineering, Operations, Product, Data, and Security, as well as business stakeholders to transform manual and repetitive processes into intelligent, scalable systems.
What you’ll do
- Design & deploy AI powered automation solutions using LLMs, machine learning models, and decision engines.
- Build agent-based systems, prompt pipelines, and retrieval augmented generation workflows.
- Develop autonomous or semi-autonomous systems that can take actions across internal tools and APIs.
- Create scalable workflow automation using APIs, event driven architecture, and orchestration frameworks.
- Integrate AI systems with internal platforms.
- Develop reusable automation components and internal tooling.
- Write clean, maintainable, production ready code.
- Build observability, logging, guardrails, and monitoring into AI systems.
- Ensure reliability, security, and responsible AI implementation.
- Measure performance impact.
- Continuously refine prompts, workflows, and models.
- Identify new automation opportunities across the organization.
- Implement guardrails, access controls, and safety mechanisms.
- Ensure compliance with data privacy and security policies.
- Partner with security teams on safe AI deployment.
About you
- 4+ years of software engineering experience. 2+ years working AI/ML systems, LLMs, or intelligent automation.
- Experience with LLM APIs (OpenAI, Anthropic, etc.)
- Experience in vector databases and RAG systems
- Experience workflow orchestration tools
- Strong programming skills
- Experience building API integrations and distributed systems.
- Experience deploying systems in AWS, GCP, or Azure environments.
- Strong problem solving and system thinking skills
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. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.
Ready to apply?
Apply to StockX
StockX
View all jobs →