Sr. Backend Software Engineer
Shopping Graph
Confirmed live in the last 24 hours
Slickdeals

51-200 employees

Community-driven platform for vetting and sharing deals
Company Overview
Slickdeals, a leading shopping site in the U.S., leverages the power of community and human intelligence to ensure consumers get the best deals, with its 12 million users vetting and voting for top products from renowned retailers. The company has saved its users a staggering $10 billion, demonstrating its significant competitive advantage in the market. Its culture of collaboration, coupled with technical tools like a free app, browser extensions, and a cashback rewards program, make it an engaging and rewarding place to work.
Consumer Goods
Data & Analytics

Company Stage

N/A

Total Funding

N/A

Founded

1999

Headquarters

San Mateo, California

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-25%

2 year growth

-16%
Locations
San Mateo, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Python
JavaScript
Airflow
NoSQL
Data Science
Apache Kafka
Java
Docker
TypeScript
AWS
Google Cloud Platform
CategoriesNew
Software Engineering
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or related engineering field
  • Proficiency in programming languages such as Python, Javascript, Typescript, Go or Java
  • Understanding of data storage and retrieval technologies in relational or NoSQL databases
  • Excellent problem-solving skills and a passion for delivering high-quality data solutions
  • Ability to diagram, articulate, and document data science and engineering concepts
  • Strong communication and collaboration skills
Responsibilities
  • Architect and Develop Backend Systems
  • Data Curation and Data Intelligence
  • Performance Optimization
  • Collaboration with cross-functional teams
  • Quality Assurance
  • Documentation
  • Mentorship
  • Stay Current
Desired Qualifications
  • Experience with asynchronous or event based systems. Working experience with Kafka or AWS SQS
  • Experience with cloud technologies in AWS or GCP as well as container systems such as Docker or Kubernetes
  • Experience with data modeling, ETL processes, and data warehousing
  • Familiarity with orchestration tools such as Apache Airflow or AWS step functions