Staff Engineer

Company: Mercari

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Enterprise

Company Type: Product

Business Model: C2C

Funding Stage: Series D+

Industry: Information Technology

Job Description

We are looking for an experienced Senior/Staff Software Engineer to design, build, and scale large-scale consumer internet products in cloud-native environments. You will play a key role in building reliable, high-performance distributed systems and influencing architecture across multiple teams.

Must-have

• Bachelor’s or Master’s degree in Computer Science or related technical field
• Strong command of multiple programming languages and middleware
• At least 8+ years of experience in a variety of hands-on software/technology roles, preferably in Consumer Internet Products & Solutions in the cloud.
• Deep experience building and running distributed systems in cloud-native environments (GCP, Kubernetes).
• Proven projects & results in building of large product surfaces — not just services, but customer-visible outcomes.
• Strong system design, data modeling, and production debugging skills. Experience in building systems with 99.95 uptime
• Ability to influence architecture across multiple teams without formal authority.
• Exceptional written and verbal communication in pursuit of driving the mission forward.
• Influencing skills in balancing short and long-term objectives including technical and business outcomes.
  
  

• Experience with search, personalization, or data platforms (e.g., Elasticsearch, event streams, ML pipelines).
• Fluency with React-based frontends and forward-looking API design patterns.
• Prior work in high-scale consumer platforms (in terms of qps/traffic & complexity).
• Experience driving platform or tech simplification.
• Ability to build an environment for clear and open discussion of all issues You involve the right people, from your team and others, to resolve critical issues
  
  

• Company-specific domains (commerce, growth, logistics, subscriptions).
• New AI-native engineering workflows and tools.
• Internal product and data platforms