Staff Software Engineer, Discovery Platform (Remote)

Whatnot

New York (NY)

Hybrid

USD 230,000 - 290,000

Full time

7 days ago
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Benefits offered by this job

Health Insurance
401k with employer match
Work From Home Support
Parental Leave
Dogfood allowance
Retirement plans (US)

Job summary

Whatnot is hiring a Staff Software Engineer to lead Discovery Platform and product-facing retrieval. You will balance platform reliability and new discovery features, collaborating with ML teams to deploy models with low latency.

You’ll mentor peers and shape roadmaps, working across multiple hubs while staying hands-on with code and architecture. Expect to influence end-to-end systems, improve search quality, and own critical services from design through production.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 8+ years of full-time software engineering experience building large-scale distributed systems.
  • Proven track record leading technical initiatives across teams.
  • Experience designing reliable, low-latency backend systems (search/inference).
  • Experience with OpenSearch/Elasticsearch, Redis, Kafka or similar.

Responsibilities

  • Design and evolve search and serving infrastructure for live traffic.
  • Build retrieval systems enabling safe, fast candidate sourcing.
  • Collaborate with ranking and ML engineers to productionize models and features.
  • Set technical direction for Discovery Platform and partner roadmaps.
  • Own complex systems end to end including ops and on-call.
  • Mentor engineers and raise engineering quality through reviews.

Skills

Distributed systems
Leadership
OpenSearch
Redis
Kafka
Backend engineering
Mentoring
Architecture
On-call
ML collaboration

Education

Bachelor's degree in Computer Science

Tools

OpenSearch
Redis
Kafka

Job description

Whatnot is hiring a Staff Software Engineer to lead Discovery Platform and product-facing retrieval. You will balance platform reliability and new discovery features, collaborating with ML teams to deploy models with low latency.

You’ll mentor peers and shape roadmaps, working across multiple hubs while staying hands-on with code and architecture. Expect to influence end-to-end systems, improve search quality, and own critical services from design through production.

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