Staff Software Engineer, Home & Cross-Retailer Search

Role Description

As a Staff Software Engineer on the Home & Cross-Retailer Search team, you will sit at the intersection of retrieval, distributed systems, and machine learning building the infrastructure that determines what tens of millions of Instacart customers see, find, and buy every day.

Define and drive the multi-year technical vision for Home and Cross-Retailer Search infrastructure, spanning retrieval, ranking, indexing, and personalization at scale.

Own the architecture of Instacart's cross-retailer search platform, ensuring correctness, freshness, and low latency as catalog and query volume grows.

Own Home feed ranking and content strategy, retailer selection, and personalized recommendations driven by real-time and batch ML signals.

Partner with ML Platform and Applied Science to productionize ranking models and improve experimentation infrastructure - A/B testing, interleaving, and offline eval.

Accelerate developer velocity across the sub-pillar: reduce time-to-production, build reusable components, and make it easy for product teams to experiment with minimal platform friction.

Set the technical bar through design reviews, reliability standards, latency budgets, and observability practices.

Lead major cross-org initiatives end-to-end, from scoping through rollout and post-launch ownership.

Represent the engineering perspective in product and business planning, translating ambiguous problems into well-scoped technical strategies with clear tradeoffs.

Mentor and grow engineers across Home and XRS teams.

Qualifications

10+ years of software engineering experience, with a track record of leading large-scale distributed systems in production.

Demonstrated experience as a technical lead or architect on cross-team, multi-quarter initiatives driving alignment, making hard tradeoffs, and delivering results.

Deep expertise in backend systems: high-throughput APIs, data pipelines, caching strategies, and storage systems.

Experience building or scaling search, recommendations, or feed-ranking systems at significant traffic volume.

Strong command of system design principles: reliability, fault tolerance, observability, graceful degradation.

Proficiency in one or more of: Ruby, Go, Python, Java, or similar backend languages; comfort across the stack to debug and contribute where needed.

Strong communication skills - able to write crisp technical documents and drive alignment across engineering, product, and business stakeholders.

BS/MS in Computer Science, a related field.

Requirements

Experience at a marketplace or e-commerce platform with complex catalog, inventory, or fulfillment constraints.

Familiarity with ML serving infrastructure, feature stores, and online/offline evaluation frameworks.

Experience with real-time data pipelines (Kafka, Flink, Spark Streaming) and search indexing at scale (Elasticsearch, Solr, OpenSearch).

Track record of improving developer productivity and platform health: reducing p99 latency, improving cost efficiency and cutting incident rates.

Prior work on personalization systems using collaborative filtering, contextual bandits, or session-based signals.

Benefits

Highly market-competitive compensation and benefits in each location where our employees work.

Remote work flexibility under the Flex First remote work policy.

New hire equity grant as well as annual refresh grants.