Software Engineer II, Technical Search Visibility

Instacart

1d•CA$145,000 - CA$153,000•Remote

About The Position

The Marketing Enablement & Technology (MET) team sits within Instacart's Marketing organization, building the systems, data pipelines, and platforms powering Instacart's growth. Operating at the intersection of Marketing, Product, and Engineering, we own the platforms behind campaign feeds, audience targeting, event pipelines, and QA automation. We're seeking a Software Engineer II for the Technical Search Visibility pod to build features and systems that enhance Instacart's search engine visibility and drive organic traffic — one of our most substantial growth levers. You'll develop full-stack features that improve SEO performance across millions of web pages, contribute to data pipelines that surface optimization insights, and work across our stack to ensure our platform is discoverable by millions of users. You'll deliver features end-to-end, contribute to technical decisions, and partner closely with Marketing and Product to translate growth requirements into scalable solutions.

Requirements

2–4 years of software engineering experience with proficiency in React, Ruby, Python, PostgreSQL, and SQL.
Demonstrated ability to build and launch complete features end-to-end with minimal oversight, including development, experimentation, and production rollout.
Experience with distributed systems and data engineering — designing pipelines, optimizing schemas, and ensuring data quality — with exposure to Airflow or DBT.
Ability to write performant code and improve system observability through logging and metrics, identifying and resolving bottlenecks as they arise.
Strong product mindset with the ability to translate user needs into technical requirements and understand how your work impacts business metrics.
Effective communicator who can collaborate across marketing, product, and engineering partners to align on requirements and deliver solutions.

Nice To Haves

Experience working on SEO/AEO initiatives or familiarity with SEO best practices, answer engine optimization for LLMs, structured data (Schema.org), search engine crawling/indexing, and Core Web Vitals.
Familiarity with how AI-powered search engines and LLMs consume and surface content, with curiosity about optimizing for AI answer generation.
Experience with big data technologies (Apache Spark, Airflow, Hadoop), NoSQL databases, and data warehousing platforms (Snowflake, Redshift).
Track record of proactively raising and resolving technical debt to keep code and systems healthy.
Experience launching experiments and analyzing results, including A/B testing frameworks for measuring SEO/AEO impact.
Previous experience partnering with marketing teams on growth initiatives in fast-paced startup environments.

Responsibilities

Build and ship full SEO and AEO features end-to-end with minimal oversight, from development through experimentation and rollout.
Design, build, and ship high-quality full-stack features that enhance search engine visibility, AI answer engine performance, and organic traffic with a strong sense of urgency and ownership.
Apply technical best practices to deliver performant, observable, and cost-aware code that improves traditional search rankings, LLM visibility, and user experience.
Contribute to data pipelines for SEO and AEO data ingestion, transformation, and delivery, applying simple, reusable abstractions to keep the system healthy as it grows.
Collaborate with product managers, designers, and marketing partners to translate user needs into technical requirements, surface trade-offs, and deliver on shared goals.