Staff Software Engineer, Catalog
Instacart
Staff Software Engineer, Catalog
Job Description
Responsibilities
- Lead multi‑team initiatives that improve Catalog quality, reliability, and coverage for customers, retailers, brands, and shoppers, with measurable impact on core marketplace outcomes.
- Accelerate the adoption of AI across platform, product, and processes—designing systems that turn probabilistic signals into reliable, audited outcomes.
- Architect, build, and operate highly scalable, resilient services that support high‑volume data ingestion, product identity, enrichment, and storefront correctness.
- Guide teams through execution: clarify scope, de‑risk designs, establish quality bars, and drive delivery while improving standards, observability, and operational excellence.
- Champion modern technologies and methodologies that increase flexibility and robustness; influence roadmaps and align stakeholders around a concise technical strategy.
- Mentor engineers through design reviews, pair‑programming, and coaching, raising the bar on code quality, documentation, testing, and experimentation practices.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
- 10+ years of experience designing, building, and operating scalable platform or backend systems in production.
- Experience leading the design, implementation, and deployment of high‑scale, cross‑functional systems end to end.
- Deep knowledge of systems architecture and service‑oriented solutions (e.g., microservices, data pipelines, event‑driven architectures).
- Demonstrated experience mentoring engineers and providing technical leadership across teams.
- Excellent technical communication skills with a track record of partnering effectively with engineering and cross‑functional stakeholders.
Preferred Qualifications
- Proficiency in Ruby/Rails and/or Python.
- Advanced understanding of asynchronous processing and designing decision systems.
- Experience engineering concrete outcomes from non‑deterministic systems, using scientific measurement methodologies to drive continuous improvement.
- Experience with data models that power large eCommerce or marketplace platforms.
- Strong knowledge of common industry data stores or warehouses (e.g., Postgres, Snowflake) and strong SQL skills.
- Experience navigating and integrating multiple codebases and heterogeneous systems.
Required Skills
- Ruby/Rails
- Python
- systems architecture
- microservices
- data pipelines
- event‑driven architectures
- asynchronous processing
- SQL
- Postgres
- Snowflake
Salary Range
$224000 - $249000 CAD
Locations
- Canada, Canada (Remote)
Salary
224,000 - 249,000 CAD / yearly
Skills Required
- Ruby/Railsintermediate
- Pythonintermediate
- systems architectureintermediate
- microservicesintermediate
- data pipelinesintermediate
- event‑driven architecturesintermediate
- asynchronous processingintermediate
- SQLintermediate
- Postgresintermediate
- Snowflakeintermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience. (experience)
- 10+ years of experience designing, building, and operating scalable platform or backend systems in production. (experience)
- Experience leading the design, implementation, and deployment of high‑scale, cross‑functional systems end to end. (experience)
- Deep knowledge of systems architecture and service‑oriented solutions (e.g., microservices, data pipelines, event‑driven architectures). (experience)
- Demonstrated experience mentoring engineers and providing technical leadership across teams. (experience)
- Excellent technical communication skills with a track record of partnering effectively with engineering and cross‑functional stakeholders. (experience)
Preferred Qualifications
- Proficiency in Ruby/Rails and/or Python. (experience)
- Advanced understanding of asynchronous processing and designing decision systems. (experience)
- Experience engineering concrete outcomes from non‑deterministic systems, using scientific measurement methodologies to drive continuous improvement. (experience)
- Experience with data models that power large eCommerce or marketplace platforms. (experience)
- Strong knowledge of common industry data stores or warehouses (e.g., Postgres, Snowflake) and strong SQL skills. (experience)
- Experience navigating and integrating multiple codebases and heterogeneous systems. (experience)
Responsibilities
- Lead multi‑team initiatives that improve Catalog quality, reliability, and coverage for customers, retailers, brands, and shoppers, with measurable impact on core marketplace outcomes.
- Accelerate the adoption of AI across platform, product, and processes—designing systems that turn probabilistic signals into reliable, audited outcomes.
- Architect, build, and operate highly scalable, resilient services that support high‑volume data ingestion, product identity, enrichment, and storefront correctness.
- Guide teams through execution: clarify scope, de‑risk designs, establish quality bars, and drive delivery while improving standards, observability, and operational excellence.
- Champion modern technologies and methodologies that increase flexibility and robustness; influence roadmaps and align stakeholders around a concise technical strategy.
- Mentor engineers through design reviews, pair‑programming, and coaching, raising the bar on code quality, documentation, testing, and experimentation practices.
Tags & Categories
Staff Software Engineer, Catalog
Instacart
Staff Software Engineer, Catalog
Job Description
Responsibilities
- Lead multi‑team initiatives that improve Catalog quality, reliability, and coverage for customers, retailers, brands, and shoppers, with measurable impact on core marketplace outcomes.
- Accelerate the adoption of AI across platform, product, and processes—designing systems that turn probabilistic signals into reliable, audited outcomes.
- Architect, build, and operate highly scalable, resilient services that support high‑volume data ingestion, product identity, enrichment, and storefront correctness.
- Guide teams through execution: clarify scope, de‑risk designs, establish quality bars, and drive delivery while improving standards, observability, and operational excellence.
- Champion modern technologies and methodologies that increase flexibility and robustness; influence roadmaps and align stakeholders around a concise technical strategy.
- Mentor engineers through design reviews, pair‑programming, and coaching, raising the bar on code quality, documentation, testing, and experimentation practices.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
- 10+ years of experience designing, building, and operating scalable platform or backend systems in production.
- Experience leading the design, implementation, and deployment of high‑scale, cross‑functional systems end to end.
- Deep knowledge of systems architecture and service‑oriented solutions (e.g., microservices, data pipelines, event‑driven architectures).
- Demonstrated experience mentoring engineers and providing technical leadership across teams.
- Excellent technical communication skills with a track record of partnering effectively with engineering and cross‑functional stakeholders.
Preferred Qualifications
- Proficiency in Ruby/Rails and/or Python.
- Advanced understanding of asynchronous processing and designing decision systems.
- Experience engineering concrete outcomes from non‑deterministic systems, using scientific measurement methodologies to drive continuous improvement.
- Experience with data models that power large eCommerce or marketplace platforms.
- Strong knowledge of common industry data stores or warehouses (e.g., Postgres, Snowflake) and strong SQL skills.
- Experience navigating and integrating multiple codebases and heterogeneous systems.
Required Skills
- Ruby/Rails
- Python
- systems architecture
- microservices
- data pipelines
- event‑driven architectures
- asynchronous processing
- SQL
- Postgres
- Snowflake
Salary Range
$224000 - $249000 CAD
Locations
- Canada, Canada (Remote)
Salary
224,000 - 249,000 CAD / yearly
Skills Required
- Ruby/Railsintermediate
- Pythonintermediate
- systems architectureintermediate
- microservicesintermediate
- data pipelinesintermediate
- event‑driven architecturesintermediate
- asynchronous processingintermediate
- SQLintermediate
- Postgresintermediate
- Snowflakeintermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience. (experience)
- 10+ years of experience designing, building, and operating scalable platform or backend systems in production. (experience)
- Experience leading the design, implementation, and deployment of high‑scale, cross‑functional systems end to end. (experience)
- Deep knowledge of systems architecture and service‑oriented solutions (e.g., microservices, data pipelines, event‑driven architectures). (experience)
- Demonstrated experience mentoring engineers and providing technical leadership across teams. (experience)
- Excellent technical communication skills with a track record of partnering effectively with engineering and cross‑functional stakeholders. (experience)
Preferred Qualifications
- Proficiency in Ruby/Rails and/or Python. (experience)
- Advanced understanding of asynchronous processing and designing decision systems. (experience)
- Experience engineering concrete outcomes from non‑deterministic systems, using scientific measurement methodologies to drive continuous improvement. (experience)
- Experience with data models that power large eCommerce or marketplace platforms. (experience)
- Strong knowledge of common industry data stores or warehouses (e.g., Postgres, Snowflake) and strong SQL skills. (experience)
- Experience navigating and integrating multiple codebases and heterogeneous systems. (experience)
Responsibilities
- Lead multi‑team initiatives that improve Catalog quality, reliability, and coverage for customers, retailers, brands, and shoppers, with measurable impact on core marketplace outcomes.
- Accelerate the adoption of AI across platform, product, and processes—designing systems that turn probabilistic signals into reliable, audited outcomes.
- Architect, build, and operate highly scalable, resilient services that support high‑volume data ingestion, product identity, enrichment, and storefront correctness.
- Guide teams through execution: clarify scope, de‑risk designs, establish quality bars, and drive delivery while improving standards, observability, and operational excellence.
- Champion modern technologies and methodologies that increase flexibility and robustness; influence roadmaps and align stakeholders around a concise technical strategy.
- Mentor engineers through design reviews, pair‑programming, and coaching, raising the bar on code quality, documentation, testing, and experimentation practices.
Tags & Categories