Software Engineering Manager, Catalog Interfaces
Instacart
Software Engineering Manager, Catalog Interfaces
Job Description
Responsibilities
- Own the technical strategy and roadmap for Catalog Interfaces—build unified, high scale APIs, drive adoption across dozens of internal teams, and deprecate legacy access patterns.
- Lead, develop, and grow a team of 6+ software engineers; hire great talent, provide coaching and feedback, and foster an inclusive, high‑trust, high‑ownership culture.
- Deliver reliable, low‑latency services that handle billions of catalog updates; define SLOs, mature on‑call operations, and optimize for operational excellence
- Partner cross‑functionally with Product, Data, Search/Ads, and Retailer Platform to prioritize impact, shape API contracts and data models, and land cross‑organization initiatives.
- Own Snowflake tables and views consumed by downstream users; implement data governance, access controls, and quality monitoring to ensure accuracy, lineage, and compliance.
- Design and evolve LLM context interfaces and retrieval patterns that safely and efficiently expose catalog data to AI/ML systems.
- Establish engineering best practices in SOA, schema/version management, testing, CI/CD, observability, and incident response to drive engineering excellence.
Required Qualifications
- 8+ years of professional software engineering experience, including 2+ years managing software engineers as a people leader.
- Proven track record leading backend/platform teams that build and operate high‑scale, low‑latency APIs and distributed services handling millions of requests per day.
- Hands‑on experience with service‑oriented architectures, API design (REST and/or gRPC), data modeling, and schema/version management.
- Proficiency in at least one modern programming language (e.g., Go, Java, or Python) and building services on a major cloud provider (e.g., AWS or GCP).
- Experience running always‑on services: defining SLOs/SLAs, participating in on‑call rotations, leading incident response, and driving postmortem improvements.
- Direct experience with streaming and batch data systems (e.g., Kafka and Snowflake), including data quality frameworks, governance, and access controls for sensitive data.
- Demonstrated ability to define and deliver a technical roadmap, align stakeholders, and ship cross‑functional projects end‑to‑end.
- Experience hiring, coaching, and performance managing engineers; commitment to building an inclusive team environment.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
- Background building or integrating LLM context interfaces, retrieval pipelines, or feature stores for AI/ML applications.
- Familiarity with data privacy, compliance, and role‑based access controls within high‑scale data platforms.
- Expertise with observability and reliability tooling and resiliency/chaos testing.
- Success driving platform adoption with multiple stakeholder teams, balancing long‑term platform investments with near‑term product needs.
- Domain experience in e‑commerce, marketplace, retail technology, or ads platforms.
- An advanced degree in a relevant field is a plus.
Required Skills
- software engineering
- managing software engineers
- backend/platform teams
- high‑scale, low‑latency APIs
- distributed services
- service‑oriented architectures
- API design (REST and/or gRPC)
- data modeling
- schema/version management
- Go
- Java
- Python
- AWS
- GCP
- SLOs/SLAs
- on‑call rotations
- incident response
- streaming and batch data systems
- Kafka
- Snowflake
- data quality frameworks
- data governance
- access controls
- hiring
- coaching
- performance managing
- LLM context interfaces
- retrieval pipelines
- feature stores
- AI/ML applications
- data privacy
- compliance
- role‑based access controls
- observability
- reliability tooling
- resiliency/chaos testing
- e‑commerce
- marketplace
- retail technology
- ads platforms
Salary Range
$193000 - $214000 CAD
Locations
- Canada, Canada (Remote)
Salary
193,000 - 214,000 CAD / yearly
Skills Required
- software engineeringintermediate
- managing software engineersintermediate
- backend/platform teamsintermediate
- high‑scale, low‑latency APIsintermediate
- distributed servicesintermediate
- service‑oriented architecturesintermediate
- API design (REST and/or gRPC)intermediate
- data modelingintermediate
- schema/version managementintermediate
- Gointermediate
- Javaintermediate
- Pythonintermediate
- AWSintermediate
- GCPintermediate
- SLOs/SLAsintermediate
- on‑call rotationsintermediate
- incident responseintermediate
- streaming and batch data systemsintermediate
- Kafkaintermediate
- Snowflakeintermediate
- data quality frameworksintermediate
- data governanceintermediate
- access controlsintermediate
- hiringintermediate
- coachingintermediate
- performance managingintermediate
- LLM context interfacesintermediate
- retrieval pipelinesintermediate
- feature storesintermediate
- AI/ML applicationsintermediate
- data privacyintermediate
- complianceintermediate
- role‑based access controlsintermediate
- observabilityintermediate
- reliability toolingintermediate
- resiliency/chaos testingintermediate
- e‑commerceintermediate
- marketplaceintermediate
- retail technologyintermediate
- ads platformsintermediate
Required Qualifications
- 8+ years of professional software engineering experience, including 2+ years managing software engineers as a people leader. (experience)
- Proven track record leading backend/platform teams that build and operate high‑scale, low‑latency APIs and distributed services handling millions of requests per day. (experience)
- Hands‑on experience with service‑oriented architectures, API design (REST and/or gRPC), data modeling, and schema/version management. (experience)
- Proficiency in at least one modern programming language (e.g., Go, Java, or Python) and building services on a major cloud provider (e.g., AWS or GCP). (experience)
- Experience running always‑on services: defining SLOs/SLAs, participating in on‑call rotations, leading incident response, and driving postmortem improvements. (experience)
- Direct experience with streaming and batch data systems (e.g., Kafka and Snowflake), including data quality frameworks, governance, and access controls for sensitive data. (experience)
- Demonstrated ability to define and deliver a technical roadmap, align stakeholders, and ship cross‑functional projects end‑to‑end. (experience)
- Experience hiring, coaching, and performance managing engineers; commitment to building an inclusive team environment. (experience)
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. (experience)
Preferred Qualifications
- Background building or integrating LLM context interfaces, retrieval pipelines, or feature stores for AI/ML applications. (experience)
- Familiarity with data privacy, compliance, and role‑based access controls within high‑scale data platforms. (experience)
- Expertise with observability and reliability tooling and resiliency/chaos testing. (experience)
- Success driving platform adoption with multiple stakeholder teams, balancing long‑term platform investments with near‑term product needs. (experience)
- Domain experience in e‑commerce, marketplace, retail technology, or ads platforms. (experience)
- An advanced degree in a relevant field is a plus. (experience)
Responsibilities
- Own the technical strategy and roadmap for Catalog Interfaces—build unified, high scale APIs, drive adoption across dozens of internal teams, and deprecate legacy access patterns.
- Lead, develop, and grow a team of 6+ software engineers; hire great talent, provide coaching and feedback, and foster an inclusive, high‑trust, high‑ownership culture.
- Deliver reliable, low‑latency services that handle billions of catalog updates; define SLOs, mature on‑call operations, and optimize for operational excellence
- Partner cross‑functionally with Product, Data, Search/Ads, and Retailer Platform to prioritize impact, shape API contracts and data models, and land cross‑organization initiatives.
- Own Snowflake tables and views consumed by downstream users; implement data governance, access controls, and quality monitoring to ensure accuracy, lineage, and compliance.
- Design and evolve LLM context interfaces and retrieval patterns that safely and efficiently expose catalog data to AI/ML systems.
- Establish engineering best practices in SOA, schema/version management, testing, CI/CD, observability, and incident response to drive engineering excellence.
Tags & Categories
Software Engineering Manager, Catalog Interfaces
Instacart
Software Engineering Manager, Catalog Interfaces
Job Description
Responsibilities
- Own the technical strategy and roadmap for Catalog Interfaces—build unified, high scale APIs, drive adoption across dozens of internal teams, and deprecate legacy access patterns.
- Lead, develop, and grow a team of 6+ software engineers; hire great talent, provide coaching and feedback, and foster an inclusive, high‑trust, high‑ownership culture.
- Deliver reliable, low‑latency services that handle billions of catalog updates; define SLOs, mature on‑call operations, and optimize for operational excellence
- Partner cross‑functionally with Product, Data, Search/Ads, and Retailer Platform to prioritize impact, shape API contracts and data models, and land cross‑organization initiatives.
- Own Snowflake tables and views consumed by downstream users; implement data governance, access controls, and quality monitoring to ensure accuracy, lineage, and compliance.
- Design and evolve LLM context interfaces and retrieval patterns that safely and efficiently expose catalog data to AI/ML systems.
- Establish engineering best practices in SOA, schema/version management, testing, CI/CD, observability, and incident response to drive engineering excellence.
Required Qualifications
- 8+ years of professional software engineering experience, including 2+ years managing software engineers as a people leader.
- Proven track record leading backend/platform teams that build and operate high‑scale, low‑latency APIs and distributed services handling millions of requests per day.
- Hands‑on experience with service‑oriented architectures, API design (REST and/or gRPC), data modeling, and schema/version management.
- Proficiency in at least one modern programming language (e.g., Go, Java, or Python) and building services on a major cloud provider (e.g., AWS or GCP).
- Experience running always‑on services: defining SLOs/SLAs, participating in on‑call rotations, leading incident response, and driving postmortem improvements.
- Direct experience with streaming and batch data systems (e.g., Kafka and Snowflake), including data quality frameworks, governance, and access controls for sensitive data.
- Demonstrated ability to define and deliver a technical roadmap, align stakeholders, and ship cross‑functional projects end‑to‑end.
- Experience hiring, coaching, and performance managing engineers; commitment to building an inclusive team environment.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
- Background building or integrating LLM context interfaces, retrieval pipelines, or feature stores for AI/ML applications.
- Familiarity with data privacy, compliance, and role‑based access controls within high‑scale data platforms.
- Expertise with observability and reliability tooling and resiliency/chaos testing.
- Success driving platform adoption with multiple stakeholder teams, balancing long‑term platform investments with near‑term product needs.
- Domain experience in e‑commerce, marketplace, retail technology, or ads platforms.
- An advanced degree in a relevant field is a plus.
Required Skills
- software engineering
- managing software engineers
- backend/platform teams
- high‑scale, low‑latency APIs
- distributed services
- service‑oriented architectures
- API design (REST and/or gRPC)
- data modeling
- schema/version management
- Go
- Java
- Python
- AWS
- GCP
- SLOs/SLAs
- on‑call rotations
- incident response
- streaming and batch data systems
- Kafka
- Snowflake
- data quality frameworks
- data governance
- access controls
- hiring
- coaching
- performance managing
- LLM context interfaces
- retrieval pipelines
- feature stores
- AI/ML applications
- data privacy
- compliance
- role‑based access controls
- observability
- reliability tooling
- resiliency/chaos testing
- e‑commerce
- marketplace
- retail technology
- ads platforms
Salary Range
$193000 - $214000 CAD
Locations
- Canada, Canada (Remote)
Salary
193,000 - 214,000 CAD / yearly
Skills Required
- software engineeringintermediate
- managing software engineersintermediate
- backend/platform teamsintermediate
- high‑scale, low‑latency APIsintermediate
- distributed servicesintermediate
- service‑oriented architecturesintermediate
- API design (REST and/or gRPC)intermediate
- data modelingintermediate
- schema/version managementintermediate
- Gointermediate
- Javaintermediate
- Pythonintermediate
- AWSintermediate
- GCPintermediate
- SLOs/SLAsintermediate
- on‑call rotationsintermediate
- incident responseintermediate
- streaming and batch data systemsintermediate
- Kafkaintermediate
- Snowflakeintermediate
- data quality frameworksintermediate
- data governanceintermediate
- access controlsintermediate
- hiringintermediate
- coachingintermediate
- performance managingintermediate
- LLM context interfacesintermediate
- retrieval pipelinesintermediate
- feature storesintermediate
- AI/ML applicationsintermediate
- data privacyintermediate
- complianceintermediate
- role‑based access controlsintermediate
- observabilityintermediate
- reliability toolingintermediate
- resiliency/chaos testingintermediate
- e‑commerceintermediate
- marketplaceintermediate
- retail technologyintermediate
- ads platformsintermediate
Required Qualifications
- 8+ years of professional software engineering experience, including 2+ years managing software engineers as a people leader. (experience)
- Proven track record leading backend/platform teams that build and operate high‑scale, low‑latency APIs and distributed services handling millions of requests per day. (experience)
- Hands‑on experience with service‑oriented architectures, API design (REST and/or gRPC), data modeling, and schema/version management. (experience)
- Proficiency in at least one modern programming language (e.g., Go, Java, or Python) and building services on a major cloud provider (e.g., AWS or GCP). (experience)
- Experience running always‑on services: defining SLOs/SLAs, participating in on‑call rotations, leading incident response, and driving postmortem improvements. (experience)
- Direct experience with streaming and batch data systems (e.g., Kafka and Snowflake), including data quality frameworks, governance, and access controls for sensitive data. (experience)
- Demonstrated ability to define and deliver a technical roadmap, align stakeholders, and ship cross‑functional projects end‑to‑end. (experience)
- Experience hiring, coaching, and performance managing engineers; commitment to building an inclusive team environment. (experience)
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. (experience)
Preferred Qualifications
- Background building or integrating LLM context interfaces, retrieval pipelines, or feature stores for AI/ML applications. (experience)
- Familiarity with data privacy, compliance, and role‑based access controls within high‑scale data platforms. (experience)
- Expertise with observability and reliability tooling and resiliency/chaos testing. (experience)
- Success driving platform adoption with multiple stakeholder teams, balancing long‑term platform investments with near‑term product needs. (experience)
- Domain experience in e‑commerce, marketplace, retail technology, or ads platforms. (experience)
- An advanced degree in a relevant field is a plus. (experience)
Responsibilities
- Own the technical strategy and roadmap for Catalog Interfaces—build unified, high scale APIs, drive adoption across dozens of internal teams, and deprecate legacy access patterns.
- Lead, develop, and grow a team of 6+ software engineers; hire great talent, provide coaching and feedback, and foster an inclusive, high‑trust, high‑ownership culture.
- Deliver reliable, low‑latency services that handle billions of catalog updates; define SLOs, mature on‑call operations, and optimize for operational excellence
- Partner cross‑functionally with Product, Data, Search/Ads, and Retailer Platform to prioritize impact, shape API contracts and data models, and land cross‑organization initiatives.
- Own Snowflake tables and views consumed by downstream users; implement data governance, access controls, and quality monitoring to ensure accuracy, lineage, and compliance.
- Design and evolve LLM context interfaces and retrieval patterns that safely and efficiently expose catalog data to AI/ML systems.
- Establish engineering best practices in SOA, schema/version management, testing, CI/CD, observability, and incident response to drive engineering excellence.
Tags & Categories