Staff Software Engineer, Enterprise Integration
- Opened · 30d
- +2
- Closed · 30d
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- Opened · 7d
- +5116% of open
- All software engineering
- 75,184open
Overview
We’re seeking a Staff Software Engineer, Enterprise Integration to help design and build the core integration and API platforms that connect Brooklinen’s enterprise applications, data, and enterprise systems, with a focus on supporting robust, scalable Direct-to-Consumer (DTC) commerce at scale. This is a hands-on engineering role with significant architectural influence, focused on building robust, scalable, and secure software systems.
This role is ideal for a seasoned engineer who enjoys solving complex distributed systems and integration problems, writing production-grade code, and shaping long-term platform architecture. This includes tackling the complexity of integrating core DTC platforms like Shopify and NetSuite (ERP), 3PL, etc..
As a Staff Software Engineer, you will be a senior technical contributor responsible for designing, building, and operating cloud-native integration services and APIs (both AWS and iPaaS). You will work closely with engineering, data, and enterprise teams to deliver API-first and event-driven architectures.
What You’ll Do
Design, build, and operate cloud-native microservices on AWS, Heroku, and iPaaS (like Boomi) to support enterprise integrations and APIs.
Write high-quality, production-grade software in Java, Kotlin, and/or Python, applying proven software engineering patterns and best practices.
Architect and implement event-driven and asynchronous systems using messaging and streaming platforms (e.g., Kafka or AWS-native equivalents).
Apply distributed systems and integration patterns (e.g., idempotency, retries, backpressure, eventual consistency) to build resilient services.
Design API-first services that expose well-defined domain capabilities for commerce, data, and enterprise consumers.
Design and implement reliable data pipelines to centralize commerce, ERP, and marketing data into our analytics warehouse (Snowflake) for reporting and business intelligence.
Deeply integrate core commerce and ERP platforms (Shopify and NetSuite) using custom services and Shopify Functions (e.g., Cart Transform API, Discounts) to maintain order and inventory data integrity.
Collaborate with marketing and product teams to integrate and operationalize core customer engagement tools, such as Attentive and personalization engines (e.g., Dynamic Yield or replacements).
Design systems with strong emphasis on observability, fault tolerance, security, and operational excellence.
Participate in architecture and design reviews, influencing microservices and event-driven architecture standards.
Design and manage data persistence layers, selecting appropriate database technologies based on access patterns and scale.
Mentor junior engineers and elevate practices in system design, code quality, and reliability engineering.
Drive DevOps best practices including CI/CD, infrastructure as code, and automated testing within the Enterprise Integrations domain
What You'll Bring
Bachelor’s degree in Computer Science or a related field (Master’s preferred).
5+ years of professional software engineering experience, primarily focused on integration and distributed systems.
Advanced proficiency in Object Oriented Programming languages like Java, Kotlin, and/or Python.
Strong experience designing and operating microservices-based architectures in production.
Deep hands-on experience with event-driven systems and asynchronous processing.
Strong experience with queuing and messaging systems (e.g., message queues, pub/sub, streaming).
Expertise in the Shopify ecosystem, including advanced API usage, webhooks, and the ability to integrate with or build Shopify Functions (e.g. Cart and Checkout validation).
Experience integrating and maintaining complex ERP/OMS systems (e.g., NetSuite, 3PL) and leveraging data warehouse technologies (Snowflake) for analytics.
Strong hands-on experience designing and building systems at scale, including AWS.
Experience working with relational and NoSQL database technologies, including schema design, data modeling, and performance optimization.