Software Development Manager - Fulfillment Engineering

Chewy

Minneapolis, MN

Full Time

Senior

about 2 months ago

Job Description

About the Role

Chewy is seeking a Software Development Manager to join its Fulfillment Engineering and Automation group in Minneapolis, MN. In this role, you will be a key member of a diverse engineering team that researches, develops, and deploys scalable systems powered by data science and machine learning to automate and optimize fulfillment center operations. This is a terrific opportunity to join a team that plays a meaningful role in driving efficiency and innovation across Chewy's extensive fulfillment network.

Key Responsibilities

Lead and manage a Software Engineering team, consisting of 5+ Team Members of various experience levels
Drive priorities, technical decisions, delivery, continuous improvement, and support of current and future projects
Manage Team Members' growth, deliver feedback and direction, and provide opportunities that fit their career path
Collaborate with Data Science and Product teams to integrate ML and optimization models into production-grade software systems
Communicate technical designs, technology strategy, and priorities to other technical teams and senior management
Define and advocate for standard processes in software development, testing, deployment, and production support
Build and maintain positive relationships with partner teams and peers

Requirements

Bachelor's Degree (Computer Science, Engineering, or related field) or equivalent experience
5+ years of professional software development experience
2+ years of experience managing and leading software engineering teams
Ability to program in Java, Python, or other modern programming language
Proven delivery of complex end-to-end solutions
Proven ability to coach and grow Team Members at different career stages
Ability to simultaneously support multiple high priority projects in a fast-paced environment
Ability to travel as needed

Nice to Have

Master's Degree (MBA, Computer Science, Engineering or related field)
Experience developing and maintaining cloud-native applications that leverage data and machine learning components
Familiarity with data platforms, ML pipelines, and model integration in scalable systems

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