3 months ago
Base Salary
$105k - $175k/yr
Responsibilities
- Build and maintain production APIs, backend services, libraries, operational data stores, and data-processing applications.
- Participate in system design, design reviews, technical tradeoff discussions, and RFC development.
- Design interfaces, service boundaries, schemas, and data contracts.
- Write modular, testable, observable, and maintainable software.
- Own systems through deployment, monitoring, incident response, maintenance, and retirement.
- Build reliable systems that handle retries, schema changes, duplicate events, partial failures, and unexpected inputs.
- Use and evaluate AI throughout design, planning, implementation, testing, review, and codebase exploration.
- Share AI workflows, experiments, and lessons with the engineering team.
- Participate in on-call rotations and improve systems based on production experience.
- Mentor junior engineers and influence team architecture and engineering practices.
Requirements
- Minimum five years of experience in data engineering or software development with a track record of delivering production data systems.
- Bachelor’s or master’s degree in Computer Science, Applied Mathematics, Engineering, or a related field, or equivalent practical experience.
- Experience building, shipping, and operating production software, including meaningful programming beyond SQL.
- Strong programming skills in at least one general-purpose language.
- Understanding of modular design, APIs, testing, error handling, maintainability, and relational data concepts.
- Experience with unit and integration testing and diagnosing production failures.
- Experience building backend services, internal platforms, developer tools, or distributed applications.
- Experience designing APIs and operational databases.
- Familiarity with asynchronous processing, queues, event-driven systems, or change-data capture.
- Experience handling idempotency, retries, concurrency, and backward compatibility.
- Familiarity with cloud infrastructure, containers, infrastructure as code, and observability.
- Experience with data pipelines, analytical systems, data modeling, or large-scale data movement.
- Active use of AI beyond code completion and sound judgment when evaluating AI-generated output.
- Ability to contribute to design reviews, explain technical decisions, coordinate complex integrations, document proposals clearly, and mentor junior engineers.
- Willingness to own systems and participate in on-call rotations.
Benefits
- Medical, dental, vision, and life insurance coverage begins on the first day of employment.
- Paid parental leave, maternity support, nursing benefits, and adoption assistance are available.
- Six free licensed-therapist sessions annually and Wellhub membership are provided.
- At least 18 paid time-off days annually for full-time employees and six company holidays are provided.
- The company contributes 6% to a 401(k) plan each pay period without requiring employee contributions.
- Tuition reimbursement, student loan refinancing, financial counseling, and related tools are available.
- The Charitable Gift Program matches eligible donations.
- Employees receive discounts and admission to civic and cultural institutions around Chicago.
- Office perks include a coffee bar, beer on tap, unlimited snacks, an onsite gym, and city skyline views.
- The role follows a hybrid work model requiring onsite work at least two days per week at the Chicago headquarters.
About Zoro
Zoro runs an e-commerce marketplace for tools, industrial, and MRO supplies serving small and midsize businesses across many trades. Customers buy from millions of SKUs spanning electrical, plumbing, safety, office, and maintenance categories, fulfilled through a network of U.S. distributors. Founded in 2011 and headquartered in Chicago, Zoro is a subsidiary of W.W. Grainger and has grown to more than $1 billion in annual revenue.