Company Summary:
Zoro is an eCommerce company that's on a mission to help business owners get everything they need to run their businesses and thrive–from office supplies to power tools. But we're way more than a website. We're a team of great people with an award-winning culture. Check us out and see for yourself!
Job Summary:
Zoro is seeking a Senior Software Engineer I to join our Data and Machine Learning Platform team. In this role, you will contribute to the design and development of scalable tools and systems that enable teams across the organization to ingest, create, share, and use data. By helping develop self-service solutions and streamlining data workflows, you will support data pipelines, machine learning workflows, and advanced analytics—empowering teams to make data-driven decisions and work more efficiently.
In this role, you will take an active part in ensuring the platform's ability to support diverse data products with minimal friction, while also mentoring junior engineers to help them grow and follow best practices. Your contributions will empower Zoro's business partners to leverage data more effectively, driving innovation and business growth. Additionally, you will play a crucial role in maintaining the platform's reliability, scalability, and adaptability, while gaining opportunities to develop your own skills through high-impact projects.
Duties and Responsibilities:
- Design, build, and maintain scalable, self-service tools and automated workflows that enable partners to easily ingest, create, share, and use data, optimizing data processes and enhancing platform usability.
- Mentor junior engineers , providing guidance on best practices, technical development, and ensuring high standards in code quality and platform functionality.
- Collaborate proactively with cross-functional teams (data engineers, data scientists, software engineers) to identify requirements, align platform solutions with partner needs, and continuously enhance the user experience to support scalable, reliable, and user-friendly data products.
- Implement monitoring and alerting systems to ensure platform reliability, identifying and resolving issues before they impact users.
- Drive the continuous improvement of platform infrastructure , ensuring it remains robust, scalable, and easy for partners to adopt, and can accommodate evolving business needs.
- Research and integrate new tools and technologies to drive innovation and enhance platform performance. Ensure the platform remains cutting-edge, adaptable, and aligned with industry best practices, while continuously developing your technical skills.
- Create and update technical documentation and user guides for the team and platform users, ensuring that platform tools, workflows, and processes are clearly documented for easy adoption and internal knowledge sharing.
Minimum Qualifications:
- 5+ years of experience in platform engineering, software development, or a related field.
- Proven experience in designing and developing scalable, reusable, and user-friendly tools that reduce complexity and empower teams to innovate through self-service capabilities.
- Strong proficiency in at least one programming language (preferably Python) with demonstrated ability to write clean, well-documented code.
- Experience with cloud platforms such as AWS, Azure, GCP, or others (GCP Preferred), including designing, deploying, and managing large-scale systems.
- Experience mentoring junior engineers, promoting best practices in software engineering and technical development.
- Ability to collaborate with cross-functional teams, including data engineers, data scientists, and software engineers, to deliver platform solutions aligned with business needs.
- Ability to write clear documentation and convey technical concepts to peers
- Experience using containerization tools like Docker and Kubernetes in production environments
- Experience with CI/CD pipelines and automated build tools (e.g., Jenkins, CircleCI).
- Experience with orchestration tools such as Airflow, Argo, Flyte, or Kubeflow.
Preferred Qualifications:
- Proficiency with infrastructure as code (IaC) technologies and automated infrastructure management/deployment patterns (e.g., Terraform, Ansible, Helm)
- Experience with monitoring and logging using tools like DataDog or Prometheus + Grafana.
- Experience with batch and streaming data tools (e.g., Spark, Hadoop; Kafka, Pub/Sub) for large-scale data processing and real-time workflows.
- Understanding of machine learning processes, model types, workflows, and terminology