2 months ago
Base Salary
$105k - $175k/yr
Responsibilities
- Design, build, and maintain scalable self-service tools and automated workflows for data ingestion, creation, sharing, and usage.
- Mentor junior engineers on technical development, best practices, code quality, and platform functionality.
- Collaborate with data engineers, data scientists, software engineers, and business partners to deliver reliable, user-friendly platform solutions.
- Implement monitoring and alerting to maintain platform reliability and resolve issues proactively.
- Drive continuous improvement of platform infrastructure for robustness, scalability, adaptability, and ease of adoption.
- Research and integrate tools and technologies that improve platform performance and innovation.
- Create and maintain technical documentation and user guides for platform users and internal teams.
Requirements
- 5+ years of experience in platform engineering, software development, or a related field.
- Experience designing and developing scalable, reusable, user-friendly self-service tools.
- Strong proficiency in at least one programming language, preferably Python, with the ability to write clean, documented code.
- Experience designing, deploying, and managing large-scale systems on cloud platforms such as AWS, Azure, or GCP, with GCP preferred.
- Experience mentoring junior engineers and promoting software engineering best practices.
- Experience collaborating with data engineers, data scientists, and software engineers.
- Ability to write clear documentation and communicate technical concepts.
- Production experience with Docker and Kubernetes.
- Experience with CI/CD pipelines and automated build tools such as Jenkins or CircleCI.
- Experience with orchestration tools such as Airflow, Argo, Flyte, or Kubeflow.
- Preferred: experience with infrastructure as code and automated infrastructure management using Terraform, Ansible, or Helm.
- Preferred: experience with monitoring and logging tools such as DataDog, Prometheus, or Grafana.
- Preferred: experience with batch and streaming data tools such as Spark, Hadoop, Kafka, or Pub/Sub.
- Preferred: understanding of machine learning processes, model types, workflows, and terminology.
Benefits
- Medical, dental, vision, and life insurance coverage beginning on the first day of employment.
- Maternity support, nursing benefits, paid parental leave, and adoption assistance.
- Six free licensed-therapist sessions annually and Wellhub membership.
- At least 18 paid time-off days annually for full-time employees and six company holidays.
- A 6% company 401(k) contribution each pay period with no employee contribution required.
- Tuition reimbursement, student loan refinancing, financial counseling, and related education tools.
- Charitable gift matching for eligible organizations.
- Employee discounts and admission to civic and cultural institutions around Chicago.
- Chicago office perks including a coffee bar, beer on tap, unlimited snacks, an onsite gym, and city skyline views.
- Hybrid work model requiring employees to be onsite at least two days per week at the Chicago headquarters.
Tech Stack
AnsibleApache AirflowApache HadoopApache KafkaApache SparkArgo CDAWSAzureCircleCIDatadogDockerGoogle Cloud PlatformGrafanaHelmJenkinsKubernetesPrometheusPythonTerraform
Categories
Data EngineeringDevOps
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.