
501 - 1000 employees
Founded 2007
📦 Logistics
💼 Consulting
🍽️ Food & Beverage
Logistics • Consulting • Food & Beverage
Symbotic is an industrial automation company that provides an end-to-end, AI-powered warehouse automation platform combining autonomous mobile robots, advanced vision and sensing, and orchestration software to modernize supply chains. Its system integrates hardware and intelligent software to increase throughput, accuracy, and storage density for retail, grocery, CPG, and wholesale customers, solving labor constraints and operational inefficiencies in distribution and fulfillment operations.
🕒 September 24
Where this job comes from
Posted on Symbotic's careers page, not through a job board
First seen by Remote Rocketship September 24
Still open on Symbotic's site. Checked 4 hours ago.

501 - 1000 employees
Founded 2007
📦 Logistics
💼 Consulting
🍽️ Food & Beverage
Logistics • Consulting • Food & Beverage
Symbotic is an industrial automation company that provides an end-to-end, AI-powered warehouse automation platform combining autonomous mobile robots, advanced vision and sensing, and orchestration software to modernize supply chains. Its system integrates hardware and intelligent software to increase throughput, accuracy, and storage density for retail, grocery, CPG, and wholesale customers, solving labor constraints and operational inefficiencies in distribution and fulfillment operations.
• Design and enhance a scalable, cloud-native, multi-tenant data platform • Build and optimize batch and streaming data pipelines, transformation models, and reusable data services • Develop scalable data models using BigQuery and dbt • Implement data quality, governance, lineage, and monitoring practices • Create Infrastructure as Code using Terraform • Maintain CI/CD pipelines using GitHub Actions or similar tools • Implement automated testing, deployment, release, observability, logging, and alerting capabilities • Monitor platform health and troubleshoot production issues • Drive improvements in scalability, reliability, and operational performance • Partner with Product, Engineering, AI, and Analytics teams • Contribute to architecture reviews, technical documentation, engineering standards, and team mentorship
• Minimum of 8 years of related experience or equivalent work experience • Bachelor’s degree in computer science, Engineering, Information Systems, or a related field • Experience designing and building cloud-native data solutions using Google Cloud Platform, BigQuery, and dbt • Strong SQL and Python skills, with experience working with PostgreSQL or other relational databases • Experience developing scalable batch and streaming data pipelines using Apache Airflow or Cloud Composer • Experience implementing Infrastructure as Code with Terraform and building CI/CD pipelines • Experience with technologies such as Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, Cloud Run, Kubernetes, or Docker • Valid driver's license and ability to drive and/or fly to client locations and company HQ
• Up to 10% of travel may be required • Business travel expenses reimbursed based on program guidelines • Eligible employees may receive a corporate credit card based on role and travel requirements
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