Senior DevOps Engineer (Data Solutions)-Austin, San Antonio, and Dallas

Responsibilities Since H-E-B Digital Technology's inception, we've been investing heavily in our customers' digital experience, reinventing how they find inspiration from food, how they make food decisions, and how they ultimately get food into their homes. This is an exciting time to join H-E-B Digital-we're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience. If you enjoy taking on new challenges, working in a rapidly changing environment, learning new skills, and applying it all to solve large and impactful business problems, we want you as part of our team. Our Partners thrive The H-E-B Way. In the Senior DevOps Engineer (Data Solutions) job, that means you have a HEART FOR PEOPLE you can organize multiple engineers, negotiate solutions, and provide upward communication HEAD FOR BUSINESS you consistently demonstrate and uphold the standards of coding, infrastructure, and process PASSION FOR RESULTS you're capable of high-velocity contributions in multiple technical domains. What You'll Do Implement infrastructure as code (IaC) to automate the deployment and management of cloud resources. As a Cloud Platform Engineer , collaborate with data engineers, data scientists and data analysts to optimize data workflows and ensure seamless integration. Monitor and troubleshoot Data platform services such as distributed storage, compute, and streaming. Implement security best practices and ensure compliance with industry standards. Stay updated with the latest industry trends and technologies, proactively suggesting improvements and innovations. Who You Are BS /MS degree in Computer Science, or a related field 5 years of experience in software engineering, with a focus on platform engineering and cloud infrastructure Extensive experience with Databricks and managing large scale data processing environments. Strong expertise in AWS services , including EC2, S3, IAM, VPC, Lambda and Cloud Formation . Proficiency in Python for data engineering and scripting tasks. SQL is always plus. Hands on experience with Terraform for infrastructure provisioning and management. Familiarity with data engineering concepts and tools (e.g.: Apache Spark, ETL processes) Excellent problem-solving skills and the ability to work in a fast paced, collaborative environment. Strong communication and self-motivated. Preferred Qualifications: Experience with other cloud platforms (Azure, GCP) is a plus. Knowledge of containerization technologies such as Docker and Kubernetes. Familiarity with CI/CD pipelines and related tools (Git Lib, Terraform Cloud) Certification in AWS, Terraform or relevant technologies. DATA3232