Sr Software Engineer- Kubernetes

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, make food decisions, and 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.

As a Senior Software Engineer, you’ll deliver complex code solutions. You’ll support the build and deployment pipeline and when necessary, diagnose / solve production support or on-call issues. You’ll contribute to overall system design, architecture, security, scalability, reliability, application performance and provide end-to-end support.

Once you’re eligible, you’ll become an Owner in the company, so we’re looking for commitment, hard work, and focus on quality and Customer service. “Partner owned” means our most important resources
-People- drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company.

Do you have a:

skills to organize multiple engineers, negotiate solutions, and provide upward communication?

consistency in demonstrating / upholding standards of coding, infrastructure, and process?

capable of high-velocity contributions?

• A Computer Science degree or comparable formal training, certification, or work experience
• 5+ years of experience in software development
• Proficient in multiple programming languages, technologies, and frameworks
• Advanced knowledge in system and data architecture, data modeling, and design and capable of architecting and designing at the application or service level using well-accepted design patterns
• Able to review platform designs for strength of engineering solutions, namely performance, sustainability, and iterative development potential
• Experience with common software engineering tools (e.g., Git, Jira, Confluence)
• Experience successfully producing consistent, high quality results
• Comprehensive knowledge of Computer Science fundamentals: data structures, algorithms, design patterns, system architecture and design patterns
• Advanced understanding of development methodologies and processes
• Kubernetes Cluster lifecycle management
  - Experience in running multi-cluster Kubernetes environments, including node pool strategy, provisioning, scaling, upgrades, monitoring/observability, policy/config changes, incident response, backups/DR, and application runtime operations
• Hybrid cloud infrastructure
  - Experience in designing and building infrastructure across GCP, AWS, and on-prem platforms such as Open Stack, with an understanding of cloud networking, IAM models, and workload placement tradeoffs
• Automation tooling and scripting
  - Experience building automation for infrastructure and platform workflows using modern tooling and strong programming and scripting using Golang and Python
• Security and Compliance
  - Familiarity with encryption standards (TLS 1.2+), logging, secrets management, auditability, and compliance aligned security controls for production workloads (PCI, HIPAA)
• Linux, networking, and storage fundamentals
  - Solid understanding of Linux systems, core networking concepts (TCP/IP, routing, DNS, firewalls, load balancing), and foundational storage primitives (block, file, object, CSI drivers), with the ability to troubleshoot performance and connectivity issues across the platform stack
• Engineering collaboration tooling
  - Experience using workflow and documentation platforms such as JIRA, Confluence, Lucid, and similar tools to manage work, communicate technical designs, and maintain clear operational documentation across engineering teams

• Build, operate, and manage the lifecycle of a geographically distributed fleet of Kubernetes clusters supporting core business functions across on-prem, public cloud, and edge locations
• Develop platform capabilities and automation that simplify cluster provisioning, upgrades, configuration, security hardening, workload management, and day-2 operations at scale
• Leverage…