You'll serve as a Staff Software Engineer. Our team powers the search and recommendation experiences that help millions of Texans find the products they need and discover new favorites. Every day, H-E-B Curbside and Delivery customers perform millions of searches across hundreds of stores, each with unique catalogs and real-time inventory changes.
We build and scale the services that make product discovery possible, focusing on search relevance, query understanding, personalization, ranking and recommendations. Our engineers solve complex challenges at grocery scale while balancing customer needs, business goals, reliability and continuous experimentation to deliver better experiences with every search.
Location: Austin (On-Site)
Qualifications & Key Requirements:
Work Experience:
10+ years of professional software development experience
Experience building and evolving search, retrieval, ranking and recommendation capabilities that help customers discover products more effectively, leveraging AI-driven experiences to deliver relevant, personalized results at scale.
Strong experience developing backend services with Java
Experience building APIs and microservices using TypeScript and Node.js
Experience designing and supporting GraphQL APIs
Experience building cloud-native applications in AWS
Experience with infrastructure as code, preferably Terraform
Experience with search technologies such as OpenSearch or Elasticsearch
Experience working with NoSQL databases, including DynamoDB
Experience with event-driven architectures and streaming platforms such as Kafka or Kinesis
Strong understanding of software design, system architecture and distributed systems
Experience working in Agile environments and modern CI/CD practices
Familiarity with AI-assisted development tools and integrating AI assistants into the software development lifecycle
Knowledge/Skills/Abilities:
Expert in in multiple programming languages, technologies, and frameworks
Expert 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
Ability to review platform designs for strength of engineering solutions, namely performance, sustainability, and iterative development potential
Expert knowledge of Computer Science fundamentals: data structures, algorithms, design patterns, system architecture and design patterns
Expert understanding of the full SDLC and frameworks (Agile, Scrum, Kanban, etc.)
Approaches problem-solving holistically and considers solutions through a combination of technology and process
Identifies best approach to improve technical solutions to complex problems and effectively proposes paths forward to drive outcomes
Capable of leading large initiatives with multiple engineers including design, architecture, and delivery of multiple complex features across multiple systems / services
Education:
A Computer Science degree or comparable formal training, certification, or work experience
Physical Demands & Working Conditions:
Travel by car or plane with overnight stays
Work extended hours; sit for extended periods
Work rotating and on-call schedules, as needed
The work environment characteristics described here are representative of those a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.