Staff Software Engineer (Search & Recommendations) Java/Typescript-Austin, TX

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.

• 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