Role overview

Qualifications

8+ years of experience related to software engineering
A related degree or work experience, preferably a Bachelors degree in related work stream
Experience in Lean Startup or Agile development methodologies
Have a data engineering certification from any of the cloud technologies

Responsibilities

Lead the design and evolution of large-scale, cloud-native data and AI platforms
Apply an MLOps and platform engineering mindset, enabling the full ML lifecycle
Define and drive architecture standards, patterns, and best practices for AI-enabled systems
Act as a mentor and technical multiplier—review designs and code, coach senior engineers, and raise the engineering bar

Key facts

Remote from: Austria, Belgium, Brazil, Indiana (USA), Oregon (USA), Texas (USA), United States
Full time
Senior (5-10 years)
Software Engineer
English

Hard skills

Python (Programming Language) SQL (Programming Language) Machine Learning Data Engineering Data Modeling Mload Microservices Kubernetes CI/CD Infrastructure as Code (IaC) Test Automation JIRA Atlassian Confluence Agile Software Development

Other skills

Communication
Collaboration
Problem Solving

About the company

H-E-B

Retail – Supermarkets & Hypermarkets

H-E-B is headquartered in San Antonio, Texas with approximately $32 billion in revenue and 117,000+ Partners. Founded in 1905, H-E-B operates more than 400 stores in a number of formats, including superstores, supermarkets and gourmet markets. H-E-B is the #1 food retailer in the Austin, San Antonio, Houston, Corpus Christi and Rio Grande Valley markets. Our company is the largest private company in Texas and one of the 15 largest privately held companies in the U.S. Our employees are called Partners. That's because we work together to build our company and create a sense of community here in Texas. Working here is more than a job. It's a chance work with many great people and blaze an exciting career path.

Company details

Company typeXLarge

IndustryRetail – Supermarkets & Hypermarkets

Company size10001

Links

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Job description

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.

At H‑E‑B, we’re a technology‑powered company on a mission to make the lives of Texans better. Our Data Solutions organization enables innovation through scalable software systems, AI platforms, and cloud data infrastructure. With Tech Hubs in San Antonio, Austin, and Dallas, we are shaping the future of omnichannel retail through engineering excellence, ownership, and quality.

Our Data Solutions teams specialize in:

Data Modeling & Governance
Data Pipelines, Engineering, and Transformation
Data Movement & Streaming
Databases & Cloud Infrastructure (Private & Public)
Machine Learning & AI Platform Enablement

Staff Software Engineer – Data Solutions (AI Platform / GCP)

We’re looking for experienced Staff Software Engineers who operate as technical leaders, capable of setting direction, designing platforms at scale, and influencing architecture across teams. You will help shape enterprise data and AI platforms that power analytics, machine learning, and real‑time decision‑making across H‑E‑B.

This role expects deep technical expertise, strategic thinking, and strong cross‑team collaboration, with impact beyond a single product or squad.

Do you have a:
HEART FOR PEOPLE... you're willing to facilitate solutions with multiple engineers, provide upward communication, and mentor others?
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?

We are looking for:
- 8+ years of experience related to software engineering

What You’ll Do

Lead the design and evolution of large‑scale, cloud‑native data and AI platforms
Apply an MLOps and platform engineering mindset, enabling the full ML lifecycle (data ingestion, training, deployment, monitoring, iteration)
Define and drive architecture standards, patterns, and best practices for AI‑enabled systems
Build, review, and support production‑critical services, APIs, and microservices
Partner closely with Data Science, Product, Application, and Analytics leaders to translate business needs into scalable technical solutions
Own systems end‑to‑end, including reliability, observability, performance, cost efficiency, and security
Act as a mentor and technical multiplier—review designs and code, coach senior engineers, and raise the engineering bar
Influence technical direction across teams and contribute to long‑term platform strategy

Technical Skills

Advanced proficiency in Python and SQL
Strong understanding of data structures, algorithms, and distributed system design
Deep experience designing cloud‑native solutions in GCP, including Vertex AI or comparable ML platforms
Hands‑on experience with microservices architecture, REST APIs, Kubernetes, and Kafka or similar streaming platforms
Strong experience with CI/CD pipelines, infrastructure as code (Terraform), and automated testing
Comfortable working with developer tooling such as Git, Jira, and Confluence

What is your background?
• A related degree or work experience, preferably a Bachelors degree in related work stream
• 8+ years of experience related to software engineering
• Experience in Lean Startup or Agile development methodologies
• Experience working in large scale cloud infrastructure, large data sets, and mission critical SLAs
• Experience in Advanced SQL / Python.
• Have a data engineering certification from any of the cloud technologies

What Makes You a Great Fit

8+ years of progressive software engineering experience
Proven experience leading data platforms, AI systems, or ML‑enabled services at scale
Ability to operate in ambiguous problem spaces and drive clarity through technical leadership
Strong communication skills, with the ability to influence across teams and disciplines
A growth mindset and passion for cloud, AI, and emerging technologies
Commitment to engineering excellence, operational rigor, and customer impact
Desire to be part of a Partner‑owned company where leadership and ownership are core values

Can you...
• Function in a fast-paced environment with the ability to work from home and / or office
• Work extended hours; sit for extended periods

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.