60 Rethink Software Engineer Jobs Hiring Near You

Job Summary:
H-E-B Digital Technology is focused on enhancing customer digital experiences and is seeking a Staff Software Engineer to provide end-to-end support for applications. This role involves improving codebases, solving technical problems, and influencing technical direction across the organization.
Responsibilities:
• Define and evolve system architecture across services and domains
• Drive simple, scalable, and maintainable designs that reduce long-term complexity
• Evaluate and introduce technologies that deliver measurable impact
• Ensure systems are loosely coupled, observable, and designed for change
• Align multiple teams around a clear architectural direction and shared patterns
• Own production outcomes, not just delivery
• Ensure systems are observable with metrics, logs, and traces
• Drive improvements in reliability, recovery, and operational excellence
• Ensure teams can detect and respond to issues before customers are impacted
• Lead efforts to improve system health across services and domains
• Leads cross-team technical coordination for complex production issues and drives long-term remediation and reliability improvements across integration and messaging platforms.
• Lead initiatives that span multiple teams and systems
• Resolve ambiguity across domains and drive alignment among stakeholders
• Identify and remove systemic friction that slows down delivery
• Influence engineering standards, practices, and technical direction across the organization
• Lead adoption of AI-driven and agentic engineering practices
• Use AI agents as a primary tool to accelerate design, development, testing, and operations
• Identify opportunities to automate repetitive engineering work using agents
• Optimize model selection based on task complexity, performance, and cost
• Help teams rethink workflows to take advantage of AI-first ways of working
• Drive integration of AI into the full software lifecycle to improve speed and quality
• Ensure work is shaped and sequenced to deliver meaningful outcomes
• Balance speed, quality, and cost in technical decision making
• Lead large, complex initiatives from design through delivery
• Drive clarity in priorities and ensure alignment with organizational goals
• Raise the bar for engineering quality and technical excellence
• Mentor engineers and help grow technical capability across teams
• Promote a culture of ownership, accountability, and continuous improvement
• Share knowledge and build strong relationships across teams
• Recommends and drives changes to processes and tools across teams at the group / department level based on industry standards, patterns, and best practices
• 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
Qualifications:
Required:
• A Computer Science degree or comparable formal training, certification, or work experience
• 7+ years of experience in software development
• Expert 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
• Experience with common software engineering tools (e.g., Git, Jira, Confluence)
• Extensive experience successfully producing consistent, high-quality results
• 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.)
• Deep expertise in software engineering fundamentals, including data structures, algorithms, system design, and architecture
• Proven experience designing and operating distributed systems at scale
• Ability to influence across teams without formal authority
• Strong understanding of reliability, performance, and security considerations in modern systems
• Experience delivering complex initiatives that span multiple teams or domains
• Comfort working in ambiguous environments and driving clarity
• Experience with event-driven architectures and messaging systems such as Apache Kafka, Google Pub/Sub, or Tibco EMS, with an understanding of how they enable scalable, loosely coupled systems
• Define and evolve system architecture across services and domains
• Drive simple, scalable, and maintainable designs that reduce long-term complexity
• Evaluate and introduce technologies that deliver measurable impact
• Ensure systems are loosely coupled, observable, and designed for change
• Align multiple teams around a clear architectural direction and shared patterns
• Own production outcomes, not just delivery
• Ensure systems are observable with metrics, logs, and traces
• Drive improvements in reliability, recovery, and operational excellence
• Ensure teams can detect and respond to issues before customers are impacted
• Lead efforts to improve system health across services and domains
• Leads cross-team technical coordination for complex production issues and drives long-term remediation and reliability improvements across integration and messaging platforms
• Lead initiatives that span multiple teams and systems
• Resolve ambiguity across domains and drive alignment among stakeholders
• Identify and remove systemic friction that slows down delivery
• Influence engineering standards, practices, and technical direction across the organization
• Lead adoption of AI-driven and agentic engineering practices
• Use AI agents as a primary tool to accelerate design, development, testing, and operations
• Identify opportunities to automate repetitive engineering work using agents
• Optimize model selection based on task complexity, performance, and cost
• Help teams rethink workflows to take advantage of AI-first ways of working
• Drive integration of AI into the full software lifecycle to improve speed and quality
• Ensure work is shaped and sequenced to deliver meaningful outcomes
• Balance speed, quality, and cost in technical decision making
• Lead large, complex initiatives from design through delivery
• Drive clarity in priorities and ensure alignment with organizational goals
• Raise the bar for engineering quality and technical excellence
• Mentor engineers and help grow technical capability across teams
• Promote a culture of ownership, accountability, and continuous improvement
• Share knowledge and build strong relationships across teams
• Systems are more reliable, observable, and easier to evolve
• Teams move faster with fewer blockers and clearer direction
• Cross-team initiatives deliver meaningful outcomes
• AI and automation are integrated into daily engineering workflows
• Engineering standards and practices improve across the organization
• Approaches problem solving holistically, balancing technology, process, and people
• Makes pragmatic tradeoffs that optimize for long term value
• Acts as a technical leader and trusted partner across the organization
• Recommends and drives changes to processes and tools across teams at the group / department level based on industry standards, patterns, and best practices
• 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
• Travel by car or plane with overnight stays
• Work extended hours; sit for extended periods
• Work rotating and on-call schedules, as needed
Company:
H-E-B is headquartered in San Antonio, Texas with approximately $50 billion in revenue and 175,000+ Partners. Founded in 1905, the company is headquartered in San Antonio, USA, with a team of 10001+ employees. The company is currently Late Stage.