Principle Software Engineer

Rehrig Pacific Company•Richardson, TX

About The Position

The Principal Software Engineer is a senior hands-on technical leader responsible for designing and delivering scalable enterprise software solutions. This role drives modern application architecture, cloud-native development, enterprise integrations, RFID-enabled solutions, and data platforms while improving system performance, reliability, security, and engineering efficiency. The role also champions the responsible adoption of AI-assisted and Agentic Development Lifecycle (ADLC) practices to enhance software quality, maintainability, developer productivity, and delivery outcomes.

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field.
Minimum 10 years of hands-on software development experience, including delivery of enterprise-scale software solutions.
Strong experience designing and delivering solutions using C#, .NET, APIs, object-oriented programming, secure coding practices, and modern application architecture patterns.
Experience with microservices, distributed systems, REST APIs, asynchronous processing, messaging, integration patterns, and secure application design.
Experience delivering cloud-native applications, preferably using AWS services, containers, CI/CD pipelines, Infrastructure as Code, automated testing, deployment automation, observability, and operational support practices.
Ability to apply responsible AI-assisted and Agentic Development Lifecycle practices across architecture, .NET coding, database development, report development, testing, documentation, deployment, and support.
Experience integrating ERP, CRM, manufacturing systems, IoT devices, and cloud services.
Strong knowledge of Kafka, messaging systems, event streaming, API gateways, and enterprise integration patterns.
Experience designing and delivering RFID, IoT, and supply chain technology solutions for manufacturing, warehouse, logistics, and asset-tracking operations.
Knowledge of enterprise RFID architectures, industry standards, and real-time event processing.
Knowledge of EPC Gen2, RAIN RFID, serialization, commissioning, RFID middleware, and real-time event processing.
Experience integrating RFID readers, handheld devices, barcode scanners, industrial printers, sensors, and automation equipment.
Extensive experience designing and optimizing high-volume transactional systems, enterprise data platforms, and reporting solutions with a focus on performance, scalability, security, and reliability.
Expertise in data architecture, data modeling, query optimization, indexing, partitioning, replication, and high-availability solutions across SQL Server, MySQL, Oracle, and DynamoDB.
Experience delivering enterprise analytics and reporting solutions using Power BI, Amazon Quick Suite (formerly QuickSight), real-time analytics, and large-scale data processing platforms.

Nice To Haves

Previous experience as a Principal Engineer or Staff Engineer is highly desirable.
Experience in Boomi is preferred.

Responsibilities

Designs and delivers scalable enterprise software solutions that meet business, security, reliability, performance, and maintainability requirements.
Leads hands-on development for complex capabilities, critical enhancements, integrations, and production issues.
Applies AI-assisted and Agentic Development Lifecycle practices to improve requirements clarity, solution design, code quality, test coverage, documentation, and production readiness.
Translates business needs into resilient application designs, implementation plans, and production-ready software.
Designs and influences application architecture for secure, maintainable, and scalable enterprise platforms.
Applies modern architecture patterns and engineering standards to improve quality, consistency, and long-term supportability.
Partners with engineering leadership, DevOps, infrastructure, security, and business stakeholders to align solutions with enterprise expectations.
Develops high-quality software using C#, .NET, APIs, object-oriented programming, secure coding standards, and modern engineering practices.
Leads code design, code review, refactoring, troubleshooting, and implementation of complex application capabilities.
Applies AI-assisted development practices to support coding, unit test generation, defect analysis, documentation, and code modernization while validating all generated outputs before release.
Delivers cloud-native application capabilities and secure integration solutions across internal systems and third-party platforms.
Influences API design, integration patterns, event-driven solutions, and data exchange practices to support reliable business operations.
Works with platform, security, infrastructure, and DevOps partners to ensure solutions align with reliability, automation, monitoring, and security practices.
Provides hands-on technical leadership, design guidance, code review, and mentoring to software engineers across assigned initiatives.
Helps teams evaluate tradeoffs, resolve complex technical challenges, and deliver solutions with appropriate quality controls.
Identifies opportunities to improve developer productivity, software quality, system performance, delivery efficiency, and production support effectiveness.
Coach teams on responsible AI-assisted development, including prompt quality, review discipline, secure handling of information, validation of generated outputs, and appropriate use of approved tools.
Identifies opportunities to improve developer productivity, software quality, system performance, and delivery efficiency.
Designs secure APIs with OAuth2, OpenID Connect, JWT, and modern authentication mechanisms.
Applies AI-assisted and Agentic Development Lifecycle (ADLC) practices to database design, data integration, query optimization, reporting, data quality validation, and documentation.