Technical Architect

About the Opportunity

Our client develops an industry-leading digital plant management and operational software platform used by major global manufacturers—specifically within the Food & Beverage sector—to unify production, quality control, and compliance.

We are seeking an urgent, long-term Technical Architect or Tech Lead to join the core team in Grapevine, Texas. This is a highly collaborative, hands-on engineering leadership role. Because you will be interacting directly with localized manufacturing platform frameworks and core engineering teams, this position requires working onsite in Grapevine, TX 4 days a week (with 1 day work-from-home).

Note: Previous title is secondary. We are looking for an engineering leader who balances strong technical fundamentals with practical problem-solving, solution design, hands-on coding, and true end-to-end ownership. We are open to strong Lead candidates who demonstrate Architect-level thinking.

Core Responsibilities & Deliverables

• Solution Architecture: Design scalable, maintainable, and practical software solutions for a high-throughput plant management platform.
• Hands-on Coding & Execution: Actively participate in coding, white-boarding, and architectural prototyping; this is not a purely conceptual or managerial role.
• System Ownership: Take complete accountability for technical outcomes across multiple layers of the stack, avoiding siloes or component-only boundaries.
• Technical Leadership: Guide the engineering team, lead system design discussions, and evaluate trade-offs confidently before proposing final directions.
• Stakeholder Presentation: Articulate complex technical alternatives and defend architectural decisions clearly to both technical and business executives.

Technical Requirements & Qualifications

• Experience: 10 to 15 years of professional software engineering experience.
• Background Preference: Highly value candidates from product-focused environments, start-ups, or small organizations where you owned complete solutions end-to-end. (Candidates whose experience is primarily limited to large-enterprise environments with narrowly defined responsibilities may not be the best fit).
• Engineering Fundamentals: Mastery of object-oriented design, SOLID principles, design patterns, clean code practices, API/service design, fault tolerance, and security.
• Data Structures & Algorithms: Strong capability to reason through complex algos and solve real-world problems via active whiteboard coding.
• Database Expertise: Exceptional understanding of data modeling, relational databases, query optimization, indexing, transactions, concurrency, and data integrity.
• System Design: Deep experience designing for massive scalability, high availability, performance optimization, and cross-system integration.

Interview Structure & Focus

Candidates must be prepared for a rigorous evaluation focused on execution, architecture trade-offs, and communication:

1. Internal Rounds: 1 st Technical Interview + 2 nd Technical Interview & Prep Call.
2. Client Rounds: 1 st Virtual Technical Interview + 2 nd  Technical In-Person Interview (Mandatory at the Grapevine, TX office).

Compliance & Workforce Policies

• Work Authorization:
• Engagement Model: Open to established independent 1099 contractors holding a valid Certificate of Insurance (COI) and active business registration.

About Harbinger: (
Harbinger is a global Advisory-Led Performance Enablement company. For more than three decades, we’ve partnered with organizations in the people business, helping Enterprises, B2B SaaS vendors, and Digital Publishers close the gap between where workforce and learning performance is today and where it needs to be.
We work across Workforce Technology and Digital Learning domains. In each, we diagnose the friction limiting performance first, then engineer the fix, combining strategic advisory with digital product engineering and eLearning content development to deliver solutions built around the workflows, metrics, and outcomes each workforce owns.
Our pedigree in product engineering and digital learning has built a culture of continuous learning. We apply technologies like Agentic AI where they deliver measurable performance gains for our customers not because they’re new, but because they close the gap.