Software Architect - Houston, TX (onsite)
Quanta Infrastructure Solutions Group · Houston, TX · 2 wk ago
RemoteRemoteEngineeringFull-time
About This Role
As a Software Architect, you will define and lead the technical foundation for how software is designed, built, deployed, and scaled across QISG. You will serve as the senior technical authority on high-impact initiatives, ensuring solutions are robust, secure, maintainable, and aligned to business needs.
What You'll Do
- Define reference architectures, engineering standards, and reusable frameworks that guide how software is built across the organization.
- Establish best practices for CI/CD, testing, deployment, observability, versioning, and production support.
- Create scalable, production-grade platforms that enable analytics, automation, and AI-powered workflows.
- Ensure software solutions are secure, governed, and aligned with enterprise standards (identity, access control, data classification, and risk management).
- Configure observability and monitoring for applications, including AI-enabled systems, to track performance, usage, and reliability.
- Mentor and elevate engineering teams through design reviews, pair programming, coaching, and technical leadership.
- Partner directly with executives and business leaders to translate strategy into scalable technical solutions.
- Continuously improve engineering maturity by introducing reusable assets, accelerators, and standardized patterns.
You'll Bring
- 8+ years of experience in software engineering, solutions architecture, ML/AI engineering, or technical consulting.
- A Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or related field (or equivalent experience).
- Strong software engineering fundamentals including version control, testing, CI/CD, and production-grade system design.
- Strong proficiency in modern programming languages such as Python and/or JavaScript/TypeScript.
- Experience designing and delivering full-stack systems in production environments.
- Working knowledge of enterprise security principles including IAM, data classification, and system governance.
- Experience with modern AI and software engineering tools including LLMs, agents, RAG, prompt/context engineering, and AI-assisted development.
- Proven experience taking systems from prototype to production, including monitoring, evaluation, scaling, and reliability engineering.
- Demonstrated ability to lead complex, multi-stakeholder technical initiatives with measurable business impact.
- Strong executive communication skills with the ability to translate technical decisions into business outcomes.
Required
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or related field (or equivalent experience).
- 8+ years of experience in software engineering, solutions architecture, ML/AI engineering, or technical consulting.
- Strong software engineering fundamentals including version control, testing, CI/CD, and production-grade system design.
- Strong proficiency in modern programming languages such as Python and/or JavaScript/TypeScript.
- Experience designing and delivering full-stack systems in production environments.
- Working knowledge of enterprise security principles including IAM, data classification, and system governance.
- Experience with modern AI and software engineering tools including LLMs, agents, RAG, prompt/context engineering, and AI-assisted development.
- Proven experience taking systems from prototype to production, including monitoring, evaluation, scaling, and reliability engineering.
- Demonstrated ability to lead complex, multi-stakeholder technical initiatives with measurable business impact.
- Strong executive communication skills with the ability to translate technical decisions into business outcomes.
PREFERRED
- Experience in energy, utilities, EPC, infrastructure, or other field-based industries.
- Experience building scalable internal platforms, frameworks, or developer accelerators.
- Experience establishing engineering practices in fast-scaling or transformation environments.
- Exposure to Claude, Anthropic APIs, or AI-native development tooling.
- Experience in forward-deployed or customer-facing engineering roles.