Software Engineer, Field & Operational Technology Solutions
Listed on 2026-08-03
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Software Development
Full Stack Developer, Backend Developer, AI Engineer (Applied/Software), Software Engineer
Software Engineer, Field & Operational Technology Solutions
Quanta Services is seeking a Software Engineer, Field & Operational Technology Solutions to join our Corporate Information Technology team, reporting to the Senior Manager, Enterprise Applications. Historically, Quanta bought its operational technology, defaulting to third-party platforms that were never designed for our industry. This is changing. With a modern enterprise data platform (Databricks) and an empowered Corporate IT team, Quanta increasingly builds targeted solutions of its own — integrated with our systems of record and grounded in how the work actually happens in the field.
This role is where those solutions get built. Working alongside a product owner who brings the vision and the field context, you are the engineer who turns concepts and requirements into working, production-grade software that operating companies depend on. This is a hands-on engineering role — you own the code, the data model, and the architecture, and you are accountable for what you ship all the way into production.
We are looking for a pragmatic builder who delivers working software, not a whiteboard architect. Priority build areas include fleet, procurement, project management, and safety.
Build Production Software
- Turn concepts and field requirements into working, production-grade applications, writing clean, maintainable full-stack code and taking real ownership of what you build;
- Move quickly, using AI-assisted development where it earns its place, without ever treating speed as an excuse for fragility; and
- Build across priority solution areas including fleet, procurement, project management, and safety.
Own the Architecture and Data Model
- Design the data models, APIs, and application architecture underneath each solution;
- Make the calls on how data is structured, how services talk to each other, and how a tool built for one operating company can generalize across many without collapsing under its own complexity.
Integrate with the Enterprise
- Build integrations and data pipelines against systems of record such as JD Edwards, construction and telematics platforms, and the Databricks lakehouse; and
- Ensure the tools you build read from and write to trusted enterprise data rather than to yet another disconnected copy.
Secure and Operate What You Ship
- Build to Quanta security standards, implementing authentication, two-factor, and role-based access control as a matter of course;
- Own reliability — when something breaks in production, you are the person who understands it and fixes it; and
- Build the logging, monitoring, and documentation that make that possible.
Harden and Make It Maintainable
- Take prototypes and rapidly built proofs of concept and turn them into software a team can maintain — version-controlled, documented, and structured so the next engineer can pick it up; and
- Treat knowledge that lives only in one person's head as a liability, and never build that way.
Partner with the Product Owner and the Field
- Work hand in glove with the product owner who sets the vision and carries the field relationships;
- Translate operational problems into sound technical designs and give honest feedback when an idea will not work or is not worth the cost; and
- Propose the simpler path when one exists — the partnership only works if you are candid.
- 7 or more years of professional software development experience, building and shipping applications that real users depend on;
- Strong full-stack ability — comfortable across a modern back end (Python strongly preferred) and a web front end, able to own a feature from database to interface;
- Solid command of relational databases and data modeling, with the judgment to design schemas that hold up as requirements grow;
- Experience designing and building REST APIs and integrating disparate systems, including third-party platforms with imperfect documentation;
- Disciplined engineering practice: fluent with Git-based version control, code review, testing, and thorough documentation as a default rather than an afterthought;
- A practical grasp of application security: authentication, two-factor, role-based access…
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