Systems Engineer, Platform Engineering

About Us

Every moment of every day, people around the world rely on the energy they access through infrastructure built by Quanta. Comprising the largest skilled-labor force in North America, our employees are highly skilled and innovative, continually working to connect people and power. We’re building the infrastructure that supports the energy transition, and there are more opportunities than ever to be part of our team. Join us and build your career building a brighter future.

Imagine what you could do here. We encourage, inspire, and support our people to seize opportunities in our corporate office and with hundreds of our operating companies worldwide that provide solutions for the utility, renewable energy, electric power, industrial, and communications industries.

Quanta actively promotes and maintains a culture of belonging where all employees can be themselves, live their values, and find opportunities to succeed. When you join our team, you join a dynamic organization in which career development is encouraged, excellence is rewarded, and diversity is prized. Come find out how our people power modern life.

About this Role

Platform Engineering builds and operates the internal platforms Quanta’s IT Transformation runs on — self-service cloud provisioning, an AI assistant that acts as the front door to IT, and the integrations that power them. This role is a hands-on development position on the Platform Engineering team: you’ll build full-stack features, ship apps on Databricks, and extend our tooling’s AI-assisted capabilities

This is a delivery-focused role for someone comfortable moving across a full-stack surface — frontend, backend, and applied AI — without needing deep specialization in any one layer yet. You’ll work alongside senior engineers who provide context and direction, and you’re expected to carry assigned work from ticket to production with minimal hand-holding.

What You'll Do

Full-Stack Development

Build and maintain frontend features using React and Vite, working from design and product requirements to shipped UI

Develop backend services and APIs on Node.js with Fastify, including authentication, data access, and integration endpoints

Write clean, typed TypeScript/JavaScript across the stack and participate in code review

Contribute to shared component and service patterns used across PE’s internal platforms

Databricks Apps

Build and deploy applications on Databricks Apps, including data-backed workflows and internal tooling

Work with Databricks-hosted data sources and jobs to power application features

AI-Assisted Tooling

Support and extend AI-assisted features within PE’s tooling — retrieval-augmented generation (RAG) pipelines, vector search, and agentic workflows

Implement and consume MCP (Model Context Protocol) servers as part of integration and tooling work

Contribute to LangGraph-based agent flows under the direction of senior engineers

DevOps & Cloud Infrastructure

Provision and manage cloud infrastructure as code (Terraform, CDK, CloudFormation, etc) supporting PE’s platforms

Build and maintain GitHub Actions workflows and contribute to CI/CD pipelines across the team’s repositories

Deploy and operate workloads on AWS; work with core services (compute, networking, IAM) in a delivery context

Implement and maintain monitoring, logging, and observability for services you build

Participate in operational support for the systems you build

What You'll Bring

Education

Bachelor’s degree required (Computer Science, Software Engineering, or related field; equivalent experience considered)

Required

2–4 years of professional software development experience

Full-stack development: TypeScript/JavaScript, React, Vite, Node.js, and Fastify (or a comparable Node framework)

Working experience with GitHub, including Git workflows and GitHub Actions

Cloud infrastructure experience with AWS preferred, including basic infrastructure-as-code (Terraform, CDK, CloudFormation, etc)

CI/CD pipeline experience — building, maintaining, or troubleshooting automated build and deployment pipelines

Some hands-on exposure to Databricks, or comparable data-platform experience with the ability to ramp quickly

Some exposure to AI/LLM application development — RAG, vector databases, MCP, or agent frameworks like LangGraph — with a genuine interest in growing this skill set

Behaviors

Executes assigned work to completion — raises blockers early rather than letting work stall silently

Comfortable working across a broad technical surface without deep specialization in every layer

Asks good questions and learns quickly from senior engineers

Documents what they build — code comments, READMEs, and short decision notes

Preferred

Production experience with Databricks Apps specifically, rather than just Databricks notebooks/jobs

Hands-on experience building or consuming MCP servers

Experience with vector databases or embedding-based semantic search

Familiarity with Azure as a secondary cloud

Exposure to container workflows — Docker, ECR, or Kubernetes basics

What You'll Get

Competitive compensation and benefits package

Flexible work options

Educational assistance

Wellness and mental health programs

Paid parental leave

Employee referral program

Volunteer time off

Learning and development programs

Office amenities and perks

Equal Opportunity Employer

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.We are an Equal Opportunity Employer, including disability and protected veteran status. We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company’s Human Resources department.