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 capabilitiesThis 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 DevelopmentBuild and maintain frontend features using React and Vite, working from design and product requirements to shipped UIDevelop backend services and APIs on Node.js with Fastify, including authentication, data access, and integration endpointsWrite clean, typed TypeScript/JavaScript across the stack and participate in code reviewContribute to shared component and service patterns used across PE’s internal platformsDatabricks AppsBuild and deploy applications on Databricks Apps, including data-backed workflows and internal toolingWork with Databricks-hosted data sources and jobs to power application featuresAI-Assisted ToolingSupport and extend AI-assisted features within PE’s tooling — retrieval-augmented generation (RAG) pipelines, vector search, and agentic workflowsImplement and consume MCP (Model Context Protocol) servers as part of integration and tooling workContribute to LangGraph-based agent flows under the direction of senior engineersDevOps & Cloud InfrastructureProvision and manage cloud infrastructure as code (Terraform, CDK, CloudFormation, etc) supporting PE’s platformsBuild and maintain GitHub Actions workflows and contribute to CI/CD pipelines across the team’s repositoriesDeploy and operate workloads on AWS; work with core services (compute, networking, IAM) in a delivery contextImplement and maintain monitoring, logging, and observability for services you buildParticipate in operational support for the systems you build What You'll Bring EducationBachelor’s degree required (Computer Science, Software Engineering, or related field; equivalent experience considered)Required2–4 years of professional software development experienceFull-stack development: TypeScript/JavaScript, React, Vite, Node.js, and Fastify (or a comparable Node framework)Working experience with GitHub, including Git workflows and GitHub ActionsCloud 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 pipelinesSome hands-on exposure to Databricks, or comparable data-platform experience with the ability to ramp quicklySome exposure to AI/LLM application development — RAG, vector databases, MCP, or agent frameworks like LangGraph — with a genuine interest in growing this skill setBehaviorsExecutes assigned work to completion — raises blockers early rather than letting work stall silentlyComfortable working across a broad technical surface without deep specialization in every layerAsks good questions and learns quickly from senior engineersDocuments what they build — code comments, READMEs, and short decision notesPreferredProduction experience with Databricks Apps specifically, rather than just Databricks notebooks/jobsHands-on experience building or consuming MCP serversExperience with vector databases or embedding-based semantic searchFamiliarity with Azure as a secondary cloudExposure to container workflows — Docker, ECR, or Kubernetes basics What You'll Get Competitive compensation and benefits packageFlexible work optionsEducational assistanceWellness and mental health programsPaid parental leaveEmployee referral programVolunteer time offLearning and development programsOffice 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.Job SummaryCategory: Information TechnologyPosition Type: Full-Time RegularLocation: US-TX-HoustonWorkplace Type: Hybrid