Senior Software & Platform Engineer

Search Services

Houston, TX, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$90,000.0 - $135,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Geographic Information Systems Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture Audit Trail User Authentication Microsoft Azure Cloud Computing Code Review Continuous Integration Data as a Services Data Validation

+34 more

Data Governance Data Infrastructure Extract Transform Load (ETL) Document Management Systems Graph Database Python (Programming Language) Key Management PostgreSQL Metadata Neo4j PostGIS Scrum Methodology Software Architecture Queueing Systems Real-Time Operating Systems Software Tools Standard Sql TypeScript Cloud Platform System ReactJS Large Language Models Multi-Agent Systems Git Fastapi Event Driven Architecture Build Management AI Platforms Git Flow Kubernetes Software Coding Restful APIs Automation Anywhere Docker Web Api

Job description

Our Client is seeking a Senior Software & Platform Engineer to lead the development of its next-generation energy intelligence platform. Reporting to the Acting CTO, this person will serve as the day-to-day technical lead, bringing together cloud infrastructure, data, forecasting, AI-enabled workflows, and customer-facing applications into a secure, scalable platform. RESPONSIBILITIES

Design and build the core cloud platform, APIs, data services, authentication, workflows, and customer workspaces
Modernize existing customer-facing applications, analytical products, reporting, and deployment frameworks
Develop canonical data models, APIs, ETL pipelines, metadata frameworks, and spatial and graph database integrations
Integrate forecasting, grid physics, benchmarking, GIS, AI services, document management, and external APIs
Build production AI workflows for data validation, document extraction, automation, quality assurance, and human-in-the-loop review
Implement secure authentication, authorization, CEII segregation, audit logging, encryption, secrets management, and secure APIs
Lead day-to-day engineering execution, including code reviews, coding standards, CI/CD, Git workflows, sprint planning, and technical estimation
Mentor developers and coordinate technical workstreams across product, data, forecasting, and engineering teams, * Modernized customer portal
Canonical data platform and production API framework
AI-enabled data workflows
Secure customer authentication
ERCOT forecasting engine integration
Benchmarking and data governance infrastructure
Beta Due Diligence Portal
Scalable production deployment architecture

Requirements

Strong software and platform engineering experience
Python
FastAPI or similar API frameworks
PostgreSQL/PostGIS and SQL
REST APIs
Git
Docker
Cloud deployment experience
Strong systems thinking and software architecture skills
Ability to translate business requirements into scalable technical solutions
Excellent communication and collaboration skills

PREFERRED QUALIFICATIONS

Microsoft Azure
Neo4j or other graph databases
Vector databases
GIS and spatial analytics
Kubernetes
React and TypeScript
Message queues and event-driven architectures
Experience with utilities, ISOs/RTOs, energy software, infrastructure analytics, engineering software, or asset management

AI & AUTOMATION

Experience integrating LLM APIs, agent frameworks, RAG, document processing, prompt orchestration, workflow automation, and AI-assisted quality assurance into production environments
This role focuses on production AI integration rather than AI model development or research

About the company

Aquent Talent

Houston, TX
$90,000-135,000 per year Aquent, a trusted partner in connecting top talent with leading organizations, is excited to support a company at the forefront of developing highly efficient, reliable, and safe i…