
11 - 50 employees
Founded 2010
🤖 Artificial Intelligence
đź’Ľ Consulting
🤝 B2B
Artificial Intelligence • Consulting • B2B
Ontrac Solutions is an AI-first technology services firm that helps organizations design, implement, and scale AI-driven systems, cloud architectures, and enterprise platform integrations. They provide AI strategy and generative AI implementation (including RAG and intelligent search), cloud migration and optimization (multi-cloud architecture, Kubernetes, Terraform, GitOps, and FinOps), data and integration engineering, CRM/CMS/e-commerce platform development, and embedded technical talent / staff augmentation to move AI from experimentation into production. With innovation hubs in Chicago and Karachi, Ontrac focuses on delivering production-ready AI and cloud solutions that drive measurable business outcomes.
🔥 14 minutes ago
🌽 Illinois – Remote
đź’µ $80 - $100 / hour
⏳ Contract/Temporary
đźź Senior
🧑‍💻 Full-stack Engineer
đź‘» Ghost score 20%
Cloud
Docker
Google Cloud Platform
Gradle
Java
JavaScript
JUnit
Maven
Mockito
Node.js
Postgres
React
Spring
Spring Boot
SpringBoot
SQL
Terraform
TypeScript
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11 - 50 employees
Founded 2010
🤖 Artificial Intelligence
đź’Ľ Consulting
🤝 B2B
Artificial Intelligence • Consulting • B2B
Ontrac Solutions is an AI-first technology services firm that helps organizations design, implement, and scale AI-driven systems, cloud architectures, and enterprise platform integrations. They provide AI strategy and generative AI implementation (including RAG and intelligent search), cloud migration and optimization (multi-cloud architecture, Kubernetes, Terraform, GitOps, and FinOps), data and integration engineering, CRM/CMS/e-commerce platform development, and embedded technical talent / staff augmentation to move AI from experimentation into production. With innovation hubs in Chicago and Karachi, Ontrac focuses on delivering production-ready AI and cloud solutions that drive measurable business outcomes.
• Own features end to end across the React frontend, Node.js service layer, and PostgreSQL data model • Design and implement application features spanning the React frontend, Spring Boot backend, and PostgreSQL schema • Build React components and views from Figma mockups provided by the design team • Design and evolve the PostgreSQL data model, including authoring SQL and writing schema migrations • Build and maintain the REST API layer between the frontend and Spring Boot services • Develop and maintain supporting Node.js services and their integration with the Spring Boot backend • Write unit tests for new and modified code as part of the standard development workflow • Deploy and configure application components on Google Cloud Platform, including runtime services, the managed database, and object storage • Set up and maintain CI/CD pipelines covering build, test, and deployment for Java and Node.js components • Participate in working sessions with the engagement team and customer stakeholders to define requirements and technical approach • Produce technical documentation covering architecture, API contracts, and the data model • Work closely with the Engagement Lead, Program Manager, and customer stakeholders from initial definition through final delivery
• 8+ years of professional software engineering experience delivering production web applications • Bachelor's degree in Computer Science or a related field, or equivalent practical experience • Backend development in Java with Spring Boot, including REST API design, Spring Data JPA or an equivalent persistence layer, and Spring Security • Frontend development in React, including state management and integration with backend APIs • Working proficiency in Node.js for building and maintaining supporting services, including REST API design and one common framework (Express, Fastify, or NestJS) • Ability to translate Figma mockups into production React components • Relational data modeling in PostgreSQL, including authoring SQL queries, joins, and schema migrations • Writing unit tests and maintaining test coverage as part of the development workflow, using tools such as JUnit and Mockito on the Java side • Deployment and operation of applications on Google Cloud Platform, for example Cloud Run, Cloud SQL, and Cloud Storage • Proficiency with Git-based version control and pull request workflows • TypeScript across frontend and Node.js services • Build tooling for Java projects, Maven or Gradle • Containerization with Docker • CI/CD pipeline configuration, Cloud Build or GitHub Actions • Infrastructure as code with Terraform • Google Cloud certification, Associate Cloud Engineer or Professional Cloud Developer • Integration and end-to-end testing experience beyond the unit level
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