Python Developer

RKube Inc
Dallas, TX, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$61,000 - $66,000
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Software Applications User Authentication Microsoft Azure Cloud Computing Cloud Engineering Databases Continuous Integration
+42 more
Data Validation Information Engineering Software Debugging DevOps Web Development Distributed Systems Revision Control Systems Design of User Interfaces Python (Programming Language) Machine Learning NoSQL Object-Oriented Software Development Performance Tuning Software Deployment Software Engineering SQL Databases TypeScript Google Cloud Cloud Platform System Spring Cloud GitHub Copilot ReactJS Large Language Models Generative AI Backend Agentic-AI Git Fastapi Vue.js Single Page Application Containerization AngularJS Kubernetes Codebase Data Management Machine Learning Operations Claude Asynchronous Programming Restful APIs GPT Docker Microservices

Job description

  • Full Stack Software Development * Cloud Engineering & DevOps * AI/LLM Application Development * Agentic AI Workflows * Containerization & Kubernetes * CI/CD Automation * Data Platforms & APIs * Customer-Facing Solution Delivery * Production Deployment & Operational Excellence

Requirements

Forward Deployed Engineer (Full Stack Developer) - 3+ Years Experience

Experience: 3+ years Primary Stack: Python, JavaScript/TypeScript, FastAPI, SQL/NoSQL, Cloud Platforms, Containers, CI/CD, GenAI Tools Role Type: Full Stack Software Engineer / Forward Deployed Engineer

Role Overview

We are seeking motivated Full Stack Software Developers with a minimum of 3 years of professional software engineering experience to join a specialized Forward Deployed Engineer (FDE) program ,Candidates will participate in an intensive 10-week Forward Deployed Engineer training program focused on modern software engineering, cloud-native development, AI-enabled applications, and customer-facing solution delivery. Training can be completed remotely, followed by onsite deployment at client locations.

As a Forward Deployed Engineer, you will work directly with business stakeholders and engineering teams to design, develop, deploy, and optimize scalable applications and AI-powered solutions. This role requires strong technical fundamentals, problem-solving skills, and the ability to bridge the gap between business requirements and technical implementation.

Successful candidates must be willing to work onsite following training in one of the designated client locations, * 3+ years of professional software development experience building production-ready applications.

  • Strong programming fundamentals with hands-on experience in Python, including Object-Oriented Programming (OOP), asynchronous programming, type annotations, testing, and working with production codebases.

  • Experience developing web applications using JavaScript and/or TypeScript.

  • Hands-on experience building user interfaces using modern Single Page Application (SPA) frameworks such as React, Angular, Vue.js, or similar.

  • Experience designing, developing, and consuming RESTful APIs.

  • Familiarity with backend application development using frameworks such as FastAPI or equivalent server-side technologies.

  • Understanding of API authentication, authorization, and data validation patterns.

  • Experience working with relational databases and SQL.

  • Working knowledge of NoSQL database technologies.

  • Hands-on experience with at least one major cloud platform such as AWS, Azure, or Google Cloud Platform.

  • Experience developing and deploying cloud-native applications.

  • Understanding of containerization technologies such as Docker.

  • Familiarity with container orchestration platforms such as Kubernetes or similar technologies.

  • Experience working with CI/CD pipelines and modern DevOps practices.

  • Knowledge of source control systems and collaborative development workflows using Git.

  • Understanding of software debugging, testing, and performance optimization.

  • Exposure to Large Language Models (LLMs) and AI-assisted development tools such as GitHub Copilot, Claude, ChatGPT, or similar technologies.

  • Strong analytical and problem-solving skills with the ability to learn new technologies quickly.

  • Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders.

  • Willingness to participate in a 10-week training program and relocate/work onsite in Dallas, TX or Edison, NJ after successful completion.

Preferred Qualifications

  • Experience building AI-powered applications or integrating LLM-based solutions.

  • Knowledge of cloud architecture, distributed systems, and microservices.

  • Exposure to machine learning, data engineering, or MLOps concepts.

  • Experience working in Agile software development environments., Candidates must be legally authorized to work in the United States and be able to meet client onboarding requirements.

Benefits & conditions

Dallas, TX

Training Pay: $61,000 - $66,000 annually Project Pay: $76,000 - $81,000 annually

Edison, NJ

Training Pay: $69,000 - $74,000 annually Project Pay: $84,000 - $89,000 annually

Work Authorization

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