Python Developer

Rkube; Edison (NJ); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Rkube is seeking motivated Full Stack Software Developers to join a Forward Deployed Engineer program supporting LTI Mindtree. The program includes a 10-week intensive training 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 in Dallas, TX or Edison, NJ.

Qualifications

• Minimum 3 years of professional software development experience.
• Strong Python proficiency including OOP, async, typing, testing.
• Experience building UIs with SPA frameworks (React/Angular/Vue).
• Experience designing, developing, and consuming RESTful APIs.
• Backend development with frameworks such as FastAPI.
• Familiarity with API authentication, authorization, and data validation.
• Experience with SQL relational databases.
• Experience with NoSQL databases.
• Experience with AWS, Azure, or Google Cloud Platform.
• Experience developing and deploying cloud-native applications.
• Knowledge of Docker and Kubernetes.
• Familiarity with CI/CD and DevOps practices.
• Knowledge of Git and collaborative workflows.
• Exposure to Large Language Models and AI-assisted tools.

Skills

3+ years exp

Python OOP

SPA frameworks

REST APIs

FastAPI

Auth & validation

SQL

NoSQL

Cloud platforms

Cloud-native

Docker

Kubernetes

CI/CD

Git

LLMs & AI tools

Communication

Relocation willingness

Tools

Docker

Kubernetes

Git

Job description

Job DescriptionWe 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 supporting LTI Mindtree. 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.

Required Skills

• 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.
• 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 Skills

• 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.