Senior Python Backend Developer (Microservices, FastAPI & GenAI)

Rose International; Rutherford (NJ); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Rose International is seeking a senior backend engineer in the Technology team to design, build, and scale Python-based services and APIs. You will develop data processing systems and RESTful endpoints supporting enterprise applications and analytics in a hybrid, global setting.

You will apply OOP principles, drive testing and deployment standards, and contribute to a microservices ecosystem while leveraging evolving GenAI and LLM capabilities to solve complex business problems.

Qualifications

• 5–7 years of backend development with Python.
• Strong proficiency in Python and libraries (NumPy, Pandas).
• Experience building REST APIs and working with microservices or SOA.
• Experience with data processing/ETL pipelines or data engineering concepts.
• Familiarity with LLMs and GenAI technologies.
• Understanding of distributed systems and backend integration patterns.
• Ability to work independently and collaboratively in a global team.

Responsibilities

• Design, develop, and implement scalable backend systems using Python, focusing on microservices and API-driven architecture.
• Build and maintain RESTful APIs and backend services for data ingestion, processing, and integration.
• Develop data processing pipelines for structured and unstructured data.
• Collaborate with global Technology teams across multiple time zones in a hybrid environment.
• Apply OOP principles and backend engineering best practices.
• Resolve complex technical challenges through analysis of system flows and processes.
• Ensure solutions align with enterprise architecture, performance, and scalability requirements.
• Establish and follow coding, testing, debugging, and deployment standards in backend environments.
• Perform data extraction, transformation, and analysis to support business use cases.
• Implement unit testing and TDD to ensure reliability and maintainability of backend services.
• Contribute to the microservices ecosystem and inter-service communications.
• Support integration of LLMs and GenAI capabilities into backend systems and workflows.
• Mentor junior developers and promote strong engineering standards.
• Identify and manage risks, ensuring regulatory compliance and governance.

Skills

Python

REST APIs

Microservices

Data processing

LLMs

Distributed systems

Team collaboration

Education

Bachelor’s degree in Computer Science/Data Science/Engineering

Tools

Docker

Kubernetes/OpenShift

Hadoop/Spark/Hive

MySQL

Job description

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

Required Education

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

Required Qualifications/Skills/Experience

• 5–7 years of experience developing backend systems and services using Python
• Strong proficiency in Python and related libraries (e.g., NumPy, Pandas)
• Experience building REST APIs and working in microservices or service-oriented architectures
• Experience with data processing, ETL pipelines, or data engineering concepts
• Familiarity with LLMs and GenAI technologies
• Understanding of distributed systems and backend integration patterns
• Ability to work independently and collaboratively in a global team

Preferred Qualifications/Skills/Experience

• Experience with distributed data tools (e.g., Hadoop, Spark, Hive)
• Knowledge of databases (e.g., MySQL or other relational databases)
• Familiarity with containerization (Docker) and orchestration (Kubernetes/OpenShift)
• Background in financial services, banking, or risk environments
• Experience with AI developer tools such as Copilot

Overview

This is a development position responsible for designing, building, and implementing scalable backend applications and microservices within the Technology team. The role focuses on developing robust Python-based services, APIs, and data processing systems that support enterprise applications and analytics.

As part of this role, you will be responsible for data extraction and analysis from structured and unstructured sources, while leveraging emerging technologies such as LLMs and GenAI to deliver efficient and innovative backend solutions to complex business problems.

Job Duties

• Design, develop, and implement scalable backend systems using Python, with a focus on microservices and API-driven architecture
• Build and maintain RESTful APIs and backend services for data ingestion, processing, and integration
• Develop data processing pipelines to handle structured and unstructured data
• Collaborate with global Technology teams across multiple time zones in a hybrid environment
• Apply Object-Oriented Programming (OOP) principles and backend engineering best practices
• Drive resolution of complex technical challenges through analysis of system flows and business processes
• Ensure solutions align with enterprise architecture, performance, and scalability requirements
• Establish and follow standards for coding, testing, debugging, and deployment in backend environments
• Perform data extraction, transformation, and analysis to support business use cases
• Implement unit testing and TDD to ensure reliability and maintainability of backend services
• Contribute to the microservices ecosystem, including service integration and inter-service communication
• Support the integration of LLMs and GenAI capabilities into backend systems and workflows
• Mentor junior developers and promote strong engineering and coding standards
• Identify and manage risks, ensuring compliance with policies, regulatory requirements, and governance standards
• Only those lawfully authorized to work in the designated country associated with the position will be considered.
• Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.

About Rose

• Founded in 1993
• Office Locations Across the U.S.
• 150+ Clients: Corporations and Government Agencies
• Employee Oriented Company
• Challenging Assignments Across the U.S.
• Continuous Professional Development

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