Python Backend Developer

Rose International
Rutherford, NJ, United States
11 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$166,400.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Unit Testing Databases Information Engineering Extract Transform Load (ETL) Data Mining Relational Databases Software Debugging Programming Tools Distributed Data Store Distributed Systems
+27 more
Apache Hadoop Apache Hive Python (Programming Language) MySQL NumPy Object-Oriented Software Development OpenShift Microsoft Copilot Service-Oriented Architecture Unstructured Data Data Processing Enterprise Software Applications Data Ingestion Large Language Models Apache Spark Generative AI Backend Pandas Containerization Kubernetes Information Technology Data Analytics Api Design Restful APIs Data Pipelines Docker Microservices

Job description

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., 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.

Requirements

Backend Python development, REST APIs, microservices, and ETL/data pipelines experience (5-7 yrs), Python backend engineering, distributed systems, and data processing experience (5-7 yrs), Experience with distributed data tools (e.g., Hadoop, Spark, Hive) (5-7 yrs), Familiarity with LLMs and GenAI technologies (5-7 yrs)

Required Minimum Education: Bachelor’s Degree

C2C is not available, Bachelor’s degree in Computer Science, Data Science, Engineering, or related field, 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, 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

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