Job Title
This is a development position responsible for designing, building, and implementing scalable backend applications and microservices within the Technology team.
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
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.
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