Python Developer

Virtusa; Andhra Pradesh; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Virtusa is seeking an experienced Python Lead to drive design and development of Python-based enterprise solutions supporting Core Banking modernization. You will build scalable data processing frameworks, migration automation, cloud-native services, and AI-enabled solutions to accelerate operational efficiency.

The ideal candidate should have strong expertise in Python, data engineering, cloud technologies, and a foundational understanding of AI/ML and LLM technologies to support future

Qualifications

• Strong Python expertise for enterprise-grade solutions.
• Experience in data engineering and scalable data pipelines.
• Hands-on with cloud platforms and services.
• Foundational AI/ML knowledge and interest in AI-enabled modernization.
• Familiarity with LLM technologies and automation using AI methods.
• Experience integrating with Oracle/DB2 or similar databases.
• Ability to collaborate with cross-functional teams.

Responsibilities

• Lead design and development of Python applications, automation frameworks, and enterprise utilities.
• Develop scalable data ingestion, transformation, and migration solutions for high-volume banking data.
• Build RESTful APIs and backend services using Python frameworks such as FastAPI or Flask.
• Design and implement Kafka producers and consumers for real-time data streaming and event-driven architectures.
• Develop automation solutions for data reconciliation, validation, monitoring, and operational support.
• Integrate Python applications with Oracle, DB2, cloud platforms, and enterprise messaging systems.
• Collaborate with Java, Mainframe, Data Engineering, and DevOps teams to support legacy modernization and cloud migration initiatives.
• Optimize application performance, scalability, reliability, and observability across distributed environments.
• Mentor development teams, conduct code reviews, and establish engineering best practices.
• Support production deployments, incident resolution, and continuous improvement initiatives.

Skills

Python

Data engineering

Cloud tech

AI/ML basics

LLM APIs

Kafka

REST APIs

FastAPI/Flask

Oracle/DB2

DevOps collaboration

Mentoring

Job description

Role Summary

We are seeking an experienced Python Lead to drive the design and development of Python-based enterprise solutions supporting Core Banking modernization. The role involves building scalable data processing frameworks, migration automation, cloud-native services, and AI-enabled solutions to accelerate operational efficiency. The ideal candidate should have strong expertise in Python, data engineering, cloud technologies, and a foundational understanding of AI/ML and LLM technologies to support future modernization initiatives.

Key Responsibilities

• Lead the design and development of Python-based applications, automation frameworks, and enterprise utilities.


• Develop scalable data ingestion, transformation, and migration solutions for high-volume banking data.


• Build RESTful APIs and backend services using Python frameworks such as FastAPI or Flask.


• Design and implement Kafka producers and consumers for real-time data streaming and event-driven architectures.


• Develop automation solutions for data reconciliation, validation, monitoring, and operational support.


• Integrate Python applications with Oracle, DB2, cloud platforms, and enterprise messaging systems.


• Collaborate with Java, Mainframe, Data Engineering, and DevOps teams to support legacy modernization and cloud migration initiatives.


• Optimize application performance, scalability, reliability, and observability across distributed environments.


• Mentor development teams, conduct code reviews, and establish engineering best practices.


• Support production deployments, incident resolution, and continuous improvement initiatives.

AI/ML & Intelligent Automation Responsibilities (Preferred)

• Develop AI-powered automation solutions to streamline operational workflows, data validation, and engineering productivity.


• Build and integrate Python-based services leveraging Generative AI, LLM APIs, or Retrieval-Augmented Generation (RAG) where appropriate.


• Evaluate and prototype AI/ML use cases for code generation, document processing, knowledge retrieval, log analysis, and operational insights.


• Integrate AI capabilities while ensuring compliance with enterprise security, governance, and data privacy standards, particularly for PII-sensitive environments.


• Collaborate with enterprise architecture teams to identify future opportunities for Agentic AI adoption without impacting production stability