Software developer
Barclays · Chennai · Posted 2026-07-18
Tech stack: Python, SQL
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About the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Responsibilities:
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
Qualifications:
- Strong programming skills in Python with experience in APIs, microservices, and integrating AI models into enterprise systems
- Work extensively with Pandas and NumPy for data analysis and manipulation.
- Work experience in file processing libraries and other python libraries.
- Work extensively with testing frameworks (unit test / pytest).
- Manage structured and unstructured file handling using CSV, JSON, XML, and APIs.
- Collaborate with data analysts, data engineers, and other developers on project requirements
- Experience with Jupyter Notebooks or similar data science environments.
- Familiarity with databases (SQL/NoSQL).
- GIT/Any other version control tool & Sonarqube
- Understanding of SDLC/Agile methodology/Scrum/Agile Central/JIRA
- You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills.
- This role is based in Pune.
Qualifications
- Strong programming skills in Python with experience in APIs, microservices, and integrating AI models into enterprise systems
- Work extensively with Pandas and NumPy for data analysis and manipulation.
- Work experience in file processing libraries and other python libraries.
- Work extensively with testing frameworks (unit test / pytest).
- Manage structured and unstructured file handling using CSV, JSON, XML, and APIs.
- Collaborate with data analysts, data engineers, and other developers on project requirements
- Experience with Jupyter Notebooks or similar data science environments.
- Familiarity with databases (SQL/NoSQL).
- GIT/Any other version control tool & Sonarqube
- Understanding of SDLC/Agile methodology/Scrum/Agile Central/JIRA
- You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills.
- This role is based in Pune.
Responsibilities
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools.
- Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.