Python Senior Technical Lead - DevOps

Chennai, Tamil Nadu

Job Summary

Designs, develops, and enhances enterprise Python and Django applications that support business operations and digital initiatives. Delivers scalable, secure, and reliable software solutions through application development, system integration, database optimization, and data transformation. Collaborates with Business Analysts, architects, and cross-functional teams to translate business requirements into technical solutions, improve operational efficiency, and support innovation through DevOps practices and emerging Generative AI capabilities.

Key Responsibilities

Design and develop Python and Django applications that are scalable, secure, and maintainable.

Implement UI components using CSS, Bootstrap, jQuery, or similar technologies as needed.

Develop integrations with internal and external systems using REST, SOAP, and WSDL‑based services.

Create and optimize SQL queries, database structures, and data access logic to support application features.

Work with Business Analysts and stakeholders to translate functional requirements into technical specifications and solutions.

Implement accurate data mappings and transformations in accordance with business and technical requirements.

Contribute to code reviews, follow established coding standards, and ensure high‑quality deliverables.

Support the implementation and maintenance of DevOps pipelines using Git and Azure DevOps.

Contribute to the integration of GenAI capabilities—including GPT models, embeddings, and agent‑based components—into enterprise applications.

Troubleshoot issues across the application stack and collaborate closely with peers to resolve technical challenges.

Collaborate with other developers and contribute to engineering best practices and coding standards.

Skill Requirements

4-7 years of hands-on experience with Python and Django, including enterprise application development.

2+ years of experience with SQL development, optimization, and database design.

At least 1–2 years of hands-on experience implementing Generative AI technologies, including GPT models, embeddings, and agent-based solutions.

1-2 years of experience in Angular.

1-2 years of experience in LLM prompt engineering.

Working knowledge of application architecture, system integration, and service-oriented architecture (SOA) principles.

Experience working with DevOps tools and practices, including Git, Azure DevOps, CI/CD pipelines, and automated deployments.

Advanced understanding of REST, SOAP, WSDL, and large‑scale service integrations.

Other Requirements

GENERAL QUALIFICATIONS

Exceptional verbal and written communication skills.

Strong analytical and problem‑solving abilities.

Proven ability to work effectively in fast‑paced, collaborative environments.

EDUCATION REQUIREMENTS

Bachelor’s degree in Computer Science, MIS, or a related field.

Advanced certifications in Python, cloud technologies, or GenAI are preferred but not required.

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