Top Tech Jobs & Startup Jobs in Pune

Design, develop, test, and deploy scalable backend-to-UI applications using modern practices (microservices, serverless, CI/CD). Participate in estimation, architecture, debugging, documentation, and cross-team integrations while ensuring security and operational excellence.

The Senior Software Engineer at Equifax will design and develop cloud-native applications and microservices, using modern practices to enhance system performance and scalability, while collaborating with global teams.

Develop, test, deploy, and maintain high-scale backend-to-UI applications. Diagnose and resolve performance issues, participate in estimations, architecture discussions, CI/CD and cloud-based development, integrate systems, document code, and work within an agile team to deliver sprint commitments and troubleshoot production issues.

This role involves analyzing data, optimizing processes, integrating data sources, and communicating insights to stakeholders while ensuring compliance and governance.

The Senior Data Engineer role involves developing data pipelines, ensuring data quality, mentoring junior engineers, and implementing security best practices in cloud environments.

The Software Engineering Manager leads cross-functional teams, oversees technical projects, ensures software compliance, drives stakeholder engagement, and develops long-term technical vision.

Lead Software Engineers at Equifax will manage teams, collaborate on architecture, develop cloud-native solutions, ensure compliance, and drive technical documentation.

Lead the transformation of the software development lifecycle by enhancing GitHub Copilot's capabilities for autonomous code generation and incident management. Define the strategic roadmap, design system architectures, manage integrations, establish performant and secure frameworks, and mentor engineering teams while collaborating with stakeholders.

As a Senior AI Engineer, you will architect and deploy AI solutions, lead a technical team, integrate AI models, and ensure reliable production systems on Google Cloud Platform while collaborating with cross-functional teams.

As a Data Engineer, you will manage project progress, analyze data queries, perform data quality checks, and maintain documentation, while supporting data models and pipelines.