Top Python Developer Jobs in Gurgaon

The Data Engineer will design and maintain data pipelines using Azure Databricks, enhancing performance and scalability, and support production environments in a fast-paced, Agile environment.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

Giga is seeking a Senior Software Engineer to build real-time AI agents, focusing on backend development with Python and cloud proficiency.

Giga seeks a Staff Backend Engineer with strong Python and cloud experience to build AI agents for customer experience. Must have 8+ years in engineering, preferably in startups.

The Data Engineer will develop and optimize data pipelines, work with cloud platforms, manage data solutions, and collaborate with teams to fulfill business data requirements.

The Senior DevOps Engineer will design, develop, and maintain AWS cloud infrastructure for a SaaS business, focusing on collaboration and documentation, and managing CI/CD pipelines.

Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.

Develop and maintain backend solutions for Machine Learning infrastructure. Collaborate on large scale software design and project management.

As a QA Automation Engineer, you'll design and maintain automation frameworks, collaborate with teams on testing strategies, and ensure product quality through automation and manual testing efforts.

The Principal Data Engineer will lead development of data infrastructure, guide data engineering teams, optimize data pipelines, and implement best practices for data management and analytics.

The Senior Backend Developer will design and implement scalable APIs, manage cloud infrastructure, and work within a microservices architecture. Responsibilities include developing microservices, optimizing backend performance, and collaborating with cross-functional teams.

The Engineering Manager leads platform administration and operations, oversees integration of AI tools, ensures governance, and provides user support while managing technical deployments and documentation.

The SDET role involves designing and maintaining automated test frameworks, developing test scripts, integrating automation in CI/CD pipelines, and collaborating with project teams.

The Cloud Infrastructure Engineer will be responsible for architecting and building scalable and secure AWS infrastructure for PayPay's payment systems, ensuring reliability and performance through automation and management of resources.

Responsible for Testing and Validation of Ethernovia's software, including designing test cases, implementing test strategies, and adhering to functional safety practices.

Responsible for developing embedded firmware for Ethernovia's networking devices, focusing on architecture, testing, and integration for safety-critical automotive applications.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

As a Lead Data Engineer, drive innovative data analytics projects, manage engineering roles, and leverage AWS and Python to transform data solutions.

The Lead Data Engineer will design, develop, and maintain data pipelines and data warehouse infrastructure, ensuring data accuracy and collaboration with data teams.

The QA Engineer will improve test automation frameworks, ensure new features operate well in production, and enhance testing infrastructure for ClickHouse's cloud services.

As a Python Developer, you will design efficient scripts, create data visualizations, and optimize data processing pipelines while collaborating with teams to gather requirements.

The Support Engineer will ensure reliability of databases and trading systems by monitoring and resolving production issues, enhancing stability, and building automation.

Monitor and troubleshoot network issues, support production and end-user networking, assist with network changes, and support data center operations.

The role involves designing test artifacts, performing end-to-end testing, maintaining test environments, and collaborating with global teams for software deployment.

As an AI Architect, you will lead AI strategy, design and implement AI systems, oversee model evaluation, and ensure data ethics, driving innovation in a collaborative environment.