Top Python Developer Jobs in Gurgaon

Seeking an experienced Full Stack Developer with 8+ years expertise in backend and React UI, overseeing high-quality development, collaborating on modern web solutions, and driving performance optimization.

The Azure DevOps Engineer will design, implement, and manage Azure DevOps infrastructure, CI/CD pipelines, and automate deployment processes, while ensuring system reliability and security.

As a Custom Software Engineer, you will develop custom software solutions tailored to business needs, utilizing modern frameworks and agile practices. Responsibilities include coding, performance testing, automation framework design, and collaborating with stakeholders to ensure high-quality deliverables.

The Custom Software Engineer designs and builds applications for specific business needs, collaborates with teams, and continuously improves software performance.

Develop and engineer end-to-end features for AI applications, focusing on rapid prototyping, enterprise integrations, and cloud-native solutions.

Design and build scalable agentic AI systems and RAG pipelines using LangGraph/LangChain and vector databases. Architect multi-agent orchestration, implement security guardrails, optimize LLM performance and costs, and lead productionalization from POC to high-availability systems while mentoring engineers and collaborating with product and data teams.

The Automation Engineer will develop, optimize, and enhance automation solutions using various technologies to improve operational efficiency and support scalable digital capabilities.

Develop verification and validation strategies, automate testing frameworks, perform manual testing, and collaborate in agile ceremonies to improve QA processes.

The Site Reliability Engineer will oversee daily operations, implement SRE principles, drive reliability improvements, and enhance observability and resiliency across applications and services.

The role involves developing test strategies, creating test cases, performing manual and automation testing, and contributing to QA process improvements while participating in agile ceremonies.

As a Full-stack & ETL Developer, you will design, develop, and maintain features across our data-driven web application, working closely with teams to ensure efficient data workflows and reports.

The QA Data Specialist develops test strategies for data engineering and AI systems, ensuring data quality and implementing AI testing techniques to optimize processes across various platforms.

The Cloud Infrastructure Engineer will build and operate scalable BI infrastructure using Azure and AWS, focusing on automation, CI/CD pipelines, and ensuring system reliability and performance.

The Cloud Platform & AI Engineer will enhance cloud automation, security, and AI capabilities while designing frameworks for public cloud infrastructure and ensuring secure cloud adoption.

The Director of Engineering for KKR's Investment Systems will lead the technical and cultural development of the Gurugram engineering team, oversee platform ownership, and drive hiring and team cohesion in a global context.

The Senior Localization Engineer will develop localization technologies, support project managers, optimize localization processes, and troubleshoot production issues.

Lead the creation and execution of test strategies for complex programs, focusing on automation and collaboration with teams to ensure project success.

The Endpoint Performance Specialist will optimize Windows 11 imaging and performance, automate deployment workflows, and troubleshoot complex issues, focusing on enhancing digital employee experience.

The Senior Infrastructure Engineer will architect and enhance observability systems, troubleshoot infrastructure issues, and collaborate with teams to improve performance and reliability.

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.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

The GCP Engineer focuses on developing large scale data engineering solutions using GCP, including data pipelines and ETL processes for Fortune clients.

The Fullstack Engineer will develop and maintain backend and frontend systems for data projects. Responsibilities include integration, UAT participation, and documentation creation.

The Network Domain Lead ensures high performance of complex network infrastructures, managing escalations, troubleshooting issues, optimizing networks, and supporting implementation while mentoring junior teams.

Design and implement end-to-end data solutions, manage scalable data pipelines, ensure data governance, and collaborate with teams to meet data architecture requirements.