Top Python Developer Jobs in Gurgaon

The IBM Netcool Probe Specialist designs and supports event management solutions, focusing on reliability in telecom environments through automations and integrations.

Full-stack developer responsible for designing and deploying features for a private markets SaaS platform, integrating AI/GenAI for data enrichment, managing production on Azure, improving CI/CD and automated testing, and collaborating with the engineering team to resolve incidents and enhance product quality.

Lead and mentor full-stack engineering teams to design, build, and operate a cloud-native Private Markets SaaS platform. Drive AI/GenAI integration, own product delivery lifecycle, enforce CI/CD and testing best practices, and align technology strategy with business stakeholders to deliver scalable, production-quality solutions.

Lead a team of software engineers in developing internal tools and platforms. Balance managerial and engineering responsibilities while enhancing team efficiency and productivity.

As a Software Engineer, you'll build and maintain internal tools and platforms, collaborating with teams to enhance workflows and efficiency.

The Lead Software Engineer develops and maintains microservices for fighting financial crime, engages with stakeholders, mentors teams, and oversees architecture practices.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

The role involves collaborating with teams to design and implement technology solutions, manage project tasks, mentor junior staff, and ensure high-quality deliverables.

The ICT Architect will design and develop open-source-based Generative AI tools, ensuring security and scalability while collaborating across teams. Responsibilities include architecting services, implementing APIs, and integrating analytics systems.

Lead Infrastructure AI and Automation team, integrating AI-driven solutions and enhancing IT operations with a focus on cloud and automation. Oversee technical leadership, AI solutions deployment, and innovations in developer tools.

The role involves designing, implementing, and managing network infrastructure, optimizing performance, and collaborating with cross-functional teams on DevOps integration.

The Associate Testing QA Engineer is responsible for designing and executing test plans, conducting testing, identifying defects, and improving QA processes, requiring collaboration with developers and maintaining test environments.

Develop scalable data solutions and interactive web applications using Python, Databricks, and React. Collaborate with teams to create efficient workflows and ensure seamless user experiences.

Contribute to testing strategy and execution, automate test cases, and collaborate with team members to enhance testing processes. Mentor junior analysts.

As a Senior Analytics Engineer I, you will design and develop analytics solutions, ensuring data integrity and driving insights across MongoDB's datasets.

The DevSecOps Engineer will design, implement, and monitor secure, fault-tolerant infrastructure and evolve Build & Release practices while collaborating with teams to improve developer productivity and environment monitoring.

As a DevOps Architect, you will lead architecture and automation strategies for 4G/5G networks, enhance CI/CD pipelines, and drive cloud-native solutions while collaborating with various engineering teams.

The role involves leading the development of a tech-enabled platform for Securities Lending, improving business processes through automation and workflow innovation, while collaborating with various teams and building out a solutions team.

The role involves architecting and building a scalable data platform to support investment analytics, requiring leadership in engineering best practices and technical proficiency in data and cloud technologies.

Collaborate with teams to gather technical requirements, design features, write production-ready code, and manage ML lifecycle in a consulting environment.

The Software Engineer II will own data pipelines, model deployment, and production-level AI solutions while collaborating with teams to optimize AI/ML initiatives at Mastercard.

Design and deliver scalable and secure solutions, managing stakeholder expectations, mentoring teams, and ensuring high availability in production environments.

Seeking a Software Engineer to develop scalable AI application infrastructure, mentor peers, and improve distributed systems performance.

The Senior Staff Engineer will lead the design and implementation of a new platform for AI applications using MongoDB, mentor engineers, and improve system performance and scalability.

As a Technical Lead, you'll design data pipelines, ensure system reliability, mentor junior engineers, and collaborate with product teams. You will also contribute to engineering culture by applying best practices.