Top Python Developer Jobs in Gurgaon

As a QA Engineer, you will create and improve automated tests for cloud systems, ensuring quality in product features and driving continuous improvement initiatives.

The Engineering Manager will lead QA initiatives for cloud-based systems, focusing on test automation, defect management, and team mentorship while ensuring high product quality.

As an Azure Data Engineer, you will develop solutions for large-scale projects, utilizing Azure technologies and software engineering practices to innovate and maintain data services.

Join the Product Engineering Experience team to enhance developer productivity by automating processes, implementing CI/CD, and leveraging AI in a regulated fintech environment.

As a Senior R&D Solution Architect, you'll design and govern cloud-native applications, utilizing AI to translate stakeholder needs into solutions, while ensuring adherence to security and regulatory standards.

The DevOps Engineer will manage deployments, maintain environments, and implement CI/CD solutions, focusing on Kubernetes and automation tools while ensuring DR drills and infrastructure management.

Design, operate, and support multi-cloud (AWS, Azure, GCP) infrastructure with parity across tenancy models. Build automation and self-service tooling using Terraform, Kubernetes, Helm, ArgoCD, Python, Bash, and Go. Improve reliability, observability, and developer experience, reduce cloud spend, and participate in an on-call rotation while collaborating with Architecture, Release, Product, and Security teams.

The Senior Site Reliability Engineer will manage cloud infrastructure, develop internal DevOps tools, and enhance automation for application deployment and management.

Teikametrics seeks a Senior Site Reliability Engineer to manage cloud infrastructure, improve DevOps practices, and support application deployment using technologies like Docker and Kubernetes.

Seeking a Senior SDET to ensure quality of large-scale data systems, focusing on test automation, performance tuning, and collaboration with teams. Responsibilities include creating test plans, automating tests, and enhancing testing processes.

The Staff Engineer, QA Automation will lead mobile and API testing, leveraging strong skills in automation, CI/CD practices, and collaboration within Agile teams.

Responsible for developing strategic solutions using Agile methodologies and microservices, leading applications systems analysis, and programming activities. Requires strong technical expertise and collaboration with management to enhance systems and processes.

The role involves developing and implementing application systems, conducting feasibility studies, providing user support, ensuring compliance, and developing risk management solutions.

The Senior Network Infrastructure Engineer will support NVIDIA's cloud network, manage incidents, engage with vendors, and work on network upgrades. Responsibilities include monitoring network health, operational improvements, and developing workflow enhancements.

Seeking an experienced Platform Engineer to design and manage secure AWS cloud platforms, focusing on cloud infrastructure, DevSecOps, and automation while supporting AI/ML workloads.

The SDET will ensure high-quality software delivery through test automation, developing comprehensive testing strategies, and facilitating defect management and quality assurance.

Seeking a Software Engineer to build and maintain scalable backend applications, troubleshoot issues, and collaborate with other team members in a fast-paced trading environment.

Design and implement a high-frequency automated trading system, optimize performance, and support modules, while aiding in team growth.

Lead a data and analytics team for life sciences, developing cloud-based data solutions, managing MDM processes, and driving Generative AI applications.

Develop robust applications using C# and .NET technologies. Collaborate on features, implement best practices, and troubleshoot software defects.

Fractal Analytics seeks a Hacker-Mind AI Engineer for rapid prototyping of AI solutions, problem-solving, and collaboration with teams and clients, leveraging cutting-edge technologies.

The Senior Hardware Engineer collaborates with software developers to architect low-latency connections, builds Ethernet-based communication stacks, integrates network stacks, and manages data processing efficiently.

The role involves building and implementing workflows, conducting technical validations, assisting in pre-sales, driving customer onboarding, and enhancing internal tools while ensuring solutions are effective and efficient for enterprise customers.

The Senior Engineering Manager is responsible for implementing ERP data solutions, bridging business and technical requirements, maintaining system architecture, and collaborating globally with teams to ensure high availability and reliability of services.

The Data Engineer will develop and maintain microservices and data pipelines using GCP technologies, collaborate with Agile teams, and address business requirements by delivering scalable data-driven solutions.