Top Python Developer Jobs in Delhi

The Senior Solutions Engineer will drive sales and customer success, presenting solutions, mentoring teams, managing technical projects, and advocating for customer needs within Netskope's cloud security offerings.

The Senior Platform Engineer will design and manage a secure Azure infrastructure, focusing on Kubernetes, automation, and CI/CD. Responsibilities include mentoring, ensuring high availability, and embedding security best practices.

The Principal SW Development Engineer at Nokia develops embedded Optical Line System software, oversees feature delivery, manages technical requirements, and leads teams while ensuring quality and improvement of products and processes.

Responsible for firmware testing, delivering quality results, managing testing strategies and automation for optical instruments, and debugging technical issues. Requires collaboration in a cross-functional environment to improve product quality and performance.

The Staff SW Development Engineer will develop embedded Optical Line System software, collaborating across teams and ensuring timely, quality delivery of features through continuous integration.

The Senior Systems Support Engineer will provide system support for SAAS and Linux applications, troubleshoot issues, mentor team members, and enhance system monitoring. Requires expertise in Azure and cloud technologies, with a focus on AI application support.

As a Senior AIOps Engineer, you will ensure AI and ML systems are reliable and efficient in production, collaborating with teams to improve observability, model performance, and infrastructure stability.

Design and implement MCP servers in Python, develop API integrations, ensure security, and contribute to the internal AI platform while collaborating with engineering teams.

Join Speechify to lead data collection efforts for AI model training, optimizing cloud infrastructure and collaborating on dataset roadmaps for improving text-to-speech products.

The SRE Manager will lead and develop teams focused on building scalable infrastructure, overseeing DevOps processes, and enhancing system reliability through automation and best practices while ensuring compliance and security.

The role involves designing critical backend components, developing high-performance applications, mentoring engineers, and ensuring operational excellence in a Java-based environment.

Responsible for testing software on Akamai's distributed network by developing automation frameworks and executing tests, ensuring performance and reliability.

The Senior Software Engineer - SRE will design and operate scalable AWS infrastructure, manage Kubernetes platforms, optimize CI/CD systems, and enhance operational reliability through automation and observability.

The Senior Technical Consultant engages with customers, troubleshoots integration challenges, implements solutions, and collaborates across teams while maintaining documentation.

The Technical Consultant configures, tests, and troubleshoots BA Insight components, ensures implementation adherence, supports integrations, and collaborates with teams to resolve technical issues.

The Technical Consultant will support configuration, testing, and troubleshooting of BA Insight components. Responsibilities include implementation support, technical troubleshooting, testing, documentation, and team collaboration, focusing on a back-end role. Required qualifications include a background in software configuration and understanding of enterprise systems and integration.

The Senior Machine Learning Engineer will design, develop, and deploy AI systems, focusing on Generative AI and LLM integration across various business operations, ensuring high performance and scalability.

As a Senior QA Engineer, you'll ensure quality in optical networking solutions through test design, automation, and collaboration with engineering teams. Responsibilities include developing test plans, executing tests, and providing quality insights for product reliability.

As a Staff QA Engineer, you will define testing strategies for optical networking, ensuring quality and reliability through manual and automated testing, collaborating with teams on system features, and analyzing defects.

AI Developers will develop, test, and deploy AI models, engage in data engineering, integrate AI APIs, collaborate on solutions, and optimize existing models.

The role involves Linux and Oracle administration, scripting, CI/CD processes, and DevOps practices. Responsibilities include user management, application installation, and job monitoring.

The Google Cloud AI Specialist will design and implement AI solutions using Google Cloud Platform to enhance decision-making and provide actionable insights, develop machine learning models, and ensure data quality.

The role involves evaluating and modernizing existing applications using Google Cloud technologies, guiding clients through migration, and implementing cloud-native architectures while optimizing performance and security.

Design and maintain the GCP infrastructure and DevOps practices, implement CI/CD pipelines, optimize resources, and enhance application performance.

The Big Data Engineer will design and develop scalable data solutions, build data pipelines, ensure data quality, and collaborate across teams.