Top Python Developer Jobs in Delhi

The DevOps Monitoring Engineer will build and support monitoring infrastructure for Zoom's communication products, ensuring uptime and stability.

The Analytics Engineer will lead the data platform's development, manage data integrations, design ETL/ELT pipelines, and ensure data quality for insights and decision-making.

The Sr. Backend Developer will design and maintain backend services and APIs, lead development efforts, write optimized code, mentor juniors, and ensure system reliability while collaborating on product requirements.

As a Senior Software Engineer, you will lead backend development for AI products, mentor a team, and ensure system reliability and performance.

The role involves designing high-performance backend components, leading a small engineering team, building a bot runtime platform, and fostering technical excellence while ensuring system reliability and compliance.

The Azure DevOps Engineer is responsible for managing Azure cloud infrastructure, optimizing CI/CD pipelines, maintaining Linux systems, and ensuring security compliance.

As a Database Performance Engineer, you'll optimize queries, collaborate with customers and teams on performance issues, and improve database configurations for peak efficiency.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

As a Staff Software Engineer in SRE, you will design and implement robust CI/CD pipelines, enhance infrastructure reliability, troubleshoot applications in cloud setups, and share best practices across teams. Your expertise in DevOps, Kubernetes, and automation will drive organizational efficiency and stability in software delivery.

The Cloud FinOps Analyst will develop financial models, manage cloud budgets, provide usage insights, and collaborate on cost optimization in a multi-cloud environment.

The Senior QA Engineer will design and execute quality strategies for AI features, build automation, and validate data within Agile environments.

The DevOps Engineer will lead test network management, oversee operations in a VMware environment, modernize infrastructure, and mentor engineering teams.

The Azure DevOps Engineer will manage Azure infrastructure, optimize CI/CD pipelines, maintain Linux systems, and ensure security compliance.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

Manage and optimize large-scale Linux server infrastructure, ensuring uptime, security, and performance, while collaborating with DevOps and Network teams.

The Proofpoint Sr. Engineer will support, implement, and troubleshoot Proofpoint email security systems, focusing on client needs and system optimization.

The Azure DevOps Engineer will manage Azure infrastructure, optimize CI/CD pipelines, and maintain Linux systems, ensuring security and efficiency.

Design and implement AI/ML solutions for workforce management, focusing on forecasting, scheduling, and LLM integration, while collaborating cross-functionally.

As a Solutions Engineer, you'll work closely with national security partners to develop and deploy software solutions, while providing technical consultation and support.

The Senior MLOps Engineer will design and maintain MLOps pipelines using AWS SageMaker and Apache Airflow, overseeing model lifecycle management, CI/CD processes, and collaborating with cross-functional teams to operationalize ML models.

As a DevRel Engineer, you'll manage documentation, troubleshoot user setups, create tutorials, collaborate with engineering, and engage with the community.

As a Senior Site Reliability Engineer at GoDaddy, you will enhance operational standards, manage release processes, implement infrastructure, and mentor junior team members while collaborating with development teams.

Design and maintain backend services, develop user interfaces, manage infrastructure, and ensure system performance for BeamNG's engineering team.

The role involves designing security solutions, collaborating with researchers to enhance threat detection, and optimizing system performance in a fast-paced environment.

The ML Product Owner will shape the supply chain platform by developing forecasting capabilities, collaborating with teams to enhance decision-making using machine learning.