Top Python Developer Jobs in Delhi

The Principal Solution Architect is responsible for designing and proposing cloud-native data solutions, managing technical teams, and ensuring successful project delivery while providing architectural guidance.

Lead architecture, design, and implementation of AI systems. Collaborate with teams to develop AI features and evaluate model performance. Mentor engineers and oversee technical execution.

The Perl Engineer will design and implement software, integrate systems, troubleshoot problems, and support project estimations, focusing on user experience improvements.

Design and develop products using Clojure(script) and Python. Own product improvements based on customer feedback and develop single page applications. Enhance engineering culture and practices.

The Lead Rubrik Backup Engineer IV is responsible for designing and implementing enterprise backup and disaster recovery solutions, serving as a technical escalation point and driving innovation through automation in collaboration with different teams.

The Senior Storage Backend Developer will implement cloud-native products, mentor engineers, and improve performance and scalability of Platform9's Kubernetes ecosystem.

The Data Engineer is responsible for designing and maintaining data pipelines, ensuring data quality, and integrating data for analysis using advanced technologies such as Snowflake and AWS.

Lead end-to-end delivery of software applications, manage complex projects, mentor engineers, drive architectural decisions, and improve development processes.

Develop algorithms and financial models linking ESG data with financial outcomes, focusing on automation, data analysis, and tool development.

The Senior Django/Python Software Engineer will develop and enhance a digital platform, collaborating with various stakeholders to build backend systems, design data models, and improve APIs while ensuring product quality through testing Best practices.

As a Senior BI Engineer, you will design scalable data solutions, manage data pipelines, conduct data analysis and visualization, and empower stakeholders with actionable insights.

The QA Engineer will be responsible for planning and executing software testing, writing test cases, bug filing, and maintaining testing documentation.

The Data Engineer will design and build scalable data pipelines using technologies like Microsoft Fabric, Databricks, and SQL while ensuring data quality and governance.

The Senior Software Engineer will implement and integrate the Acceldata platform, develop custom solutions, troubleshoot issues, and document processes.

As a Sr. Big Data Engineer, you will tackle customer big data challenges using Databricks, guide strategic projects, and support client system integrations.

Design and maintain data pipelines, optimize performance, collaborate with teams, ensure data quality, and implement governance best practices.

The Data Scientist will analyze complex datasets, develop predictive models, and derive insights to support business objectives using advanced statistical methods.

The Platform Engineer will design, build, and maintain scalable infrastructure for applications, collaborating with developers to optimize performance and ensure reliability.

Seeking a Principal Engineer with 13+ years of full stack development experience, specializing in Python (FastAPI) and ReactJS. Responsibilities include code quality, solution design, team leadership, and troubleshooting.

Lead the QA team in developing and implementing comprehensive testing strategies, ensuring quality software delivery through collaboration and continuous improvement.

Lead quality assurance initiatives by developing test automation frameworks, mentoring junior engineers, and ensuring high-quality software delivery through collaboration and continuous improvement.

As a Senior Software Engineer, you'll design and maintain backend systems, APIs, and automation flows, working collaboratively with a consulting team.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

The role involves driving client value in climate reporting, overseeing carbon inventories, mentoring, and improving product features while staying updated on climate regulations.

Design and develop AI data architecture and API, manage databases, collaborate for AI integration, and optimize models for performance.