Top Python Developer Jobs in Delhi

Architect and deploy a net-new Cameyo by Google environment and Google Cloud Workstations, build containerized workstation images, design GCP compute and autoscaling, implement Zero Trust access and DLP, migrate and package legacy VDI apps into browser-based delivery, and automate workspace provisioning with Terraform/PowerShell/Python/Bash while leading the migration from Citrix/VMware.

The AI Engineer will develop, implement, and maintain AI systems and algorithms, ensuring data quality and deploying models in production. They will collaborate with teams to build data pipelines and ensure AI solutions meet requirements.

Design, build, and maintain scalable ETL/ELT pipelines and lakehouse architectures on Azure Databricks. Implement batch and streaming workflows, enforce data modeling and governance, optimize Spark transformations, deploy using CI/CD and IaC, mentor junior engineers, and collaborate with data scientists to productionize ML models.

Lead architecture and hands-on delivery of production agentic AI solutions: design reusable accelerators, integrate LLMs and retrieval (RAG), ensure reliability, security, observability, and guardrails, collaborate with cross-functional teams, mentor engineers, and contribute IP, patterns, and production best practices across clients.

Design and deploy predictive models and recommendation engines for B2B distributor transaction data; clean and transform ERP-sourced datasets; produce dashboards and account-level insights to drive sales strategy; present findings to business leaders and enable scalable analytics solutions for commercial growth.

Design, implement, and maintain production ElasticSearch search solutions. Optimize performance and relevance, build indexing/crawling/ETL pipelines, troubleshoot infrastructure, and collaborate with teams to adopt best practices including RAG and AI Agents.

Develop and maintain in-house design tools (database and UI), manage portfolio and supplier/delivery data, collaborate with stakeholders to resolve operational issues, drive process improvements, ensure compliance, and lead/mentor operations staff.

The SDET II role involves testing AI-based products, ensuring quality standards, and collaborating with teams to improve models. Candidates should have experience in manual and automation testing, API testing, and a Bachelor's degree in a relevant field.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

Lead Software Engineers will design, develop, and support applications, ensuring performance and compliance with requirements, while collaborating with various teams and utilizing modern software development methodologies.

The Engineering Manager leads the Data Engineering team, overseeing the design of scalable data pipelines using AWS technologies, mentoring engineers, and collaborating with stakeholders on data-first initiatives.

The Site Reliability Engineer will develop and maintain complex distributed systems, optimize operations, and ensure system stability while collaborating with various teams.

Provide real-time, text-based mentoring and feedback for middle and high school students preparing for math contests and STEM classes. Answer questions, give hints, and encourage students during live weekly classes (Sundays 7:20–9:00 pm ET). Assist with contest-focused and regular subject classes in math, Python, physics, and chemistry.

Design, build, and deploy forecasting and predictive ML models for sales, inventory, transportation, and transit time. Collaborate cross-functionally to productionize solutions, optimize operations and costs, monitor models, and communicate insights to senior stakeholders to drive strategic decisions.

Lead BI platform strategy, manage reporting tools, build scalable dashboards and data products, architect agentic AI for self-service analytics, partner with stakeholders and data teams, and champion BI governance and best practices.

Lead technical direction and implementation across the team from design through deployment. Oversee architecture, repository management, code reviews, and complex bug fixes. Collaborate with product and design, ensure secure performant solutions, mentor engineers, and promote best practices in Agile delivery and enterprise-scale system design.

Own and automate end-to-end incentive calculation pipelines, translate business rules into auditable data workflows, build monitoring and reconciliation dashboards, ensure accuracy and auditability across multiple products and countries, and partner with Sales, Finance, and field teams to resolve discrepancies and support escalations.

As a Staff QA Engineer, you'll define test strategies, drive automation plans, and validate complex systems within optical networking, collaborating across teams to improve quality.

As a Senior QA Engineer, you will lead the testing and automation of optical networking systems, ensuring quality and performance through various testing strategies.

As a SW QA Engineer 2, you'll develop and automate testing for Optical DWDM Equipment, focusing on protocol testing and system security. You'll contribute to test planning, execute tests, and collaborate with cross-functional teams to enhance quality and ensure feature delivery.

As a Staff QA Engineer, you will shape quality strategy for optical networking solutions, define test strategies, and collaborate with cross-functional teams for quality improvements.

As a Senior QA Engineer, you will design test strategies and automation for optical networking solutions, ensuring quality and performance through manual and automated testing, and collaborating with engineering teams.

Lead design, develop, test, and deploy UiPath RPA solutions; analyze processes for automation, build reusable frameworks, integrate APIs and systems, implement IDP, mentor developers, and manage bot lifecycle and performance.

The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.

Lead the technical direction for infrastructure systems, ensuring reliability and scalability while managing incident response and project delivery in collaboration with teams.