Top Python Developer Jobs in Delhi

Lead and execute data and permission migration projects from on-premises and cloud sources to Egnyte. Liaise with customers and internal teams to monitor, report, troubleshoot, and escalate migration jobs. Drive technical discussions, provide implementation support, and ensure successful deployment and adoption while following SOPs and maintaining customer communication.

Six-month early-career internship building LLM-powered agent workflows and production AI components. You'll design prompts, retrieval and tool-use logic, run benchmarks, improve quality/latency/reliability/safety, contribute to backend services/APIs, and ship working prototypes alongside full-time engineers.

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 Google Cloud Engineer will design and manage GCP infrastructure, implement IaC, optimize performance, and enhance security while collaborating with teams.

The Google Cloud Data Engineer will design and implement data pipelines using Google Cloud technologies and collaborate with analysts to ensure data quality and governance.

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

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.

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

Provide valuation advisory for alternative investments: review investment documentation, design and run DCF/market/option pricing models, perform valuation and credit/structured analysis, compile financial metrics, present findings to clients and internal stakeholders, and support client relationships and industry knowledge building.

The Cloud Support Engineer will resolve customer technical issues in SaaS and private cloud environments, collaborate with teams, and contribute to documentation while advocating for customers' needs.

As a Senior II Software Engineer, you will maintain and improve software, implement solutions, conduct code reviews, and mentor team members while ensuring network security.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

Design and implement test plans, write test code, validate software/SDKs and AI models for geospatial AI products. Troubleshoot issues, collaborate with data scientists, create documentation, samples, tutorials, and develop pretrained geospatial AI models for imagery, 3D, and text.

As a Fixed Network Engineer, you will deliver technical support, troubleshoot issues, manage Jira tickets, conduct analysis, and collaborate with teams to enhance product capabilities.

Lead quality engineering vision and roadmap across product lines, drive CI/CD and release readiness, embed shift-left/shift-right practices, adopt AI-driven testing, mentor SDET managers, align quality metrics with executives, and architect test strategies for distributed systems and mobile.

Design, build, and maintain API and middleware integrations and automation for user lifecycle, IAM, RBAC, provisioning, access reviews, and ITSM workflows. Ensure secure authentication, perform data validation/reconciliation, document integration architecture, and support ITGC/audit and access governance.

Build and maintain Workday Advanced/Matrix/Composite reports and dashboards, handle complex Tier 2/3 data requests, standardize and audit report definitions and naming conventions, improve data quality and Workday configuration, translate business requirements into reporting solutions, support project lifecycle (requirements, development, testing, documentation), flag data issues, and use AI tools and scripting to assist analysis. Role requires split-shift overlap with US East Coast hours.

Internship role to design and build LLM-powered recommendation and agentic AI systems for financial and Web3 scenarios. Tasks include candidate generation, ranking, tool routing, post-training (SFT/RL), datasets and evaluation pipelines, prototyping agent workflows, and integrating prototypes into production with cross-functional teams.

Design and verify complex CPU/SoC IP by planning verification, building constrained-random UVM or C/C++ test environments, or using formal SVA tools. Debug RTL (Verilog) in simulation/emulation, write functional coverage, and close verification holes to meet tape-out requirements.

The Power BI Administrator will manage the Power BI environment, support governance, automate workflows, and ensure compliance with data standards. Responsibilities include overseeing deployment, troubleshooting issues, and mentoring stakeholders on BI best practices.

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.

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.

Develop and maintain back-end web applications, ensuring efficient integration with front-end systems, optimizing performance, and collaborating with QA for testing.

Work on CloudOps infrastructure: write Infrastructure-as-Code and automation, support cloud operations and monitoring, improve CI/CD pipelines, participate in cost-optimization and security/compliance tasks, and collaborate with engineering teams under mentorship.

Join the ROOST Osprey team to design, implement, test, and maintain a high-performance, real-time safety rules engine. Work includes building data/event pipelines, scaling and containerizing services, integrating with Kafka and gRPC, reviewing community contributions, maintaining code quality and security, and engaging with users and open source contributors to prioritize and deliver features.