Top Python Developer Jobs in Delhi

Build and support full-stack business applications using Zoho Creator and Catalyst. Responsibilities include data modeling, Deluge and Node.js development, serverless APIs, third-party integrations, front-end interfaces, testing, deployment, documentation, UAT support, and troubleshooting. The role requires understanding business requirements and communicating technical decisions to consultants and non-technical clients.

Leads global employee listening strategy, survey portfolio expansion, instrument design, statistical and text analysis, executive communication, manager action planning, and Qualtrics governance. Connects employee insights with business outcomes while ensuring confidentiality, GDPR compliance, cross-cultural validity, and effective stakeholder delivery across regions.

Design and deliver scalable AWS data platforms, including cloud data lakes, warehouses, batch and streaming pipelines, and SQL- and Python-based transformations. Build reliable, fault-tolerant data workflows using AWS services, Spark, and PySpark. Own solutions from development through production support, including performance tuning, cost optimization, troubleshooting, security, and compliance. Collaborate with architects, clients, product owners, DevOps, QA, and global stakeholders while contributing to technical design reviews and engineering best practices.

Design and develop scalable AWS data platforms, data lakes, warehouses, and batch or streaming pipelines. Build SQL and Python-based transformations using Spark and AWS services, optimize performance and costs, troubleshoot production issues, and ensure security, reliability, and scalability. Own delivery from development through production support while collaborating with architects, DevOps, QA, clients, and business stakeholders. Contribute to technical design reviews, coding standards, documentation, and continuous improvement.

Design and operate fault-tolerant, performance-critical backend infrastructure across AWS and GCP. Build serverless services, REST and WebSocket APIs, secure cloud deployments, and scalable AI workflows including fine-tuning and inference pipelines. Develop custom AI agent and multi-agent frameworks, manage containerized services, follow release processes, and document systems. The role requires strong Python expertise, extensive cloud and Kubernetes experience, infrastructure-as-code knowledge, and familiarity with generative AI and LLMs.

Conduct due diligence, comparative analysis, and ad hoc reporting for content sources and partnerships. Build dashboards, analyze usage and coverage data, manage content requests in ProductBoard, and provide competitive intelligence for content strategy. Investigate stakeholder inquiries, identify process improvements through gap analysis, and collaborate with Product, Engineering, Finance, Legal, Operations, Revenue, and BI teams to support business cases and operational decisions.

Lead the architecture and implementation of Salesforce Data Cloud solutions, including data models, ingestion pipelines, identity resolution, activation workflows, and MarTech integrations. Collaborate with marketing, analytics, engineering, and business stakeholders to deliver personalized customer experiences. Ensure data quality, privacy compliance, performance, and troubleshooting across platforms. Mentor engineers, guide technical standards, support segmentation and journey orchestration, and contribute to roadmap planning.

Lead the architecture and implementation of Salesforce Data Cloud solutions, including data models, ingestion pipelines, identity resolution, activation workflows, and MarTech integrations. Collaborate with marketing, analytics, engineering, and business stakeholders to deliver unified customer profiles and personalized experiences. Guide development teams, troubleshoot complex integrations, ensure data quality and privacy compliance, mentor engineers, support segmentation and journey orchestration, and contribute to technical standards and the Data Cloud adoption roadmap.

Supports finance and risk regulatory change initiatives as a business analyst. Responsibilities include documenting requirements, analyzing complex regulatory data models and high-volume datasets, designing functional solutions, identifying risks and trade-offs, supporting stakeholder decisions, and providing subject matter expertise. The role also involves working with Basel III/IV, PRA/COREP reporting, HSBC credit-risk data, SQL, Excel, Python, and Google Cloud Platform in complex global programs.

Lead verification for complex CPU/SoC IP and subsystems: define verification strategies and test plans, build verification environments, run and debug simulations/emulations, apply random-stimulus and coverage-driven techniques, and mentor engineers while improving verification methodologies and tools.

Build and operate reliable, secure, and scalable CI/CD platforms, cloud infrastructure, and observability solutions. Automate deployments, manage Kubernetes and Jenkins pipelines, integrate build tools, and use monitoring/incident tools to support large-scale systems.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

Enable SRE teams to deliver end-to-end business observability with Dynatrace: integrate custom business metrics via Python, design business-centric dashboards, apply AI-based root cause analysis, monitor SAP BTP and Kubernetes, and coach SREs. Deliver optimized Dynatrace setups, production-ready scripts, dashboards, alerting rules, and documentation.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Build, deploy, and maintain enterprise-grade backend software while partnering with the CTO and founding team. Own technical decisions, production reliability, scalability, security, and lifecycle improvements. Troubleshoot complex issues, develop prototypes and technical content, adopt emerging technologies, and collaborate with engineering, design, sales, and other stakeholders. The role requires strong backend, cloud, infrastructure-as-code, distributed systems, API, database, and generative AI experience, with independent execution in an in-person startup environment.

Own and develop mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. Design scalable services using Python, REST, gRPC, Kubernetes, and Terraform; manage relational, NoSQL, graph, and vector data architectures; improve reliability, performance, and operational excellence; and provide hands-on technical leadership across backend, frontend, infrastructure, and AI systems.

Designs and deploys BPM workflows and RPA bots using platforms such as UiPath, Automation Anywhere, Blue Prism, and Nividous. Analyzes processes, configures approvals and SLAs, develops integrations and low-code applications, supports users, monitors automation performance, and prepares technical documentation. The role also manages testing, troubleshooting, reporting, data transformations, governance, training, and continuous process-improvement initiatives across enterprise systems.

Build, operate, and scale enterprise web applications using Python and React.js. Develop REST and GraphQL APIs, asynchronous processing, responsive interfaces, database queries, automated tests, and CI/CD workflows. Own features end to end, improve architecture and observability, modernize legacy systems, resolve outages, reduce technical debt, and mentor engineers. Collaborate with Product and Design in a remote, pod-based organization while leveraging AI coding agents.

Conduct research and policy analysis to accelerate grid-connected distributed renewable energy adoption in India. Responsibilities include monitoring regulations, developing market and policy interventions, analysing data, supporting solar policy implementation, managing projects, engaging government and industry stakeholders, developing partnerships, and producing reports, briefs, presentations, and publications. Frequent travel to priority states is required.

Design, build, and maintain reliable backend APIs, services, and systems. Collaborate with stakeholders and engineering teams to deliver scalable features, contribute to technical roadmaps, improve internal tooling and engineering standards, and create technical documentation. The role emphasizes highly available production services, data pipelines, customer-centric development, and fraud prevention or compliance domain expertise.

Develops software, configures and deploys systems, administers Linux and cloud infrastructure, manages containers and CI/CD pipelines, integrates applications and APIs, and troubleshoots issues across application, database, network, and infrastructure layers. The engineer owns technical solutions from investigation through deployment and verification, automates operational tasks, documents systems, and collaborates directly with technical and non-technical stakeholders.

Provide advanced technical support for enterprise database customers by diagnosing complex issues involving database internals, SQL performance, Linux systems, networking, and distributed applications. Reproduce bugs, perform QA, submit engineering reports, collaborate with development and infrastructure teams, improve support processes, and create documentation. The role includes scheduled IST hours and participation in an on-call rotation.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Build, operate, and automate Infovista’s hybrid infrastructure across on-premises data centers and public clouds. Develop Infrastructure as Code, manage Kubernetes and CI/CD platforms, implement observability and SRE practices, automate lifecycle management and remediation, and support security, compliance, FinOps, asset discovery, and self-service provisioning. Collaborate with product engineering, security, IT operations, network teams, and third-party partners while modernizing legacy environments and promoting reusable automation.

Designs and builds automated operational workflows for Akamai’s global backbone and network infrastructure. Responsibilities include reducing manual toil, improving observability and telemetry, developing maintainable software with CI/CD and test-driven practices, and deploying cloud-native third-party systems using Infrastructure as Code. The role requires programming, scalable full-stack development, Kubernetes, microservices, DevOps, database, monitoring, dashboarding, and alerting experience.