Top Python Developer Jobs in Delhi

Designs and scales enterprise AI solutions using Microsoft Copilot, Azure AI Foundry, and Anthropic Claude tools. Builds agentic workflows, intelligent agents, enterprise integrations, document-processing solutions, and automated decision workflows. Develops reusable AI frameworks, supports CI/CD testing and deployment, aligns solutions with Azure architecture, and collaborates with global teams to improve productivity and automate firm workflows.

Build and refine AI-powered prototypes for supply chain and manufacturing operations. Engage with factory and warehouse teams, translate operational needs into software requirements, develop Python-based RAG and agentic systems, integrate APIs and data sources, and iterate prototypes based on frontline feedback. The role involves SQL and document data preparation, agile collaboration, occasional manufacturing-site travel, and progressive adoption of enterprise AI frameworks and production engineering practices.

Design and maintain end-to-end test strategy, architectures and automated frameworks for telecom packet-core products. Plan and execute performance, scalability and functional tests, manage test environments, integrate tests into CI/CD, mentor offshore test teams, gather customer requirements, and present results to customers.

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.

Manage network operations issues from identification through closure, produce accurate daily status and SLA reports, validate and reconcile data, analyze root causes, coordinate technical resolution, and automate repetitive reporting and operational tasks using Excel, dashboards, Python, or scripting. The role requires strong network architecture knowledge, hands-on experience with routers, switches, and firewalls, clear stakeholder communication, documentation, and willingness to work shifts from the Bangalore or Hyderabad office.

Design, build, and scale production AI agents across EveryWatch. Own the agent roadmap, architecture, shared tools, memory, state, observability, evaluation, and cost controls. Harden WatchChat, develop RAG and tool-calling systems, establish measurable quality standards, and ship solutions directly in Python. Collaborate with sales, product, data, and engineering teams to identify high-impact use cases and take agent concepts from discovery through production.

Design, develop, and maintain automated and manual test strategies for web and POS applications. Create test plans, write automation scripts, execute functional, integration and regression tests, track defects, define QA metrics, support release validation, and mentor team members while collaborating with cross-functional stakeholders.

Monitor and investigate security events across cloud, applications, infrastructure, and endpoints. Manage SIEM, SOAR, EDR, CSPM, and vulnerability-management activities; improve detections, alerts, playbooks, and automation; coordinate incident response; gather evidence for audits; and collaborate with technical, legal, privacy, and compliance teams. The role requires rotating 24/7 shifts, incident coordination, documentation, stakeholder communication, and continuous security-process improvement.

Own and evolve a large-scale shared data platform supporting billion-row workloads. Design open-lakehouse foundations, batch and streaming ingestion, CDC, platform APIs, orchestration, metadata, governance, observability, and data-quality capabilities. Drive production reliability, incident response, performance, cost optimization, capacity planning, and recovery improvements. The role requires hands-on distributed-systems engineering, architecture leadership, coding, deployment, and operational ownership at SDE-3 or Staff level.

Owns data quality and reliability for data engineering projects by defining testing strategies, building scalable automation frameworks, validating pipelines and analytical platforms, and managing release readiness. The role covers backend and pipeline testing, data integrity, ETL/ELT validation, AI-augmented test development, governance, code reviews, and reducing manual testing. It requires close collaboration with data engineering, product, and data science teams.

Hybrid QA Engineer responsible for manual and automated testing of web, Android, and iOS casino games. Duties include designing and maintaining automated tests, API and performance testing, defect tracking, test strategy development, quality process improvement, code and design reviews, CI/CD integration, release quality gates, documentation, and mentoring QA team members. Requires strong Python automation experience, web and mobile testing expertise, database knowledge, Docker, Agile experience, and UK timezone overlap.

Build and manage observability platforms, cloud infrastructure, Kubernetes and ArgoCD environments, and reliability tooling across AWS and on-premises systems. Own patching compliance, vulnerability remediation, incident support, cloud migration, and service performance. Develop AI-assisted automation, consult development teams on monitoring standards, and mentor engineers while improving operational practices and reducing toil.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Lead end-to-end development of high-performance AI-driven web applications using React, Python FastAPI, and Rust. Build responsive interfaces, scalable hybrid backend services, semantic search, summarization, and agentic workflows. Integrate NLP and generative AI models, optimize processing with Rust, and work with PostgreSQL and Redis. Drive architecture, promote type safety, create streaming AI user experiences, and mentor junior engineers.

Lead technical DevOps, infrastructure-as-code, cloud automation, SRE, security, and operations initiatives for critical GCP services. Responsibilities include managing ServiceNow incidents, developing Python, Java, and React applications, building CI/CD and observability platforms, troubleshooting integrations, optimizing cloud costs, remediating vulnerabilities, conducting incident reviews and root cause analysis, and mentoring engineers.

Lead system architecture for secure, cloud-native Product Security applications. Translate stakeholder needs into requirements, AI-assisted designs, user stories, diagrams, and PoC code scaffolds. Ensure scalable, secure architectures on Azure using Python/Django/PostgreSQL and modern frontends. Provide technical leadership, governance, and mentoring to engineering teams while integrating AI into design and development workflows.

Owns end-to-end cloud and infrastructure services across Azure, AWS, GCP, OCI, VMware, operating systems, storage, backup, and databases. Provides expert L4 administration, troubleshooting, performance tuning, automation, security enforcement, disaster recovery, capacity planning, and root cause analysis. Establishes database reliability and observability practices, collaborates with architecture, security, DevOps, and application teams, mentors junior staff, and maintains technical documentation.

Own the finance inventory platform roadmap and product lifecycle, including requirements, integrations, UAT, releases, troubleshooting, and data migrations. Build Python, SQL, VBA, dashboard, and low-code tools independently while automating finance workflows with AI, LLMs, copilots, and RPA. Lead ERP integrations, reconciliations, documentation, and scalable finance transformation initiatives while managing stakeholders across operations and senior leadership.

Develop and support enterprise Power BI dashboards, reports, semantic models, and data transformations. Build advanced DAX and Power Query solutions, integrate Python for processing and analytics, optimize performance, implement security and governance, and manage Power BI Service deployment and refresh processes. Collaborate remotely with business and technical stakeholders during EST hours, document solutions, participate in peer reviews, and improve development standards.

Designs and maintains automated testing frameworks for cloud-native observability platforms. Owns end-to-end quality validation, CI/CD test automation, defect management, release readiness, and testing of distributed, data-intensive, event-driven systems. Collaborates with development, product, and DevOps teams in Agile environments while applying AI-assisted testing and continuous quality improvements.

Design and enhance automation frameworks for cloud-native observability platforms. Own end-to-end testing, including strategy, test design, execution, reporting, defect tracking, and release readiness. Implement CI/CD-driven automation and validate APIs, integrations, distributed systems, data pipelines, and event-driven architectures. Collaborate with engineering, product, DevOps, and operations teams to improve quality, reliability, scalability, and Agile delivery while applying AI-assisted testing tools.

Leads end-to-end quality assurance and automation for cloud-native, microservices-based telecommunications systems. Responsibilities include designing test strategies, architecting scalable automation frameworks, translating requirements into test plans, validating subsystem integration and system performance, identifying quality risks, troubleshooting defects, and mentoring engineering teams. The role also advances AI-assisted and agentic testing capabilities while collaborating with customers, product managers, architects, and developers.

Lead the architecture, design, development, deployment, and maintenance of scalable backend systems, distributed services, and mission-critical REST and GraphQL APIs. Provide hands-on technical guidance, mentor engineers, establish coding standards, oversee code quality, and drive end-to-end delivery. Design asynchronous pipelines, microservices, database solutions, cloud deployments, CI/CD processes, observability, and secure cloud-native architectures on AWS.

Independently leads statistical programming for pharmaceutical clinical development studies. Develops and validates SAS and R programs, SDTM and ADaM datasets, specifications, tables, listings, graphs, and regulatory submission deliverables. Oversees CRO programming work, supports clinical study reports and FDA submissions, maintains programming standards, contributes to CRFs and validation plans, and collaborates with clinical, regulatory, vendor, and development teams.

Recruit and coordinate candidates across creative and business roles, manage job postings, screen applications, maintain ATS pipelines, automate recruiting workflows with AI tools and APIs, conduct outreach, schedule interviews, support offers and onboarding, build talent pools, and report hiring metrics.