Top Python Developer Jobs in Delhi

Develop high-performance C/C++ SDK software on Linux for Nokia’s coherent DSP ASICs and optical networking products. Responsibilities include feature development, API and framework creation, hardware-software integration, pre- and post-silicon validation, debugging, testing, automation, performance optimization, and collaboration with ASIC, firmware, hardware, and architecture teams.

Build and maintain test automation frameworks for cloud microservices and deployments. Ensure highly available, scalable, secure, performant distributed systems through functional and non-functional testing. Develop organized, efficient code in Python or Go, improve internal processes, and test containers, Kubernetes, infrastructure-as-code, and related cloud technologies in an agile environment.

Designs, maintains, and executes automated UI, functional, and regression tests for the MyWorldPanel platform. Supports manual and exploratory testing, defect management, Azure DevOps pipeline integration, and test coverage for critical workflows. Collaborates with developers, analysts, and QA teams in Agile sprints to improve testing processes and support reliable releases. The role also requires basic AI literacy and effective use and validation of AI-generated outputs.

Investigate escalated security incidents across endpoint, network, cloud, and identity environments. Analyze ransomware, malware, obfuscated scripts, authentication activity, logs, and attacker behavior; conduct threat hunts; correlate EDR and SIEM data; document findings; recommend remediation; tune detections and response playbooks; and support a 24/7 MDR rotation.

Leads the design, development, troubleshooting, and delivery of high-performance software for fiber-based OLT platforms. Works with GPON/XGPON, Layer 2 forwarding, multicast, QoS, VLANs, network processors, and packet processing. Collaborates with product management, translates customer needs into features, drives technical execution across the SDLC, and mentors engineering teams. Contributes to software testing automation and agile development practices.

Monitor and support a multi-cloud infrastructure across Azure and AWS, including Windows, Linux, and SQL Server systems. Responsibilities include incident response, alert triage, patching, compliance tracking, network troubleshooting, reliability reporting, runbook improvement, and automation. The role participates in a follow-the-sun on-call rotation and supports VPNs, DNS, subnets, routing, monitoring tools, and infrastructure maintenance.

Leads cloud platform architecture, reliability, modernization, automation, cost optimization, and operational excellence across Azure-based SaaS infrastructure with some AWS. Manages and develops cloud and database engineers, establishes observability and incident-response practices, improves CI/CD, supports highly available systems, and partners with engineering, product, and security teams. The role remains hands-on with Infrastructure-as-Code while overseeing hiring, performance management, capacity planning, and technical strategy.

Owns and modernizes Litmos’s Microsoft Azure environment, including infrastructure, networking, governance, security, cost optimization, and cloud-native migrations. Administers SQL Server and supports PostgreSQL, Synapse, and Azure AI Foundry platforms. Builds Infrastructure as Code with Bicep, automates operations using PowerShell and Python, improves CI/CD, strengthens observability and disaster recovery, and supports GDPR compliance across a distributed US/Australia team.

Own end-to-end security incident response during non-US hours, including alert triage, investigation, containment, remediation, root cause analysis, documentation, and escalation. Maintain SOC playbooks and runbooks, produce incident reports and metrics, improve tooling and automation, and coordinate handoffs with US-based security staff. Investigate events across SIEM, EDR, email, network, identity, and cloud platforms while serving as the primary security operations contact for India-based stakeholders.

Leads a remote engineering team building scalable Python and Golang microservices for Canonical’s software distribution marketplaces. Responsibilities include mentoring and developing engineers, managing delivery and expectations, shaping technical strategy and roadmaps, reviewing code, guiding architecture, maintaining engineering quality, and collaborating with product managers, architects, other teams, open-source contributors, and commercial partners.

Develop kernel- and user-mode device drivers for Ethernovia networking hardware, integrating with Linux and AUTOSAR communication stacks. Own driver architecture, implementation, testing, debugging, and SDK integration for safety-critical automotive systems. Develop stack extensions, utilities, and automated unit and system tests while applying functional safety and engineering standards. The role requires strong C/C++ skills, operating-system and kernel knowledge, hardware integration experience, and familiarity with communication devices and embedded platforms.

Deliver, operate, and improve Microsoft Azure platform services through cloud engineering, automation, Infrastructure as Code, and operational support. Responsibilities include Azure administration, monitoring, security, incident resolution, networking, platform reliability, PowerShell and Python automation, CI/CD support, project delivery, service transition, and continuous improvement. The role collaborates with architects, stakeholders, vendors, and technical teams to provide secure, resilient, standardized, and cost-effective cloud services.

Design and implement a unified orchestration layer coordinating vendor and internal LLMs and human agents. Build production-grade Python services, drive ML projects from design to delivery, ensure secure, scalable AI-enabled customer experiences, and collaborate across teams to meet security, compliance, and performance standards.

Leads technical delivery for IBM i and Power Systems managed services and projects. Responsibilities include security, performance optimization, patch and PTF management, upgrades, migrations, automation, high availability, disaster recovery, infrastructure architecture, and client advisory work. The role also supports modernization, managed services, pre-sales solutioning, vendor coordination, and client-facing execution planning.

Own, audit, validate, optimize, and modernize statistical models written in R. Build and deploy new predictive models and analytical features, improve production code quality, collaborate with data engineering, communicate technical findings to stakeholders, and mentor junior data scientists. The role requires advanced statistical modeling expertise, strong R proficiency, and experience improving complex algorithms.

Build scalable data pipelines and ETL/ELT processes using Python and modern data platforms. Perform exploratory analysis, validate data, develop data models, and support analytics and real-time insights. Collaborate with data scientists, analysts, engineers, and product teams while delivering tested, reliable features. The role also contributes to data quality policies, processes, scorecards, and product operations reporting.

Build scalable data pipelines and ETL/ELT processes using modern data platforms. Perform exploratory analysis, validate data, develop models supporting analytics and real-time insights, and collaborate with data science, product, engineering, and customer success teams. Write tested Python code, contribute to data quality initiatives, and deliver end-to-end features in an agile environment.

Develop, train, deploy, and maintain machine learning and generative AI solutions, including predictive models, NLP applications, chatbots, LLMs, and agentic AI systems. Design scalable ETL pipelines, optimize databases, process large datasets with Spark and Snowflake, and create business visualizations. The role requires expertise across Python, SQL, cloud AI platforms, machine learning frameworks, databases, and data engineering.

Analyzes customer feedback, product usage, operational signals, UX research, and validation data to generate actionable customer intelligence. Builds taxonomies, classifications, documentation, and repeatable analysis practices; identifies trends, experience gaps, adoption issues, and meaningful signals. Uses SQL, Python, and multiple data sources to support evidence-based product decisions and collaborates with Product, UX, Engineering, Customer Success, and validation teams.

Leads systems engineering for middleware and distributed platforms, including OpenShift and Kubernetes deployments, CI/CD automation, cloud infrastructure, application onboarding, SSL certificate lifecycle management, security patching, performance monitoring, troubleshooting, and platform integration. Collaborates across teams to resolve technical issues, improve system reliability, and ensure applications meet performance and security standards.

Build AI-powered products and backend services using Python and FastAPI. Develop RAG applications, integrate major LLM platforms, use vector databases and AI development tools, and create REST APIs. Collaborate with product and engineering teams to deliver features, while contributing to testing, debugging, deployment, and continuous improvement. The role may also involve AI agents, tool calling, MCP, cloud deployment, and Oracle Fusion integrations.

Build and operate production-grade data infrastructure, including lakehouse architecture, ETL/ELT pipelines, data warehouses, data marts, migrations, and governed data products. The role uses Microsoft Fabric, Azure, Databricks, Spark, Python, and SQL to support reporting, traceability, compliance, impact measurement, and AI/ML use cases. Responsibilities also include data quality, metadata, lineage, security, access controls, CI/CD, and platform optimization across complex international systems.

Leads technical customer success for Splunk security and core platform products. Provides architecture, implementation, configuration, optimization, onboarding, enablement, health remediation, security use-case activation, and strategic consulting. Advises customers and account teams on Splunk Enterprise Security, UBA/UEBA, SOAR, data onboarding, risk analytics, and platform adoption while resolving complex technical challenges and improving customer value realization.

The Full Stack Developer will design, develop, and deploy web applications using React.js and Node.js, focusing on scalable solutions and collaborating with cross-functional teams.

Build and operate reliable AWS-based SaaS platforms through observability, infrastructure automation, CI/CD, container and serverless operations, incident response, security controls, and self-healing systems. The role owns services end to end, improves SLOs and incident metrics, maintains Terraform and GitHub Actions automation, participates in 24/7 on-call, and mentors engineers while applying governed AI-assisted engineering practices.