Top Python Developer Jobs in Delhi

Design, build, and maintain scalable ETL/data pipelines and data management blueprints. Ingest, transform, and curate large complex datasets for analytics, support cloud (AWS) implementations, enable downstream consumers, and provide technical leadership and operational support to ensure data governance, quality, and automation.

Design, operate, and automate AWS-based production and development infrastructure for eCommerce/enterprise platforms. Implement CI/CD, infrastructure-as-code, observability, security, disaster recovery, and large-scale automation. Support microservices, databases, caching, virtualization, and application servers while troubleshooting, performance tuning, and onboarding new tools.

Design, execute, and automate functional, regression, integration and non-functional tests. Expand and maintain Python-based automation frameworks, manage test plans and data, track defects, engage stakeholders, participate in Agile, mentor juniors, and ensure quality delivery for banking/capital markets applications.

Lead QA analyst responsible for end-to-end test strategy, automation framework creation and maintenance (Python), test design/execution, defect management, CI/CD integration, mentoring teammates, stakeholder collaboration, and ensuring quality of functional, regression, performance, integration and acceptance testing across banking/capital markets products.

Full‑stack developer to design and build scalable client‑ and server‑side systems and microservices in Go. Responsibilities include API design, database management, testing, security, documentation, deployment (Kubernetes/Docker, AWS/Azure), and collaboration with data scientists.

Work as an SDET/Sr SDET performing functional and automation testing (UI, API, data) for card issuing and payment processing features. Create test scenarios/cases, execute integration/system/end-to-end tests, automate scripts (Playwright, RestAssured), validate ISO 8583 messaging, use simulators and API tools, and ensure code/test coverage in Agile teams.

Design, develop, and maintain backend systems for the Tax Information Reporting Suite and Core Services. Own backend architecture, data processing workflows, and integrations. Write and optimize SQL/stored procedures, develop unit tests, debug production issues, participate in sprint/release planning, and collaborate with product, QA, and DevOps. Mentor teammates and promote coding, performance, security, and automation best practices.

Design, implement, and optimize CI/CD build, test, and deployment pipelines for C++/Python products across Windows and RHEL. Migrate on-prem CI to cloud, standardize tooling, improve developer experience, and extend continuous delivery to customer environments while collaborating with DevOps and development teams.

Design, build, and harden backend APIs and microservices using Python and FastAPI. Develop event-driven services with Azure (Functions, Event Grid, Service Bus, Blob Storage, Cosmos DB, Key Vault). Implement secure API and service-to-service access (Microsoft Entra ID, OAuth2/JWT, managed identities, RBAC). Containerize, deploy, and operate services with Docker and CI/CD. Ensure observability, performance tuning, and cross-team collaboration for high-volume document-processing workflows.

Support, maintain, and enhance enterprise middleware and F5 infrastructure. Configure and develop F5 BIG-IP components, iRules/iApps, and WAF policies. Provide L2/L3 production support, RCA, and high-availability planning. Manage messaging platforms (IBM MQ, Kafka), develop integrations (Java/Spring Boot), automate using Python/Shell/Ansible and IaC, and improve monitoring, performance, and security across middleware systems.

Develop and maintain serverless integrations: implement AWS Lambda functions (Node.js/Python) to orchestrate calls between API Gateway and Salesforce, configure API Gateway routes and mappings, implement validation, error handling, request transformations, and the Lambda-to-Salesforce REST/Apex callouts.

Senior Linux Systems Administrator managing and securing enterprise RHEL environments. Enables DevOps automation and CI/CD, handles identity integration, storage and network troubleshooting, container and artifact platform support, scripting-driven automation, monitoring, and hybrid on-prem/cloud infrastructure. Provides technical leadership, security baselines, and collaborates across engineering, security, and operations to deliver scalable, compliant infrastructure.

Design, develop, and maintain IVR systems using VoiceXML and major IVR platforms. Build conversational AI solutions (NLU/NLP, intent identification, LLMs), integrate telephony (SIP/TDM), cloud AI services, databases (SQL/NoSQL), CRM and RPA systems, and external services via RESTful APIs using Java/Python/NodeJS/C++.

Design and develop scalable data-driven solutions and pipelines using Python and SQL. Leverage Azure data services to build secure, high-performance architectures, ensuring data integrity, governance, and overall success of data projects.

Lead and own platform reference architecture for supply chain finance modules. Define HLD/LLD, enforce architecture guardrails, design high-throughput Spark+Kafka pipelines (>20M invoices/day), drive Azure AKS and IaC strategy, establish CI/CD and security-by-design, translate complex financial rules into technical designs, and mentor engineering leads across squads.

Design, maintain, and automate CI/CD pipelines; manage development and test environments (RHEL servers, VMs, containers); build and publish Docker images to artifact registries; coordinate patching and compliance using BigFix and ServiceNow; monitor and troubleshoot build agents and infrastructure; integrate security scanning (SAST/SCA) into pipelines; collaborate across development, QA, security, and infrastructure teams to ensure reliable releases and environment stability.

Design, implement, and support enterprise LAN/WAN/VPN and security solutions. Manage Palo Alto firewalls, Cisco ACI, Aruba networking, Citrix NetScaler, SD-WAN, VoIP/SIP systems and Infoblox DNS/DHCP. Automate tasks using GitHub, Python/Ansible and use ITSM tools (ServiceNow). Provide L3 escalation, troubleshooting, and infrastructure optimization; maintain certifications and documentation.

Design and build scalable data pipelines and architectures on Azure using ADF, Databricks, and Synapse. Implement Kimball/Data Vault modeling, write ETL in Python and T-SQL, ensure data governance (Azure Purview), automate tests, troubleshoot issues, document processes, and collaborate across teams.

Provide DevOps/SRE/platforms support including ticket queue management, monitoring, and on-call rota for London/Bermuda. Build and maintain IaC and automation (Terraform, ARM), create YAML CI/CD pipelines in Azure DevOps, support Azure IaaS/PaaS/SaaS, manage server OS (Windows/Unix), and develop scripts (PowerShell, Bash, Python, CLI/REST).

Design and lead cloud-native AI architectures on GCP, build end-to-end ML and Generative AI solutions (LLMs, embeddings, RAG), drive Python service development, CI/CD and MLOps, ensure security and governance, support presales, and mentor implementation teams.

Lead design and implement CI/CD and cloud-based build/test infrastructure. Standardize pipelines and tooling, optimize cloud usage, extend continuous delivery, and collaborate with DevOps and development teams to automate builds, tests, and deployments using infrastructure-as-code.

Design, build, and maintain automated tests and hybrid testing frameworks for controls software in automated material-movement systems. Collaborate with product owners, architects, and deployment engineers to define acceptance criteria, create functional and end-to-end test scenarios, integrate tests into CI/CD pipelines, and provide automated reporting and performance testing. Practice SAFe Agile and coach best practices across teams.

Design and develop data-driven solutions and scalable data pipelines using Python and SQL. Leverage Azure data products to build robust, secure architectures, ensuring data integrity, performance, and governance while supporting data-centric client projects.

Support, develop, and optimize enterprise messaging platforms using IBM MQ and Apache Kafka. Responsibilities include administration, integration, building producers/consumers, L2/L3 production support, performance tuning, capacity planning, automation with scripting and IaC, CI/CD integration, security configuration, and collaborating with application, DevOps, and infrastructure teams for onboarding and deployments.

Design, operate, and automate highly available, scalable systems using SRE best practices. Implement SLI/SLO/error budgets, monitoring/observability, performance testing, CI/CD and IaC. Lead incident response, on-call rotations, and post-mortems. Collaborate across Dev, QA, DevOps, Security, and Product to ensure reliability, compliance, and performance for large-scale financial platforms.