Top Python Developer Jobs in Delhi

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.

Design, implement, and maintain scalable, secure GCP infrastructure and Kubernetes deployments. Build and optimize CI/CD pipelines (Jenkins), automate IaC (Terraform/Deployment Manager), monitor systems (Prometheus, Grafana, Cloud Monitoring, ELK), troubleshoot production issues, apply SRE practices (SLIs/SLOs, incident management), and harden Linux-based environments.

Build and maintain scalable data ingestion and enrichment pipelines integrating diverse sources (CSV, Parquet, JSON, APIs). Ensure data quality and validation, transform/enrich datasets, integrate with core platforms, participate in code reviews, testing, deployment, and monitoring, and collaborate with cross-functional stakeholders to deliver reliable, performant data solutions.

Lead design and development of the H1 Knowledge Graph and Search platform. Own feature lifecycle, evolve search/graph systems, optimize performance and scalability, maintain data pipelines, ensure data quality and security, mentor engineers, and drive architecture and integration patterns.

Lead and grow a distributed Data Foundations team building data ingestion, quality, and cost-management for the data platform. Provide hands-on technical leadership and architecture (Kafka, Snowflake, Airflow), own monitoring/ops and on-call, drive data governance, collaborate with product and business stakeholders, and optimize cost and reliability.

Identify, remediate, and prevent application vulnerabilities across development, staging, and production environments. Use Snyk, Aqua Security, and cloud scanning tools to analyze risks, fix vulnerabilities in Python and other code, and coordinate secure CI/CD code promotion. Document root causes and remediation, collaborate with development teams, and improve security of containerized applications using Docker and OpenShift. Preferred experience includes AI-assisted coding tools, AI development agents, and container security.

Work on a SCRUM team to design, develop, test, maintain, and optimize automations and features. Troubleshoot application issues, propose product improvements, collaborate with engineers and designers, and experiment with emerging technologies.

Lead development of Python applications that process large-scale data, write and tune complex SQL, profile and optimize performance, deploy containerized apps, build unit tests, and work with data frameworks and Snowflake datasets.

Design, simulate, and validate optical wireless PHY algorithms (modulation, coding, synchronization) from theory to FPGA prototype. Build link-level simulations, implement fixed-point/RTL/HLS on FPGA, write C/C++ reference models, and engage with standards (IEEE 802.11bb, ITU-T FSO). Publish and prototype in R&D.

Design, build, and deploy production-grade AI/LLM systems and agentic workflows. Implement prompt and context engineering, RAG, vector search, and LangGraph-based agents. Develop backend APIs, data pipelines, and monitoring for performance, scalability, and cost optimization while collaborating with product, data science, and engineering teams.