Top Python Developer Jobs in Delhi

Troubleshoot, configure, deploy, and support Juniper-based network infrastructure. The role manages routing, switching, firewalls, network security, connectivity issues, and performance problems; implements BGP and other protocols; develops automation scripts; supports customers and internal teams; and participates in network design and implementation projects.

Lead development of LLM-powered applications and agentic workflows: implement RAG pipelines, vector DB integrations, prompt orchestration, AI agents, and REST microservices. Optimize inference, deployment (containers/CI-CD/cloud), and evaluate model accuracy/hallucination. Debug performance issues and document designs.

Designs and maintains automated testing frameworks for API-based security and threat protection products. Develops test strategies, executes tests, improves coverage, evaluates testing tools, and collaborates with engineering teams on code, design, test plans, and automation frameworks in an Agile environment. Supports releases, testing process improvements, customer installations, and product demonstrations.

Leads data engineering initiatives involving ETL/ELT pipelines, database optimization, orchestration, big data technologies, data modeling, BI performance, and data quality monitoring. Requires strong Scala, Python, SQL, and shell scripting skills, plus payments-domain expertise covering transaction processing, settlements, disputes, reconciliation, gateways, acquiring, issuing, and PCI-DSS compliance. The role also involves cross-functional communication, planning, facilitation, negotiation, and collaboration with senior stakeholders and clients.

Build scalable, backend-heavy APIs, microservices, and applications using Python frameworks such as Django, FastAPI, or Flask. Own the Angular and TypeScript UI layer, work with relational databases, implement automated testing and CI/CD, and address system design, security, and performance. Preferred work includes asynchronous Python, Celery, message queues, event-driven architectures, Redis, Elasticsearch, NoSQL, and mentoring engineers or leading technical initiatives.

Owns quality assurance for carrier-grade optical networking products. Responsibilities include creating test plans, validating system features and customer deployment scenarios, developing test scripts, maintaining automated test frameworks, executing manual and automated tests, analyzing failures and defects, and reporting quality assessments. The role requires testing SONET, SDH, OTN, DWDM, ROADM, optical amplifiers, FCAPS, provisioning, configuration, and protection schemes using optical test equipment and scripting languages.

Develop and deploy applications using Java Spring Boot and Python, databases and SQL, AWS cloud services, CI/CD pipelines, and automated testing. Collaborate within a small agile team, learn new technologies, and contribute strong analytical, communication, and organizational skills.

Lead DNS Network Engineer responsible for DNS engineering projects, IPAM management, DNS and DHCP troubleshooting, domain stability, incident and change management, automation, and issue ownership. The role requires expertise with Infoblox, BlueCat, Nokia QIP, F5 devices, BIND, Unix/Linux, Python, Ansible, routing, switching, and firewall concepts. The engineer will coordinate with internal teams, external vendors, audit teams, and global customers while escalating crisis situations and providing management updates.

Lead architecture and delivery of Control Center platform capabilities, evolving it into an AI-agent-ready operations platform. Design MCP registries, AI orchestration, access automation, guardrails, and HITL workflows. Mentor engineers, drive cross-team roadmaps, own backend services reliability, SLOs, observability, incident response, and collaborate with Security and Product to deliver secure, compliant internal tooling.

Design, develop, and maintain Python backend services, RESTful APIs, and scalable microservices. Deploy and manage Azure cloud solutions, CI/CD pipelines, automated testing, Docker, and Kubernetes environments. Collaborate in Agile/Scrum teams through code reviews, planning, and architecture discussions. Apply database, data modeling, cloud architecture, scalability, security, and performance optimization knowledge, with potential work involving Databricks, Golang, React, infrastructure as code, and event-driven systems.

Designs and evolves an Azure-based observability and data quality platform. Builds reliable, automated infrastructure using IaC, CI/CD, Python, and Shell scripting; integrates AKS, Kafka, Databricks, Flink, Fivetran, and Azure SQL Server; develops monitoring and dashboards with Grafana, Prometheus, Power BI, or Databricks; applies SRE and FinOps practices to improve reliability, performance, data quality, incident response, compliance, and cloud cost efficiency.

Design, develop, and deploy AI-powered automation for hardware performance verification. Build intelligent tools and agents for test generation, regression detection, failure analysis, and corrective recommendations. Integrate LLM assistants, create verification data pipelines, establish impact dashboards, and collaborate with verification engineers. Apply generative AI, reinforcement learning, and formal methods to improve coverage, reduce cycle times, and increase productivity across complex GPU, CPU, memory, and HPC verification workflows.

The Senior Data Engineer is responsible for developing Python applications, optimizing data pipelines, integrating APIs, and collaborating with teams to deliver data solutions.

Support economic consulting engagements by cleaning, validating, and preparing large datasets; write SAS, Python, and SQL programs to automate workflows; perform statistical and econometric analyses; produce tables, charts, and reports; document methodologies; collaborate with international teams and senior staff to ensure high-quality analytical outputs.

Use data and advanced analytics to solve complex business problems, design and deploy scalable ML/data products on cloud platforms, collaborate with clients and cross-functional teams, and communicate actionable insights.

Design, operate, and optimize a large-scale distributed architecture and microservices. Troubleshoot production issues and improve API gateways, ensuring system reliability and performance. Engage in CI/CD improvements and contribute to service decoupling.

Build, manage, and optimize on-premises VMware and AWS test infrastructure. Provision reproducible environments with Terraform, automate setup and teardown, optimize resource usage and costs, execute functional and integration tests, and integrate workflows with Jenkins CI/CD pipelines. Troubleshoot test failures, support release hardening, and collaborate with QA and engineering teams to improve reliability, scalability, and test coverage.

Define test strategies with hardware engineers and develop automated functional and system test solutions for Fixed Networks. Support global manufacturing sites and suppliers in implementing, maintaining, and optimizing test systems. Analyze test data to drive product and process improvements and collaborate to automate product configuration in factories and warehouses.

Provide advanced post-sales technical support for Nokia's Network Services Platform (NSP). Troubleshoot complex EMS/NMS issues across software, networks, Linux, and virtualized environments; debug installations, coordinate with R&D and customers, ensure SLA compliance, lead RCAs, mentor junior staff, and create knowledge articles.

Own the architecture, scalability, governance, and technical direction of Amtech’s cloud data platform, including warehouses, tenant data stores, feature stores, and event pipelines. Lead multi-tenant data architecture, hybrid AI data routing, data security, observability, and reliability standards. Build data foundations for analytics, machine learning, and AI agents, including vector databases and RAG pipelines. Provide technical leadership through design reviews, mentoring, roadmap planning, and cross-functional architecture collaboration.

Administer and oversee IBM z/OS and associated subsystems, including CICS, Db2, RACF, storage, security, monitoring, and performance management. Lead software installations, upgrades, SMP/E maintenance, incident resolution, automation, compliance, and operational standards across global deployments. Coordinate managed service providers and partner with engineering, security, and application teams on modernization, CI/CD, APIs, z/OS Connect, and hybrid-cloud initiatives. Participate in 24x7 on-call support and AIOps-driven monitoring improvements.

The Senior Staff Software Engineer will lead the architecture of the agentic platform, define shared service designs, partner with teams for reusable capabilities, provide technical leadership, and implement cost-management and evaluation pipelines.

As a Staff Software Engineer, you will develop backend services for the agentic platform, integrating AI capabilities and ensuring system reliability, security, and developer usability.

Assist Kroll's valuation practice by analyzing illiquid and structured alternative assets. Review investment documents, gather client data, build DCF/market/option pricing models, compute financial ratios, prepare reports and presentations, support client relationships, and attend industry events. Gain exposure to bespoke investment structures and industry professionals.

Build trusted client relationships and demonstrate Databricks solutions through hands-on evaluations, Spark programming, proofs of concept, workshops, and technical presentations. Advise customers on big data analytics, solution architecture, data engineering, cloud integrations, and business value. Author reference architectures, how-to guides, and demo applications while developing toward independent Solutions Architect responsibilities.