Top Python Developer Jobs in Delhi

Design and develop scalable 5G network architectures, integrate IoT, AI, edge computing, NFV, SDN, network slicing, massive MIMO, and beamforming, and ensure security and standards compliance. Research emerging technologies, optimize network performance, create technical documentation, provide troubleshooting support, conduct code reviews, mentor junior engineers, and deliver training. The role requires advanced expertise in 5G and legacy cellular technologies, network security, programming, virtualization, cloud platforms, and related networking tools.

Develop scalable Python backend applications and RESTful APIs using FastAPI, Django, or Flask. Design AWS serverless, event-driven, cloud-native systems using services such as Lambda, API Gateway, Step Functions, EventBridge, Cognito, S3, RDS, and DynamoDB. Integrate AI APIs and AI-powered features, optimize service performance and reliability, and collaborate independently with cross-functional teams in a remote environment.

Build and deploy internal AI agents, workflow automations, RAG systems, tool integrations, and copilot experiences across support, sales, recruiting, customer success, and engineering. Responsibilities include designing multi-step agent workflows, integrating Slack, Jira, CRM, email, and other systems, implementing access controls, adding observability and guardrails, and documenting runbooks. The role requires rapid delivery of production-ready MVPs and reusable connectors.

Own and improve high-scale backend systems and TB-scale data pipelines. Ensure microservice availability, performance, resilience, and reliability. Build deployment, monitoring, and incident-response automation while contributing scalable backend features. Take end-to-end ownership of production systems, debug complex issues, and collaborate with founders and global teams in a high-ambiguity startup environment.

Design, build, and optimize enterprise-scale Databricks Lakehouse platforms. Lead end-to-end Databricks implementations, ETL/ELT pipelines, data modeling, performance tuning, CI/CD, and cloud integrations (AWS/Azure/GCP). Serve as solution architect and client-facing lead, ensuring production-grade data platform reliability and governance (Delta Lake, Unity Catalog, MLflow).

Design, develop, test, and support enterprise APIs, microservices, event-driven integrations, and cloud-native integration solutions. Build application, data, process, event, and API integrations using Apigee, Kafka, SAP BTP, AWS, and GCP. Implement API security, modernize legacy integrations, participate in Agile and DevOps activities, and provide deployment and production support while collaborating with architecture, SAP, cloud, and DevOps teams.

Develop and support data engineering workflows using Python and DataFrames. Build reliable ETL pipelines, design relational or dimensional data models, and migrate data across storage systems, formats, and environments.

Lead the AI-native product portfolio from business case through retirement: define strategy and experiments, write PRDs, prioritize and ready work for engineering, measure adoption and financial impact, and manage Product Owners and cross-functional dependencies to deliver validated AI automation and revenue-differentiating products.

Lead a DGS India product team to define, ship, and drive adoption of AI-native automation products. Own portfolio strategy, business cases, experiment design, PRDs, backlog prioritization, delivery readiness, and product health metrics. Partner with engineering on technical tradeoffs, ensure governance/compliance, coordinate cross-functional dependencies, and develop direct-report Product Owners. Accountable for measurable financial impact, adoption, and lifecycle management from discovery through retirement.

Leads global enterprise network security architecture and engineering initiatives, including SASE, ZTNA, firewalls, proxies, DDI, wireless security, and load balancing. Defines security and automation roadmaps, addresses vulnerabilities and zero-day threats, and partners with operations, engineering teams, and vendors. Establishes monitoring, reliability, standards, and incident response practices supporting 99.999% availability while mentoring globally distributed engineering teams.

Lead reliability and performance investigations across Akamai's global edge and media/web delivery platforms. Troubleshoot distributed systems across application, network, platform, and OS layers; design observability (SLIs/SLOs, telemetry, dashboards, alerts); analyze performance and bottlenecks; develop automation, internal tools, and AI-assisted diagnostics; partner with engineering and operations on scalable fixes; and provide escalation and off-hours support during critical incidents.

Develop and maintain data pipelines, APIs, and analytical systems. Mentor junior engineers and collaborate with teams to drive software development best practices.

AlphaSense seeks team players with emotional intelligence and excellent communication skills. Emphasis on collaboration and personal growth in a technology-driven environment.

As a Solutions Architect, you'll leverage data engineering and AI to guide customers in integrating with Databricks, solve business challenges, and provide technical leadership through consulting and collaboration with sales and product teams.

Develop and optimize machine learning models for production, collaborate with research and engineering teams to integrate AI solutions, research emerging AI methods, participate in code reviews, and contribute to technical documentation. The six-month remote or hybrid internship includes expert mentorship, flexible hours, a completion certificate, and a tool allowance.

Designs, builds, and maintains scalable Python backend services, secure RESTful and GraphQL APIs, and AWS serverless microservices. Responsibilities include data modeling, database optimization, authentication and authorization, testing, code reviews, CI/CD, production monitoring, troubleshooting, and release processes. The role collaborates with frontend, DevOps, data science, AI, design, and product teams to deliver production-grade analytics and AI applications.

Owns the design, deployment, reliability, security, and continuous improvement of a scalable AWS cloud platform supporting analytics, AI, and enterprise applications. Responsibilities include infrastructure automation with Terraform and CloudFormation, CI/CD pipelines, Docker and serverless workloads, observability, incident troubleshooting, security hardening, compliance controls, and collaboration with development, AI engineering, and business teams.

Design, develop, deploy, and maintain AI and machine learning solutions. Responsibilities include building models, using LLMs to create and optimize challenge datasets, training and evaluating models, integrating AI into production systems and APIs, conducting research, monitoring performance, and maintaining scalable documentation and code. The role collaborates with data scientists, software engineers, and product teams.

Support end-to-end digital clinical workflows for 3D-printed orthotics and prosthetics: scan patient anatomy, produce patient-specific CAD models, prepare and manage print production, validate fittings with clinicians, maintain digital asset/version control, troubleshoot printers, train clinical staff, and stay current on materials and regulatory considerations.

Develop and maintain full-stack web applications, build responsive UI components, support APIs, databases, and server-side logic, and debug, test, and optimize software. Collaborate with product teams, participate in code reviews, follow coding standards, and document implementations. This remote internship provides mentorship, production-level experience, and potential full-time placement based on performance.

Support 3D scanning, CAD modeling, and additive manufacturing of custom orthotic and prosthetic devices. Prepare prints (orientation, supports, slicing), manage production workflows, validate fit with clinicians, maintain digital asset/version control, troubleshoot printers, implement QC, and train clinical staff. Attend clinics and industry events to drive adoption and iterate designs.

Lead and mentor a data engineering team to design, build, and optimize scalable batch and real-time data pipelines using Databricks, Spark, Delta Lake and cloud services (Azure/AWS). Implement Medallion architecture, ETL/ELT workflows (ADF/Databricks Workflows), CI/CD and IaC, ensure data governance, performance, and stakeholder collaboration.

Lead and execute firmware development for embedded devices from requirements to production. Design, code, test, debug, and optimize system software; interface with hardware; integrate and validate new products; support QA and post-production; assess third-party/open-source software; apply embedded design best practices; research and prototype proofs of concept; mentor junior engineers.

Lead design, build, and scale production-grade Generative AI applications using LLMs, RAG, LangChain, vector databases, and agentic systems. Own AI orchestration, containerized Kubernetes deployments, CI/CD, data ingestion from enterprise sources, monitoring for high uptime, and governance/compliance to deliver measurable business impact and reusable AI accelerators.

Support the compliance and legal teams with document preparation, deadline tracking, vendor deployment coordination, business analysis, AML/CFT research, Relativity data maintenance, report drafting, cross-team liaison, and general administrative tasks to ensure smooth project workflows.