Top Python Developer Jobs in Delhi

CrowdStrike seeks a Regional Sales Engineer to support the sales team in India, focusing on identity protection, delivering presentations, configuring installations, and collaborating with various departments.

Partner with cross-functional teams to design and execute quantitative analyses, experiments, forecasting, and visualizations that influence product and business strategy. Translate data into stories and actionable recommendations, measure impact, and present findings to senior leadership.

Lead end-to-end data science initiatives to design, build, deploy, monitor, and optimize security-focused AI systems. Develop ML models, LLM fine-tuning, AI agents, and partner with product, engineering, and security teams while mentoring others.

As a Python Developer, you will develop fullstack applications, manage backend systems, and collaborate to drive technical solutions that impact business results.

As a Senior Customer Engineer, you manage technical relations, design solutions, deploy AI workflows, mentor peers, and ensure system integration for enterprise clients.

Design, build, and deploy event-driven automations to eliminate operational runbook toil. Operate and support production databases and streaming platforms, participate in on-call rotation, implement least-privilege IAM and auditability, and lead automation roadmap across data infrastructure.

Support Finance data quality and governance for regulatory compliance. Document data flows, onboard and manage data quality issues, collaborate with IT and finance SMEs, monitor datasets using tools, and drive continuous improvement and remediation to meet policy and KCIs.

Lead and grow Cloudflare's India Customer Engineering team as a technical people leader. Provide hands-on architecture and escalation support, drive regional technical strategy, partner with sales to close deals, run operating cadence for pipeline and adoption, hire and coach CE talent, and surface product and competitive feedback.

Technical leader designing and implementing scalable, fault-tolerant backend microservices and Agentic AI systems. Leads architecture, cloud infrastructure, data strategies, incident response, testing, and mentorship to deliver production-grade high-throughput solutions.

The role involves cleaning data, running machine learning models, developing data models, managing datasets, building dashboards, and documenting requirements.

Perform second-line triage and incident response, lead investigations and post-incident improvements, build runbooks and automation, tune detection across cloud/SaaS/container environments, support Web3 product launches, and mentor peers while participating in 24/7 rotational coverage.

Design, build, test, and deploy smart contracts and decentralized applications. Maintain blockchain integrations and backend services, optimize for security and gas efficiency, contribute to architecture and technical strategy, conduct code reviews, mentor junior engineers, and collaborate with product, frontend, and security teams.

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.

Lead GitLab's threat intelligence as a senior engineer: operate and extend the Threat Intelligence Platform, monitor relevant threats and feeds, perform OSINT and malware analysis to support incident response, automate workflows with code and AI, run purple team exercises, and share intelligence with industry peers to improve defenses.

Lead partner-focused pre-sales architecture for MongoDB Atlas: design scalable, secure cloud and hybrid solutions; advise partners and sellers; build joint offerings, demos, workshops, and reference architectures; support modern AI patterns (RAG, vector search); influence product roadmap; enable field teams and mentor peers.

As a Senior Site Reliability Engineer, you will enhance system reliability, automate infrastructure, mentor engineers, and implement observability practices.

As a POD Lead, you'll oversee data migration projects, utilizing Agile and Scrum methodologies, while leveraging your data expertise to drive transformation in financial services.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

The Data Analyst role involves defining source data, mapping data sets, reporting inconsistencies, assisting with data migrations, and managing stakeholder expectations. A focus on optimal solutions and strong communication skills in a banking context is essential.

Lead pre-sales technical efforts with partners and customers to design, demo, and deploy MongoDB-based solutions. Support account teams with discovery, proofs of value, architecture, performance tuning, and partner enablement. Serve as a trusted advisor, translate technical decisions into business value, mentor peers, and represent MongoDB at events and partner engagements.

Perform hands-on vulnerability triage and risk assessment across OS, containers, and dependencies; validate and reproduce customer and pentest findings; maintain and troubleshoot SAST/DAST and scanning pipelines; build PoC exploits to validate real-world risk; partner with Engineering to prioritize and ship fixes; improve vulnerability management processes and SLAs.

Lead design and implementation of autonomy and edge-AI software for air, land, and sea platforms. Develop tactical autonomy algorithms, integrate software with hardware, deploy and field-test capabilities, analyze mission data, mentor teammates, collaborate cross-functionally, and support customers and defense programs.

Develop and integrate autonomy and edge-AI capabilities using the Hivemind SDK for unmanned platforms across air, sea, and space. Work with customers to deploy and debug integrations, provide technical training, document solutions, collaborate with product teams, and conduct on-site deployments and flight testing (~30% travel).

Develop and integrate Hivemind autonomy capabilities for unmanned platforms across air/sea/space. Collaborate with customers to enable edge-AI, debug integrations, deploy infrastructure at customer sites, provide technical training, document systems, and work with product/engineering to iterate. Travel to customer sites (~30%).

Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.