Top Python Developer Jobs in Delhi

Leads business insights for global eCommerce by analyzing commercial performance across merchandising, pricing, marketing, CRM, content, supply chain, and customer behavior. Identifies anomalies, root causes, risks, and opportunities through hypothesis-led analysis, then delivers prioritized recommendations and executive-ready data stories. Partners with cross-functional and market teams to support performance reviews, planning, and commercial decision-making.

Own end-to-end development of web and AI features, including conversational voice and email agents, language-model orchestration, retrieval, evaluation frameworks, monitoring, and production releases. Build across Python and TypeScript/React while balancing customer needs, product priorities, performance, latency, and cost. The role requires autonomous product judgment and experience taking AI systems into production.

Design and scale automation and AI-driven solutions for security governance, risk, and compliance. Build evidence-collection pipelines, integrate GRC platforms with security and IT systems, develop scripts and workflow tools, and apply LLMs to control testing, evidence review, policy mapping, and risk reporting. Establish guardrails for accurate and compliant AI outputs while partnering with security, engineering, data, and business teams to improve compliance operations and security posture.

Develop end-to-end classification and forecasting models, including data preparation, exploratory analysis, feature engineering, model training, tuning, evaluation, visualization, and deployment support. Collaborate with data and AI engineers on productionization, monitoring, dashboards, and reproducible documentation. Apply Python, SQL, classical machine learning, time-series modeling, cloud platforms, and business-focused analytics to solve problems such as demand forecasting and churn prediction.

Owns the enterprise DLP program, secures Azure and AWS environments, and leads high-severity security incident response outside US hours. Responsibilities include DLP policy design and tuning, cloud security assessments, remediation, identity and workload hardening, alert escalation, MSSP integration, L2 team enablement, automation playbooks, audit support, and security metrics reporting. The role requires collaboration with Legal, IT, business stakeholders, and global security teams while maintaining ISO 27001 and privacy compliance.

Owns end-to-end product features across the full stack, including conversational voice and email AI agents, LLM tool orchestration, deterministic safeguards, evaluation frameworks, vector search, monitoring, tracing, and staged production releases. The role requires strong product judgment, system-design skills, real-time processing experience, and independent execution in a remote India-based environment.

Build Gather AI’s data foundation from scratch by creating PostgreSQL extraction pipelines, dbt models, semantic metrics, data quality controls, tenant isolation, lineage, and documentation. The role includes warehouse data movement, ingestion-boundary validation, CI/CD delivery, safe backfills, on-call ownership, and collaboration across product, ML, security, and integration teams. Engineers will initially support the Drone product and later expand the platform to additional robotics and warehouse products.

Build full-stack tools, backend services, APIs, dashboards, and data workflows for assessing and improving AI training data and evaluations. Partner with quality and research teams to inspect agent trajectories, validate graders, measure quality, investigate workflow issues, and turn internal prototypes into reliable production platform capabilities.

Leads member acquisition and growth analytics projects, using SQL and Python to analyze marketing performance, attribution, ROI, customer lifetime value, cohorts, and campaign KPIs. Presents actionable insights to senior stakeholders, develops analytics roadmaps, supports budget optimization, integrates third-party marketing data, and influences analysts, engineers, and data scientists. The role also promotes data-driven decision-making, storytelling, prioritization, and performance marketing improvements.

Supports public policy research, stakeholder mapping, partnership development, grant applications, policy writing, workshops, field visits, and project coordination with government institutions and external partners. The fellow contributes to work involving data governance, responsible AI, digital public infrastructure, and public-interest technology. This is a full-time, six-month hybrid fellowship in Delhi open to freshers and candidates with up to two years of relevant experience.

Designs, experiments with, deploys, monitors, and evaluates machine learning models. Requires full-stack development involving Python, React, AWS, APIs, and SQL, along with statistical and probabilistic foundations. The role supports AI/ML initiatives in a consulting environment serving financial services and energy clients.

Analyze structured and unstructured data to identify trends, build dashboards and reports, define KPIs, validate data quality, and provide actionable recommendations. The role requires SQL, BI visualization, Excel, relational database experience, and collaboration with business and technical stakeholders. Preferred skills include Python, ETL and data warehousing, cloud platforms, statistical analysis, forecasting, machine learning concepts, and Agile experience.

Design and maintain analytical pipelines and reporting solutions using BigQuery and MariaDB. Develop Python and FastAPI tooling, APIs, and automation; write advanced SQL; apply AI/ML capabilities; document data architecture and lineage; and translate complex analysis into actionable business insights. Collaborate across departments on process improvements and independently own analytics projects end to end.

Administers and secures enterprise Active Directory, AD CS, PKI, and hybrid Microsoft Entra identity environments. Manages certificate lifecycles, directory architecture, synchronization, authentication, authorization, trust, monitoring, automation, incident response, compliance, and disaster recovery. Troubleshoots complex directory and certificate issues, partners with Security and Infrastructure teams, documents procedures, and trains technical stakeholders.

Lead quality engineering vision and roadmap across product lines, drive CI/CD and release readiness, embed shift-left/shift-right practices, adopt AI-driven testing, mentor SDET managers, align quality metrics with executives, and architect test strategies for distributed systems and mobile.

Designs, implements, and manages workforce IAM solutions across enterprise applications and hybrid directories. Leads identity integrations during mergers, acquisitions, and divestitures; consolidates identity providers; automates onboarding and offboarding; and develops API-driven workflows. Enforces SSO, MFA, PAM, RBAC, least-privilege, and conditional-access controls. Supports compliance audits, access reviews, troubleshooting, technical documentation, and cross-functional collaboration across security, IT, HR, and application teams.

Designs, implements, and manages workforce IAM and IGA solutions using SailPoint. Responsibilities include M&A identity migrations, application and HRMS integrations, automated provisioning, access certifications, RBAC, lifecycle management, directory services, platform upgrades, compliance, troubleshooting, and technical documentation. The role collaborates with security, IT, HR, and application teams while supporting enterprise-scale identity integrations and secure access controls.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Lead architecture and development of cloud-native, containerized microservices. Build event-driven backends, gRPC/REST APIs, and telemetry pipelines using graph and time-series databases. Integrate AI/ML models into data pipelines and deploy applications with Docker and Kubernetes.

Design and develop C/C++ software for Ethernet and optical networking systems, including OTN protocols and embedded Linux platforms. Responsibilities include board bring-up, interface driver development, unit test harness creation in Python, requirements review, feature integration, validation, and coding quality checks. The role collaborates with diverse teams and values adaptability. Experience with FPGA programming, agile methods, and DWDM transport is advantageous.

Lead FP&A business partnering, budgeting, forecasting, long-range planning, consolidation, variance analysis, executive reporting, financial modeling, and scenario planning. Provide actionable insights to senior stakeholders, build capacity and expense models, improve reporting processes, and apply automation, analytics, and AI to increase efficiency and accuracy.

Lead FP&A activities including budgeting, forecasting, long-range planning, performance reporting, variance analysis, financial modeling, and executive decision support. Partner with senior stakeholders to deliver actionable insights, build revenue and expense models, and support headcount planning. Improve finance processes through automation, analytics, AI adoption, and tools such as Snowflake, Alteryx, Power BI, Excel, and Adaptive Planning.

Build, maintain, and optimize enterprise data platforms using Databricks, Spark, cloud technologies, and DevOps practices. Develop CI/CD pipelines, support cloud migration and automation, monitor platform health, troubleshoot incidents, and ensure reliable, secure, and scalable data services. Participate in rotational production support across global time zones, perform root cause analysis, maintain operational documentation, and collaborate with engineering, architecture, product, and business teams.

Administer and secure CyberArk Privileged Cloud and enterprise privileged access environments. Manage non-human identities, service accounts, API keys, secrets, certificates, and workload identities throughout their lifecycles. Troubleshoot PAM, authentication, network, and connectivity issues; automate onboarding and credential rotation with PowerShell, Python, and APIs; support SIEM monitoring and incident response; and build Power BI reporting. Partner with security, infrastructure, and application teams while enforcing least privilege, compliance, documentation, training, and continuous improvement.

Administers and automates Saviynt IGA environments, including application onboarding, connectors, lifecycle workflows, access certifications, RBAC, SoD controls, and entitlement management. Develops PowerShell and Python integrations using REST APIs and SCIM, troubleshoots provisioning issues, analyzes logs, supports SIEM and incident response, and ensures compliance with SOX, PCI-DSS, NIST, and ISO 27001. Partners with security, infrastructure, application, and audit teams while documenting processes, training stakeholders, and improving governance operations.