Top Python Developer Jobs in Delhi

Design reproducible, multi-step computational life sciences tasks for AI agents. Create scientific datasets, workflows, solutions, grading criteria, and verifiable ground truths. Validate scientific reasoning, code, analyses, and outputs in controlled, network-isolated environments while incorporating reviewer feedback. The role requires strong Python programming, computational research experience, and expertise in life sciences domains such as bioinformatics, genomics, biostatistics, drug discovery, or structural biology.

Build and operate enterprise integrations across Salesforce, CPQ, contract management, NetSuite, Workato, and cloud data warehouses. Develop event-driven billing automation, MCP servers for internal AI agents, governed APIs, monitoring, security controls, and audit-ready integration processes. Own reliability, incident response, documentation, and on-call coverage while supporting the Lead-to-Cash transformation and other company-wide systems programs.

Own production dbt models and semantic-layer definitions for revenue metrics, including ARR, CARR, bookings, backlog, and churn. Translate Finance and business requirements into technical data specifications, reconcile metrics with NetSuite and financial close, build certified dashboards and AI-assisted reporting, and establish governance, testing, lineage, access controls, and measurement for the Lead-to-Cash program.

Develop and maintain Linux-based PCIe platform software, device drivers, hardware control services, management APIs, and validation frameworks. The role includes PCIe topology and configuration, low-level interface support, hardware-software debugging, automated testing, defect analysis, documentation, CI/CD, and customer platform bring-up. The engineer collaborates with hardware, firmware, architecture, validation, and customer engineering teams on semiconductor and FPGA-based platforms.

Design and build deterministic, auditable AI engines and conversational agents for finance platforms. Lead architecture across RAG, agent orchestration, structured outputs, grounding, evaluation, verification, and human-in-the-loop workflows. Develop production Python services with SQL and vector retrieval, support multi-cloud and on-premises deployments, mentor engineers, conduct design reviews, and communicate architecture decisions to technical and business stakeholders.

Design, build, and optimize GCP data ecosystems, including pipelines, data lakes, warehouses, storage architectures, and processing infrastructure. Gather requirements, model data, troubleshoot complex issues, tune performance, monitor systems, and support new functionality. Collaborate directly with clients and cross-functional teams, while mentoring junior data engineers and leading technical improvement discussions.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Develop and maintain reliable full-stack and backend software using Java and JavaScript. Design scalable components, database integrations, algorithms, and automated tests. Collaborate across development, operations, and security teams throughout the SDLC, participate in code reviews and sprint planning, support live applications, improve monitoring and self-recovery, and identify process bottlenecks. The role requires continuous delivery practices, cloud exposure, CI/CD knowledge, and strong software design and problem-solving skills.

Provides technical leadership for Azure data engineering projects, including solution architecture, data modeling, pipelines, data integration, code quality, QA, performance optimization, governance, security, and documentation. Collaborates with stakeholders and project managers to define scope, manage risks, and deliver scalable, efficient solutions. Requires strong Python, SQL, PySpark, Databricks, Azure Data Factory, Delta Lake, Synapse, Spark, data warehousing, governance, and Azure DevOps expertise.

Leads firmware testing for carrier-class optical telecommunications products. Responsibilities include developing test strategies, executing white-box and black-box testing, creating automated test frameworks and optical performance test cases, debugging cross-functional issues, performing root-cause analysis, and supporting sustenance releases. The role requires extensive embedded telecom testing experience, Python automation, optical test equipment expertise, and technical leadership across geographically distributed teams.

Design, build, and maintain scalable Azure-based data pipelines and systems (Databricks, Data Lake, Synapse, ADF). Collaborate with cross-functional teams, ensure data quality and integrity, optimize performance, monitor and troubleshoot systems, and stay current with industry trends to improve solutions.

Designs and implements DFT architectures and specifications for ASIC/SoC products. Responsibilities include scan insertion, ATPG pattern development, compression and clock-control insertion, optimizing test coverage and power, and pre- and post-silicon verification and debug. The role also requires gate-level simulation, failure analysis, scripting, and collaboration across product teams.

Design and build production AI-powered analytics: conversational interfaces, LLM agents, semantic data models, and scalable data pipelines. Partner with Product and Engineering to deploy RAG/MCP-based solutions, integrate AI with enterprise data and cloud platforms, mentor teams, and promote Responsible AI practices to improve decision-making and automation across the company.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

Leads the design and delivery of scalable platform capabilities across multiple engineering teams. Architects cloud-native, distributed systems and AI/ML integrations while ensuring availability, fault tolerance, and real-time processing. Oversees the software development lifecycle, including CI/CD, testing, monitoring, and incident response. Provides technical leadership, mentorship, and architectural guidance while partnering with stakeholders to translate business needs into technical requirements and driving continuous improvement.

Builds and maintains scalable data pipelines, data architecture, ETL infrastructure, and analytics tools. The role assembles complex datasets, improves data delivery and infrastructure scalability, supports cross-functional stakeholders, and enables actionable business insights. Required expertise includes SAS, Python, Java, MATLAB, SQL and NoSQL databases, Hadoop-based data warehousing, MapReduce, Hive, and Presto. The position requires 5–8 years of related experience and a bachelor’s degree or equivalent experience.

Software Engineering Apprentice role for 2026 computer science or engineering graduates without prior full-time employment. Responsibilities include solving software problems, gathering requirements, developing and testing Java, Python, and HTML5 programs, documenting code and tests, and improving product reliability, performance, observability, and efficiency. Candidates collaborate with global teams, learn new technologies and engineering practices, and apply computer science fundamentals to real-world projects.

Lead technical programs across engineering, security, product, legal, and enterprise teams. Drive cloud security initiatives, remediation SLAs, audit readiness, prioritization, launch readiness, deprecation, incident coordination, and Scrum ceremonies. Maintain program dashboards, status reporting, stakeholder communication, and execution frameworks. Apply cloud infrastructure and distributed-systems knowledge to assess risk, cost, performance, and readiness for products involving ML or LLMs.

Develop and own embedded software, platform support, device drivers, and control- and data-path features for Nokia optical networking products. Responsibilities span system architecture, software design, OS concepts, board bring-up, communications protocols, customer issue resolution, automated testing, and continuous integration. The role requires collaboration across digital packet and optical channel solutions while delivering high-quality features for customer-facing systems.

Lead the design, development, deployment, and architecture of scalable web applications and APIs using Microsoft technologies, Azure, Angular, GraphQL, and databases. Build cloud-native solutions, manage CI/CD deployments, optimize SQL queries, and ensure application performance, security, and scalability. Collaborate in Agile Scrum teams, translate business requirements into technical designs, mentor junior developers, conduct code reviews, and manage project deliverables.

Designs, implements, and troubleshoots CI/CD pipelines for containerized applications across cloud and hybrid environments. Manages Kubernetes, Docker, infrastructure orchestration, monitoring, observability, security, and reliability improvements. Automates operational processes, resolves complex production issues, supports SRE practices, documents systems, and participates in on-call rotations. The role also collaborates with engineering and QA teams and integrates AI-driven solutions into software delivery workflows.

Own the product’s engineering end to end as the sole initial engineer. Build and operate the AI coaching system, including prompting, conversation state, retrieval, model evaluation, moderation, and crisis safety mechanisms. Develop the Python backend, React Native mobile apps, React website, subscriptions, infrastructure, CI/CD, monitoring, and releases. Translate technical decisions for a nontechnical founder and clinical team while maintaining strong privacy, security, product quality, and responsible AI practices.

Develop AI-powered product features for local discovery, including personalized recommendations, content curation, search, and ranking. Build data pipelines by scraping, cleaning, and structuring datasets for machine learning models. Collaborate with product, design, and engineering teams to integrate AI into the platform, while continuously improving machine learning capabilities and user experiences.

Develop and maintain scalable, secure software solutions using server-side languages and cloud technologies. Responsibilities include writing clean code, contributing to architecture, conducting code reviews, integrating AWS services, troubleshooting technical issues, collaborating with cross-functional teams, and delivering projects on schedule. The role also involves building containerized applications and applying DevOps and infrastructure-as-code practices.

Conduct weather-focused research in India by developing dashboards, data pipelines, predictive models, and weather-data services. Analyze operational and research data, monitor data quality, troubleshoot systems, support randomized evaluations, and collaborate with government and research partners. The role also involves field research, survey design, workflow automation, staff training, and feasibility analysis for technology-driven agricultural services.