Top Python Developer Jobs in Delhi

Lead and evolve SRE best practices, observability, and incident response. Design and automate cloud infrastructure, Kubernetes platforms, and IaC. Mentor engineers, drive large platform initiatives, reduce operational toil, and improve reliability, scalability, performance, and security across services.

Design, develop, and maintain automated validation suites across web, mainframe, API, desktop, file, and email workflows. Build and enhance automation frameworks using Java/Python/JavaScript and modern test frameworks. Integrate LLM-based capabilities for test generation, failure analysis, and data creation. Validate core banking and payments flows in NA Retail Banking. Collaborate in Agile/Scrum teams and ensure robust test architecture and framework development.

Designs, builds, and maintains scalable automated test frameworks across UI, API, integration, and performance. Writes production-quality test code, integrates tests into CI/CD, drives shift-left testing, measures quality metrics, leads root cause analysis, manages test data/environments, mentors SDETs, and collaborates with Architecture, Security, and SRE to cover non-functional requirements.

Support Global Costing by executing quarterly standard costing, maintaining SAP and Impact3C, performing product costing and manufacturing cost analysis, analyzing cost variances, supporting COGS and inventory valuation, partnering with Finance/Operations/Supply Chain/IT, driving process automation, and ensuring SOX and accounting policy compliance.

Design, develop, and deploy deep learning and computer vision models for fraud detection (including deepfake and synthetic data detection). Own production models, research new algorithms, deploy on AWS SageMaker or devices, monitor model performance, and collaborate with engineers and product managers in an Agile environment.

The Support Systems Specialist manages and optimizes Zendesk configurations, designs routing logic, collaborates with teams, and enhances operational efficiency in support systems.

Operate and scale low-latency, high-availability trading infrastructure; automate and manage IaC; monitor and respond to incidents; optimize system and network performance; implement secure CI/CD and IAM practices; collaborate with trading, engineering, and security teams; participate in rotational on-call support.

The Senior Data Engineer will develop data ingestion, transformation, and enrichment pipelines, ensuring data quality and reliability. Responsibilities include creating Bronze and Silver data layers, using SQL and dbt for implementation, and collaborating with architects and stakeholders to align data solutions with enterprise standards.

The SDET/Senior SDET will develop and refine quality strategies, mentor team members, and enhance automation frameworks using Python and Javascript.

Design, develop, and maintain Splunk dashboards, reports, alerts and integrations. Administer Splunk Enterprise and forwarders, implement custom scripts (Python/PowerShell), analyze and optimize performance, collaborate with stakeholders in Agile ceremonies, mentor developers, and maintain documentation.

The Solutions Engineer will support direct sales cycles, providing technical expertise and tailored solutions for customers, while collaborating closely with Sales, Product, and Engineering teams.

Design and operate governed, AI-ready data products, semantic layers, and natural-language analytics experiences on Snowflake and/or Databricks. Build ETL/ELT pipelines with dbt, Airflow, Snowpark, and PySpark; deploy Cortex or Genie capabilities; develop RAG applications; implement governance, security, lineage, and metadata controls; optimize platform and LLM costs; and partner with Finance stakeholders on trusted data products.

Designs, builds, evaluates, and deploys machine learning, deep learning, and LLM-based systems. Owns the end-to-end data science lifecycle, including problem definition, deployment, monitoring, reproducible pipelines, model validation, drift detection, and experiment tracking. Collaborates with product and domain teams to develop modeling strategies and improves system performance, reliability, documentation, and processes.

Analyze user engagement, retention, cohort, funnel, and A/B testing data to identify product opportunities. Build Tableau dashboards, write SQL queries, and use Alteryx for automated data pipelines and recurring reporting. Partner with Product, Program, Data, and Engineering teams to define metrics, measure feature impact, improve data quality, and communicate actionable recommendations to technical and non-technical stakeholders.

Design, implement, and optimize data-driven trading strategies for Asian markets. Responsibilities include analyzing large datasets, applying statistical and machine learning methods, developing high-performance production code, building research and backtesting pipelines, productionizing strategies, monitoring performance, and collaborating with engineering teams to ensure scalable, robust systems.

Develop and maintain full-stack internal applications for quant, infrastructure, compliance, and operations teams in a high-performance trading environment. Responsibilities include designing solutions, developing and testing software, deploying and monitoring applications, improving trading-monitoring tools, manipulating and interpreting data, enhancing user experience, and collaborating with stakeholders across multiple high-priority projects.

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, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG systems using Python, AWS Bedrock, and major ML frameworks. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions on AWS, and manage CI/CD. Design databases and automated ETL pipelines, integrate cloud services, and document AI workflows while collaborating with cross-functional technical 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.

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 implement statistical programming for clinical trials: generate SDTM/ADaM/Define.xml, develop and validate SAS/R programs, produce tables/listings/figures, oversee CRO deliverables, support regulatory submissions and clinical study reporting, and maintain programming standards and SOPs.

Design, develop, and deploy scalable AI/ML and Generative AI solutions (LLMs, RAG, agentic AI). Build AI agents, create intelligent workflows, fine-tune and monitor models, integrate with enterprise systems, and support production deployment and continuous improvement.

Design, develop, and maintain scalable full-stack applications using Angular/React and TypeScript. Build backend services in Python and .NET Core, implement microservices architecture, integrate databases (SQL Server, PostgreSQL, MongoDB) via REST APIs, ensure performance and code quality, participate in CI/CD, debugging, deployments, and collaborate with cross-functional teams.