Top Python Developer Jobs in Delhi

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Build and operate reliable, secure, and scalable CI/CD platforms, cloud infrastructure, and observability solutions. Automate deployments, manage Kubernetes and Jenkins pipelines, integrate build tools, and use monitoring/incident tools to support large-scale systems.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

Enable SRE teams to deliver end-to-end business observability with Dynatrace: integrate custom business metrics via Python, design business-centric dashboards, apply AI-based root cause analysis, monitor SAP BTP and Kubernetes, and coach SREs. Deliver optimized Dynatrace setups, production-ready scripts, dashboards, alerting rules, and documentation.

Design, deploy, and optimize cloud-native microservices platforms. Build and maintain CI/CD pipelines, manage containerized applications with Docker/Kubernetes, implement IaC (Terraform), and configure observability stacks including Prometheus, Grafana, ELK/EFK, and tracing tools.

Lead and mentor a Southeast Asia engineering team; ensure code quality and testing; drive project progress; define integrations strategy; design, build, and maintain third-party integrations; align engineering efforts with product and leadership.

Lead customer-facing development and deployment of production-ready ML, Generative AI, and agentic AI solutions for supply chain challenges. Partner with customers from discovery through adoption, build scalable ML pipelines and prototypes, evaluate emerging AI technologies, collaborate cross-functionally, and mentor team members to drive measurable business impact.

Design, scale, and maintain cloud infrastructure for core products; improve observability and alerting; participate in on-call rotations and lead incident response with RCAs; modernize CI/CD and automation; support product teams on architecture and reliability best practices; implement security and compliance controls.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

Provide technical support and troubleshooting for enterprise OpenStack and Kubernetes environments, manage escalations via portal/video, maintain documentation, train customers, and contribute to automation and process improvements while meeting SLAs.

Design, build and deploy production AI agents, workflows and data integrations on Microsoft AI platform. Collaborate with stakeholders, implement DevOps/MLOps, monitor models, ensure governance and reusable patterns, and continuously improve solutions.

As a Design Team Member, you will implement digital blocks to full-chip designs, focusing on physical design constraints and ensuring manufacturability by coordinating with various engineering teams.

The Design Verification Engineer ensures functional correctness of IPs and SoCs by developing verification environments, driving coverage closure, and automating tasks to enhance productivity.

Develop scalable Python backend services and secure APIs while designing and maintaining automated UI and backend testing frameworks. Integrate tests into CI/CD pipelines, support unit through end-to-end testing, identify and track defects, and contribute to code reviews and quality standards. The role bridges software development and quality assurance in an Agile/Scrum environment.

Build and ship AI-powered features for fashion, beauty, and home using large-scale product, image, and consumer data. Prototype with LLMs, agents, multimodal and CV models, run experiments, measure impact, and take models end-to-end from hypothesis to production while collaborating with product, design, and business teams.

Design, deploy, and automate scalable hybrid cloud infrastructure across AWS and Azure using IaC (Terraform/CloudFormation/ARM/Bicep). Build CI/CD pipelines, implement observability (Prometheus, Grafana, Datadog, CloudWatch, Splunk), lead incident response and RCA, define SLIs/SLOs, enforce DevSecOps practices, manage access (IAM/Azure AD/RBAC), and collaborate with engineering teams to optimize reliability and performance.

Develop and test software applications, debug technical issues, document solutions, research and resolve problems, and collaborate with senior leaders and cross-functional teams. The intern will create software solutions, learn emerging technologies, and work with React, Node.js, or Python. The internship lasts at least three months, with potential full-time continuation based on performance.

Design and own Databricks Lakehouse architectures, lead data engineering and migration projects, build ingestion/transformation pipelines (Python, PySpark, SQL), define data mesh and governance, integrate Databricks with AI/ML (feature pipelines, MLflow, vector/RAG), evaluate emerging table formats, optimize FinOps, mentor engineers, and align cross-functional stakeholders on enterprise-grade data platforms.

Design, build, and operate AWS/Azure cloud infrastructure and DevOps workflows. Own IaC, CI/CD, container and serverless deployments, monitoring, security, cost optimization, and cloud migrations while automating operations and collaborating with development, data, and ML teams.

Provides expert Level 3 support for cloud-based enterprise applications, leading complex diagnostics, incident resolution, root cause analysis, system monitoring, and client communications. Collaborates with Engineering, DevOps, Product, and Sales to improve platform stability, scalability, onboarding, and service delivery. Ensures compliance with Incident, Problem, and Change Management processes while using automation, scripting, observability, and ticketing tools.

Design and build reinforcement-learning training environments and diverse tasks to evaluate and improve LLM agents; iterate rapidly on task designs from customer feedback, deliver high-quality outputs with minimal supervision, and maintain PST overlap for collaboration.

Develop, customize, integrate, monitor, and optimize 1Password solutions for complex client projects. Implement security and compliance best practices, troubleshoot incidents, conduct audits, track performance, and provide rapid technical support. Collaborate with project teams, mentor junior developers, document solutions, deliver training, and report project progress. The role requires at least five years of 1Password development experience, programming proficiency, strong security knowledge, independent remote work capability, and excellent communication skills.

Develop and maintain embedded software and firmware for wireless access points, IoT devices, and Wi-Fi routers using C and C++. Build Python test automation, integrate Android framework functionality, implement network protocols and Wi-Fi profiles, debug wireless systems, and conduct certification pre-tests using Wireshark, Ellysis, and PTS.

Designs and conducts advanced technical interviews and assessments for senior big data candidates. Develops assessment criteria, evaluates technical and problem-solving skills, provides hiring recommendations, facilitates technical workshops, and mentors junior assessors. Collaborates with HR and engineering teams to align evaluations with role requirements and team dynamics. Maintains current knowledge of big data technologies and best practices while ensuring a strong candidate experience.

Lead Oracle EPM Planning and Essbase implementation and support, including cube processing, calculations, data loads, business rules, financial models, validation, and optimization. Develop Python-based integrations, transformations, automation, APIs, and data pipelines. Use SQL for data handling and work with REST APIs, data warehouses, and Oracle Analytics tools. Participate in solution design, Agile delivery, documentation, stakeholder collaboration, and version control with Git.