Top Python Developer Jobs in Delhi

Design and automate AWS security policies, map them to IaC (Terraform/CloudFormation/CDK), embed security testing in CI/CD, perform vulnerability assessments and penetration testing, and collaborate with development/DevOps teams to enforce remediation, compliance, and continuous security improvements.

Build and maintain GCP-based data pipelines and infrastructure to support generative AI/NLP model training, ensure data privacy and security, integrate backend with web and mobile apps, collaborate with AI and DevOps teams, and implement monitoring and optimization for production performance.

Build and manage CI/CD pipelines, operate cloud infrastructure (AWS/PaaS), containerize applications with Docker, write automation in Python/C#/Scala/PLSQL, apply Agile/SCRUM practices, use pipeline-as-code, work with messaging frameworks, mentor junior engineers, and document technical decisions.

Design, develop, and maintain automated test scripts and JavaScript/TypeScript-based frameworks using Playwright/Cypress. Implement API and end-to-end automation, use BDD/Cucumber, improve automation coverage, and follow defined QA processes.

Provide application support for cloud-hosted systems including log analysis, file transfer, incident management, CI/CD automation, and scripting. Use AWS, Kubernetes, Datadog, CI/CD tools, SQL and shell/Perl/Python to troubleshoot, automate, and maintain deployments. Collaborate with teams, follow ITIL processes, and support delivery in a fast-paced environment.

Design and architect AI/GenAI solutions on GCP; create architecture diagrams; develop, deploy, and optimize ML models; preprocess and manage large datasets; provide technical guidance to engineering teams; and present solutions to clients.

Design, build, and maintain ELT/data pipelines and workflow orchestration using Airflow, Python, and PySpark. Develop custom connectors to ingest diverse data, implement DataOps and data CI/CD pipelines, monitor and troubleshoot pipelines, validate data quality, collaborate with cross-functional teams, document workflows, and work with large-scale distributed datasets and visualization tools.

Design, fine-tune, and deploy generative AI models (LLMs, diffusion, VAEs). Build data pipelines and APIs, integrate AI into production, optimize model performance and latency, and collaborate with cross-functional teams to deliver AI-powered solutions.

Senior Business Analyst who gathers and documents requirements, creates epics and user stories, develops functional specifications and AS-IS/TO-BE process flows, supports testing (SIT/UAT), partners with development teams, manages requirement changes, leads BA team activities, and facilitates implementation via training and documentation.

Senior software engineer responsible for developing cloud-based solutions using AWS services (S3, Lambda, RDS, DMS, Kinesis, EC2), Python scripting, and SQL/Oracle PL/SQL. Role requires strong debugging and analytical skills and working knowledge of Agile methodologies. Nice-to-have experience includes CloudFormation, Glue, Step Functions, data migration, microservices, ETL tools, and Java REST web services.

Design, develop, and maintain scalable, high-performance applications on the LivePerson platform. Collaborate with product, design, QA, and engineering teams to implement features, integrate third-party APIs, troubleshoot production issues, participate in code reviews, and contribute to architecture and test automation. Stay current with emerging technologies and support reliable releases in an agile environment.

Senior-level data scientist to build and maintain data solutions using Snowflake, Python, and AWS (S3). Responsibilities include DevOps/Control-M integration, data modeling, problem solving, independent work, and clear communication; financial domain knowledge is a plus.

Build and maintain a single-spa micro-frontend client portal: implement dashboard MFEs, admin console, OpenFGA authorization model, CI/CD pipelines, observability integrations, and cloud infrastructure. Own features end-to-end from acceptance criteria to production, collaborate with component library team, and improve platform reliability and extensibility.

Design, develop, deploy, and manage API proxies on Apigee Edge/X across on-prem, cloud (GCP), and hybrid environments. Implement security and traffic policies, troubleshoot runtime issues, integrate with backend systems, configure environments, and support CI/CD deployments with documentation and monitoring.

Design, execute, and analyze load, stress, endurance, and spike tests for web and enterprise applications. Monitor systems with APM and log tools, identify bottlenecks across application, database, and infrastructure layers, collaborate with dev/QA/DevOps to resolve issues, and produce performance reports with optimization recommendations.

Design, build, and maintain scalable data pipelines and ETL processes using Python and PySpark. Orchestrate workflows with Airflow, query data with Trino and Hive, and write efficient SQL. Collaborate in Agile/Scrum teams to deliver data solutions and optimize data platform performance.

Provide hands-on cloud application support including log analysis, SFTP, SQL/PLSQL debugging, scripting (Shell/Perl/Python), CI/CD automation, observability (Datadog), and work rotating shifts to meet SLAs and ITSM processes.

Lead end-to-end email and multi-channel campaign execution and automation. Configure audience segmentation, workflows, and integrations (APIs/SQL). Manage data uploads/validation, optimize deliverability, and collaborate with cross-functional teams to align campaigns with business goals. Maintain documentation and platform best practices.

Design, build, and maintain cloud platform infrastructure and CI/CD pipelines using IaC and automation. Support production environments, troubleshoot incidents, monitor with Splunk/AppDynamics, work with containers, Kubernetes, Terraform, Ansible, and collaborate with scrum teams and vendors.

QA Engineer responsible for ETL testing using SQL/PLSQL and ETL tools. Requires Python and basic cloud knowledge. Automation/UI testing (e.g., Playwright) is a plus.

Lead migration from on-premises Oracle to Snowflake. Design, optimize, and maintain complex SQL queries, build Python data pipelines, and use AWS services (Lambda, SNS, SQS, S3). Ensure data integrity, performance, and scalable cloud data solutions while collaborating across teams.

Design, develop, test, and deploy scalable end-to-end web applications. Build responsive front-ends, develop backend APIs and services, design databases, optimize performance and security, collaborate with cross-functional teams, troubleshoot and upgrade systems, participate in code reviews, and maintain clean, maintainable code.

Deliver data engineering and analysis work using Python, PySpark, SQL and data platforms (Airflow, Trino, Hive). Produce LLD, coordinate offshore teams, follow Agile/Scrum, and work with container platforms (Linux, OpenShift, Kubernetes) and visualization (Superset). Banking domain experience is a plus.

Act as liaison between business and technical teams to gather and document requirements, analyze processes and data, create process maps, user stories, and dashboards, support project management and QA, and facilitate stakeholder workshops to drive improvement and automation.

Provide level-2 AWS cloud operations support for the Asset Management business: assess business impact via customer interaction, perform initial troubleshooting and analysis, remediate issues via data manipulation or application tools, and coordinate software/bug fixes with development teams across non-production and production environments.