Top Python Developer Jobs in Delhi

DevOps Engineer role requiring 6-9 years' experience. Must have Python, Docker, Kubernetes, and Terraform skills. CI/CD, AWS and general DevOps experience are desirable. Location indicated as CHN.

Lead development of data pipelines, statistical models, and machine-learning solutions on cloud platforms. Cleanse, integrate, and analyze large structured and unstructured datasets, produce visualizations and reports, and communicate insights to business and executive stakeholders. Mentor team members, perform QA on data, troubleshoot database issues, and propose data-driven strategies and predictive models.

Serve as a finance-focused SAP S/4HANA functional advisor: review SI designs, validate end-to-end finance processes (FI/CO/COPA), produce functional documentation, lead UAT/integration testing, support change management, and partner with finance, SI, and IT during go-live and hypercare.

Develop, support and maintain Oracle EBS R12 and Oracle Cloud ERP technical solutions for Finance modules. Build PL/SQL packages, reports, data models, and integrations; troubleshoot production issues; participate in testing, documentation, and cloud/patch updates while collaborating with analysts and senior developers.

Analyze core product metrics, run and evaluate A/B tests, support hypothesis prioritization, dig into raw data for growth insights, compute cohort LTV/CAC/ARPU, and build revenue forecasting models for new features.

Lead design, build, and operate production Generative AI systems: LLM-powered copilots, chatbots, agents, RAG systems, and backend inference services. Drive LLMOps, optimize for latency/cost/reliability, apply Responsible AI, mentor engineers, and partner with product, platform, and security teams.

Develop and maintain data pipelines, APIs, and analytical systems. Mentor junior engineers and collaborate with teams to drive software development best practices.

Lead and execute IT audit engagements across APAC, evaluating IT infrastructure, cybersecurity, applications, and controls. Use data analytics to design and perform data-driven audit procedures, validate remediation, prepare audit reports and working papers, support continuous auditing and automation, and collaborate with regional/global audit teams and governance forums.

Design, build, and maintain scalable test automation frameworks and suites for web, API, microservices, and backend systems. Integrate tests into CI/CD, perform functional, integration, regression, performance and E2E testing, analyze results, report defects, and drive quality engineering best practices across teams.

Lead the development of AI/ML solutions, providing technical leadership and driving project frameworks from ideation to deployment, while collaborating with various teams to overcome challenges and ensure best practices.

Lead design, development, and optimization of scalable cloud data platforms and pipelines across AWS/Azure/GCP. Build ETL/ELT processes, data models, and lakehouse/warehouse solutions; implement MDM and governance; support analytics/BI, pre-sales PoCs, mentor junior engineers, and ensure security and cost/performance tuning.

Build and maintain scalable Azure cloud data platforms and ETL/ELT pipelines using Databricks, Synapse, ADF, ADLS. Develop SQL and Python/PySpark transformations, monitor pipeline health, troubleshoot failures, and collaborate with architects, QA, DevOps, and business stakeholders.

As a Solutions Engineer, you'll work closely with national security partners to develop and deploy software solutions, while providing technical consultation and support.

The DevOps Engineer will design CI/CD pipelines, manage cloud infrastructure, integrate security protocols, and collaborate in Agile environments to enhance security practices.

As a Data Engineer, you'll develop data pipelines, automate processes, and collaborate with teams to enhance data management and analytics for national security. You'll analyze raw data, manage data platforms, and engage with clients.

The Senior Associate Data Engineer develops structured datasets for analysis, manages ETL processes, and designs data models to support business analytics and reporting.

The Software Development Engineer II will lead the engineering team to develop core product features for predicting and preventing cyber breaches, ensuring high-quality code and collaborating with stakeholders.

As an Engineering Manager, you'll lead a team of engineers, providing technical guidance, strategy, and project management to develop solutions that prevent cyber breaches.

The MLOps Engineer designs, develops, and tests software systems in a micro-services environment, focusing on cloud architecture, APIs, and ML/AI algorithms.

The role involves designing and building data infrastructure, developing ETL/ELT applications, collaborating with teams, and improving engineering processes for analytics and AI capabilities.

The Data Architect will design and implement data infrastructure, collaborating with teams to enhance data usage for analytics, automation, and AI, while ensuring compliance and governance.

The Senior Consultant will develop and review financial models, drive insights through data analytics, manage stakeholders, and engage directly with clients, focusing on financial modeling and advanced analytics within various industries.

The Associate Vice President will lead AI and ML solutions for complex due diligence processes, managing client relationships, mentoring juniors, and ensuring effective project delivery in financial services and related sectors.

The role involves designing and building bespoke financial valuation models, ensuring analytical depth and accuracy, while integrating them into scalable frameworks using advanced modeling techniques.

The Senior Data Engineer will design and build data infrastructure and pipelines, enhance AI capabilities, and collaborate with teams on data solutions while mentoring junior engineers.