Top Python Developer Jobs in Delhi

Leads the architecture and delivery of production-grade agentic and generative AI systems, including LLM agents, RAG pipelines, multi-agent workflows, and scalable cloud applications. Guides technical architecture, production engineering, LLMOps, evaluation, observability, security, and responsible AI practices. Mentors AI/ML and backend engineers, conducts design and code reviews, and collaborates with product, data, platform, security, compliance, and executive stakeholders.

Lead architecture and design of cloud-native, carrier-grade telecom applications using Kubernetes and Java. Translate business requirements into scalable solutions, implement Helm-based deployments, optimize performance and reliability, support cloud/virtualized/bare-metal deployments, guide Agile development, and collaborate with product, engineering, and customer teams.

Owns IT product enhancements, technical innovation, implementation roadmaps, performance excellence, and business escalation management. Collaborates with Operations to deliver and maintain high-quality IT products and platforms. Requires management experience, strong AI solution knowledge, development and implementation expertise, and deep Atlassian Cloud proficiency. Familiarity with data privacy, GDPR, Java, testing, APIs, scripting, SQL, and CI/CD is beneficial.

Designs and owns scalable cloud-native software architecture, develops full-stack applications using Java, Python, and related technologies, and deploys microservices with Kubernetes, Docker, and Azure. Responsibilities include architectural decision-making, feature development, integration and unit testing, DevOps and CI/CD practices, Agile/Scrum collaboration, and coordination with distributed development teams. The role requires expertise in multiple programming languages, Spring technologies, databases, cloud infrastructure, and AI-assisted development tools.

Participate in structured SAP training covering S/4HANA, business processes, configuration concepts, testing, documentation, and troubleshooting. Assist senior consultants with requirements gathering, issue tracking, process analysis, and project scenarios. Develop functional or technical expertise across SAP areas such as FICO, MM, SD, ABAP, Basis, BTP, and SuccessFactors, with mentorship and preparation for entry-level SAP consulting roles.

Analyze customer behavior and product usage across HighLevel’s lead-generation products. Define and monitor product metrics, build dashboards, conduct funnel, cohort, segmentation, retention, and journey analyses, evaluate experiments and feature launches, improve tracking instrumentation, and identify growth opportunities. Partner with Product, Engineering, Design, Data, and GTM teams to translate complex data into actionable recommendations for roadmap prioritization, product improvements, conversion, adoption, engagement, and retention.

Design and secure enterprise data architectures and integrations across Finance, HR, Procurement, Legal, and other G&A systems. Build API, webhook, microservice, and file-based integrations; define data models, lineage, and ownership; implement AI and MCP-enabled automation; enforce encryption, masking, access controls, and SOX/GDPR compliance; and collaborate with business, security, and audit teams to deliver reliable, scalable systems.

Leads end-to-end data products from ingestion and transformation through semantic modeling, Power BI reporting, documentation, governance, and user adoption. Builds Microsoft Fabric pipelines, Lakehouse or Warehouse architectures, dimensional models, and secure, optimized Power BI solutions. Analyzes data, supports advanced analytics and AI-assisted reporting, establishes quality and CI/CD practices, collaborates with cross-functional stakeholders, and manages data engineers through objectives, reviews, and development.

Build production software for automated GPU and inference cluster provisioning. Design declarative APIs, control planes, state machines, reconciliation loops, durable workflows, and self-healing systems that manage hardware from discovery through deployment, operation, repair, and decommissioning. Partner with inference and ML platform teams to model cluster topology and scheduling requirements. Own reliability, testing, CI/CD, deployment, and production operations for the platform.

Architect and build scalable batch and streaming data pipelines, trusted datasets, semantic and metric layers, and enterprise data platforms. Own data quality, observability, monitoring, testing, and documentation. Apply dimensional modeling, Data Vault, or One Big Table principles in multi-tenant environments, including multi-region replication. Partner with business, AI, product, and client teams to translate requirements into reliable analytics and AI-querying solutions.

Designs and implements computer vision and machine learning algorithms for aquaculture applications. Responsibilities include developing prototypes, conducting experiments, building data-processing and training pipelines, maintaining model testing and statistical verification, extending AI codebases, documenting research, leading long-term research, recruiting talent, and tracking AI developments. The role may also involve production deployment, inference optimization, MLOps, cloud platforms, and occasional visits to aquaculture sites.

Lead architecture and delivery of Salesforce Data Cloud CDP solutions: design data models and ingestion pipelines, integrate Data Cloud with Marketing Cloud and other MarTech, ensure data quality/privacy, optimize performance, mentor engineers, and support audience segmentation and journey orchestration.

Drive process improvement, automation, and analytics across SOX, Internal Audit, and Enterprise Risk Management functions. Map workflows, eliminate manual effort, build CI/CD-enabled automation and testing frameworks, and develop Power BI dashboards using Python and SQL. Configure Jira workflows and compliance automation, implement compliance-as-code monitoring, and apply GenAI with audit-ready guardrails. Partner with technology and compliance teams to deliver scalable, measurable, and defensible solutions.

Build and improve Ironclad contract lifecycle management workflows, including intake, approvals, document generation, e-signature, and post-signature tracking. Maintain templates, clause libraries, data structures, and reporting; monitor platform performance; resolve issues; and support releases. Partner with Legal, Procurement, Privacy, Security, and Finance to automate contracting processes, improve data quality, support migrations, and deliver scalable self-service solutions.

Leads process engineering and APC/MPC activities across FEED, detailed engineering, digital solutions, commissioning, and performance projects. Responsibilities include process assessments, mass and energy balances, operating envelope development, dynamic modeling, control strategy design, KPI validation, plant testing, controller optimization, troubleshooting, documentation, training, and multidisciplinary stakeholder coordination. The role supports industrial digitalization projects across continuous-process industries and requires international travel to project sites.

Lead architecture and delivery of Salesforce Data Cloud CDP solutions: design data models and ingestion pipelines, integrate Data Cloud with MarTech (MCP) for activation and personalization, ensure data quality/privacy compliance, troubleshoot integrations, mentor engineers, and support audience segmentation and journey orchestration.

Responsible for black-box testing and verification of MaxScale across many configurations, managing packaging and quarterly releases, maintaining automated build infrastructure, troubleshooting builds, reproducing customer issues, and contributing test cases or fixes. Works closely with support, development, and release teams.

Design, develop, and optimize autonomous AI agents capable of reasoning, planning, tool use, and multi-step execution. Build agent frameworks, human-AI collaboration mechanisms, monitoring and evaluation systems, and production integrations. Apply large language models, prompt engineering, reinforcement learning, planning algorithms, workflow orchestration, and system design. Collaborate cross-functionally while researching advances in agent technology and improving reliability, accuracy, safety, and efficiency.

Participate in cryptography research for blockchain applications, focusing on post-quantum signatures, threshold signatures, signature aggregation, and proof systems. Benchmark NIST PQ standards, collaborate with senior researchers to apply results, publish findings, and contribute to open-source projects.

Develop and optimize marketing-focused algorithmic models (CTR/CVR, LTV, attribution, uplift), design lifecycle strategies for acquisition/retention, validate via A/B testing and causal inference, and collaborate with data/product/operations to deploy models into marketing systems to drive growth.

Designs and maintains automated test scripts and scalable frameworks for web, mobile, and API applications. Performs functional, regression, integration, system, smoke, and manual testing; validates RESTful APIs and databases; tracks defects; analyzes test results; and prepares reports. Collaborates with development, business, and product teams, integrates tests into CI/CD pipelines, participates in Agile ceremonies and code reviews, and supports quality assurance across software applications.

Analyze EMEA marketing performance across B2B and B2C funnels, identify trends and opportunities, and provide evidence-based recommendations to marketing leadership. Collaborate with Sales, Product, Finance, and customer engagement teams to improve strategy and revenue outcomes. Build reports and presentations that translate complex data into actionable insights, champion advanced analytics and marketing technology, and support innovation across global marketing practices.

Provides customer-facing technical support by owning tickets from intake through resolution, meeting SLAs, troubleshooting data quality and integration issues, documenting solutions, and coordinating escalations. The role also contributes to knowledge management, pipeline monitoring, dashboards, AI agents, and workflow automation. Success requires accuracy, customer empathy, strong communication, systematic problem-solving, and the ability to manage multiple priorities in a remote, fast-paced SaaS environment.

Build and support DevOps capabilities using Kubernetes, AKS, Azure, Git, ARM templates, scripting, CI/CD pipelines, Azure DevOps, GitHub Actions, Ansible Tower, and Terraform. Apply container orchestration, networking, and Agile methodologies to automate and manage cloud infrastructure and software delivery.

Develop, test, and maintain full-stack software (Python/FastAPI) for order, delivery, and assurance systems. Build APIs, implement persistence with SQL/NoSQL, apply CI/CD and cloud-native practices, participate in code reviews, agile ceremonies, and collaborate with product and operations teams to deliver features and fixes.