Top Python Developer Jobs in Delhi

The Senior Data Engineer - II will design data pipelines, optimize ETL workflows, manage databases, and support Power BI reporting for business decisions.

Design, build, and operate scalable, automation-driven enterprise platforms focused on identity and access management. Implement IaC, CI/CD, secure access (Zero Trust), system integrations, and collaborate with security and cross-functional teams to improve reliability and reduce manual work.

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.

Lead end-to-end physical implementation of major IP blocks or full-chip designs: floorplanning, place-and-route, clock tree synthesis, timing closure, physical verification, and automation of flows. Collaborate with RTL, DFT, verification, package, and library teams to meet PPA targets, mentor junior engineers, and drive manufacturability and sign-off across PVT corners.

Lead cloud infrastructure monitoring, automate operations, and design AI-driven predictive monitoring and automated incident response. Manage CI/CD pipelines, enforce cloud security/compliance, build monitoring/logging/alerting systems, perform incident triage and collaborate with development teams to optimize cloud resources.

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.

Lead the development of a data platform using Apache technologies, optimize distributed data systems, and contribute to the open-source community by driving project direction and enhancing functionality.

The Forward Deployed Senior Software Engineer will lead initiatives in building custom solutions and algorithms for healthcare data, collaborating with various teams to enhance customer experience and project delivery.

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

Operate and improve a Kubernetes-based platform: deploy, upgrade, and maintain components; build automation and CI/CD tooling; monitor and respond to incidents; define SLIs/SLOs and support compliance, audits, and system hardening while collaborating across teams.

Design, build, and operate production-grade Kubernetes platforms; define SLOs/SLIs and CI/CD pipelines; implement observability; automate operations; ensure compliance and audit readiness; participate in on-call, incident response, and cross-functional leadership.

Design, implement, and operate Kubernetes-based platforms; improve reliability, scalability, monitoring, automation, and CI/CD. Support SLIs/SLOs, security/compliance, infrastructure as code, and participate in on-call rotations while collaborating with security and application teams to resolve platform issues.

Lead design, development, and deployment of AI/ML solutions for sustainability, ESG, and H&S. Hands-on agent and LLM/BERT development, architect enterprise-grade systems, manage end-to-end ML lifecycle (data strategy, MLOps, production), advise senior clients, mentor teams, and ensure responsible AI, governance, and scalability.

Design and implement enterprise multi-region cloud infrastructure across Azure and GCP, build and operate Kubernetes platforms (AKS/GKE), and lead CI/CD, GitOps, and IaC practices. Drive security and compliance (Zero Trust, SOC 2, ISO 27001), mentor engineering teams, and establish governance, cost optimization, and observability solutions.

The Senior Big Data Engineer will manage customer engagements, develop big data architectures, and guide clients in utilizing the Databricks platform effectively.

Lead client deployments of EXLdata.ai across AWS/Azure/GCP, build and optimize PySpark/SQL data pipelines (Databricks/Snowflake), configure cloud infra (Kubernetes, CI/CD, networking, IAM), integrate GenAI agents, and act as the technical lead for client enablement, operational reliability, and product feedback.

Join Speechify to lead data collection efforts for AI model training, optimizing cloud infrastructure and collaborating on dataset roadmaps for improving text-to-speech products.

Lead design and delivery of Salesforce Data Cloud customer-data solutions. Translate business requirements into scalable data models and integration designs, manage developer teams, ensure data quality/privacy, integrate with MCP and other MarTech for activation, troubleshoot integrations, mentor developers, and drive roadmap and governance alignment.

Lead design and delivery of Salesforce Data Cloud customer-data solutions. Translate business requirements into technical designs, define data models and ingestion pipelines, integrate with MCP and MarTech, manage a development team, ensure data quality/privacy, troubleshoot integrations, and support audience segmentation and journey orchestration.

Build and scale core platform systems for a global eSIM consumer product. Own end-to-end features, optimize API performance, caching, data access, observability, and event pipelines. Create internal tooling and AI-assisted engineering workflows to improve developer velocity, reliability, and performance across global markets.

Lead India contributor allocation end-to-end: match supply to demand, monitor real-time allocation metrics, build dashboards and SQL-based tooling, design scalable processes, manage an allocations team, and partner with recruiting, project leads, and ops leadership to meet throughput and hours targets.

As a Senior Site Reliability Engineer, you will enhance automation and efficiency, troubleshoot complex issues, and improve system reliability and monitoring.

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.

Design, build, and maintain cloud-native authentication, authorization, and identity services. Own components end-to-end, implement OAuth2 and secure access patterns, build RESTful backend APIs, troubleshoot distributed systems, participate in architecture and code reviews, and improve reliability, performance, and CI/CD-driven deployments.