Top Tech Jobs & Startup Jobs in Delhi

Lead SAP SuccessFactors implementations and delivery teams, designing, configuring, integrating, testing, troubleshooting, and deploying scalable HR solutions. Work across Employee Central, Onboarding, Compensation, and Time Tracking, integrating SuccessFactors with SAP S/4HANA, SAP modules, and third-party systems. Provide solution architecture, mentor technical resources, and deliver enterprise HR transformation programs using Agile and Scrum methodologies.

Designs, builds, and maintains scalable data pipelines and ETL/ELT processes using Snowflake and Databricks. Collaborates with architects, analysts, and clients to deliver cloud data solutions; optimizes performance and cost; implements data quality monitoring; supports migrations and integrations; maintains documentation; provides technical guidance; and ensures data governance, security, and privacy compliance.

Lead governance and administration for the Microsoft Fabric environment. Define and enforce data governance, security, access controls, compliance, and workspace hygiene. Monitor Fabric capacity, jobs, and environment health while implementing proactive alerting. Automate security and maintenance tasks using APIs, scripts, and notebooks. Develop operational dashboards and compliance reports, and manage enterprise data governance across Microsoft Fabric and Azure.

Manage Microsoft Fabric governance, security, access controls, capacity, job monitoring, compliance, and workspace hygiene. Implement data policies across Fabric and Azure, automate administrative and security tasks with APIs, scripts, and notebooks, and create operational dashboards, alerts, and compliance reports. Requires enterprise-scale data governance experience and hands-on expertise with Fabric administration, OneLake, Purview, Power BI, and security controls.

Lead DevOps engineering as an individual contributor, designing multi-stage CI/CD pipelines, managing source-control repositories, and deploying containerized applications. Maintain and troubleshoot production Azure Kubernetes Service clusters, provision Azure infrastructure through infrastructure-as-code tools, and automate operational tasks using Python, shell, or PowerShell scripting. Apply current AI tools to DevOps workflows.

Design, develop, and support scalable low-code applications on the Appian platform. Translate client requirements into process models, SAIL interfaces, records, reports, rules, data stores, and integrations. Troubleshoot defects, perform root-cause analysis, document technical solutions, and ensure compliance with Appian best practices, quality standards, and delivery procedures.

Develop, maintain, and optimize native Android applications using Kotlin. Design responsive UIs, integrate features into existing codebases, troubleshoot performance and stability issues, conduct testing and debugging, follow architecture and coding best practices, and collaborate with designers, backend developers, QA teams, and stakeholders.

Design, develop, and support scalable Appian low-code applications, including SAIL interfaces, process models, records, reports, rules, and data stores. Translate client requirements into robust solutions, build REST/SOAP and JDBC integrations, troubleshoot defects, perform root-cause analysis, and maintain technical documentation, compliance, and quality standards.

Leads hands-on DevOps engineering as an individual contributor. Builds and manages multi-stage CI/CD pipelines, source-control repositories, Docker containers, and production Azure Kubernetes Service clusters. Provisions Azure infrastructure using Terraform, ARM Templates, or Bicep, and develops automation scripts with Python, shell scripting, or PowerShell. Uses AI productivity tools such as Microsoft Copilot, ChatGPT, and GitHub Copilot.

Designs and manages Azure DevOps CI/CD pipelines; integrates source control, testing, security, and artifact tools. Containerizes applications with Docker and deploys them to Kubernetes and AKS. Automates Azure infrastructure using Terraform and ARM templates, implements monitoring and alerting, troubleshoots Azure data services, and develops data pipelines for Azure Data Factory, Data Lake, and Databricks.