Top Tech Jobs & Startup Jobs in Delhi

Lead Salesforce development and architecture efforts, managing teams to deliver solutions while ensuring quality and adhering to best practices. Engage with stakeholders to translate needs into scalable Salesforce designs, focusing on integrations and automation.

Design and lead cloud-native enterprise architectures, migrate legacy middleware to microservices on OpenShift/Kubernetes, implement integration patterns, DevSecOps and observability, produce HLDs/LLDs, drive governance and mentor teams.

Lead architecture and modernization of enterprise applications into cloud-native platforms. Design secure, scalable container platforms using Spring Boot, Docker, Kubernetes/OpenShift, service mesh, CI/CD/DevSecOps, and observability. Drive migrations from Oracle middleware/ECM, produce HLD/LLD, define integration architecture, and provide technical leadership and stakeholder management.

The role involves developing and implementing ServiceNow solutions, particularly in the GRC and Legal modules, while ensuring adherence to software engineering principles and best practices.

Lead design and implementation of ServiceNow ITAM/ HAM/ SAM solutions, build integrations, configure platform components, perform integration testing, troubleshoot issues, ensure best practices, and collaborate with cross-functional teams for global delivery.

Design, develop, and implement ServiceNow ITAM (HAM/SAM) solutions and integrations. Configure and customize platform components, perform integration and component testing, troubleshoot issues, and ensure adherence to ServiceNow best practices while collaborating with cross-functional teams in a global delivery environment.

Design, develop, configure, and integrate ServiceNow solutions focused on IT Asset Management (HAM/SAM) and ITSM. Implement scripting, perform integration and component testing, align solutions to business needs and best practices, troubleshoot platform issues, and collaborate across global teams to ensure high-quality delivery.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

Lead ML architecture and solution design for NLP, computer vision, and generative AI projects. Define technical designs, review implementations, run POCs, guide developers, and ensure scalable, secure, and ethical deployments using cloud, MLOps, and model deployment pipelines.

Lead design and delivery of ML solutions across NLP, vision, and generative AI. Convert business needs into architecture and designs, guide developers, run POCs, ensure scalability, security, MLOps, and responsible AI best practices, and build/deploy AI agents and LLM-based systems.