Top Tech Jobs & Startup Jobs

Coordinates creative projects from intake through delivery, maintaining schedules, task ownership, milestones, approvals, documentation, status reports, and communications. Supports digital, email, social, print, video, event, and sales collateral workstreams; coordinates vendors, localization, purchase orders, invoices, and budget records. Identifies blockers, escalates issues, supports workflow improvements, and helps ensure consistent creative project processes.

Design, implement, secure, and support Microsoft Azure infrastructure, identity, networking, Windows environments, hybrid cloud platforms, and disaster recovery solutions. Manage Entra ID, Active Directory, authentication, access governance, MFA, Conditional Access, SSO, VPNs, firewalls, WAF, and related technologies. Automate infrastructure using Bicep, Terraform, and Azure Arc; support migrations and troubleshoot complex enterprise issues while providing technical guidance to customers.

Design, develop, and deploy production-grade AI applications focused on agentic AI, multi-agent systems, RAG, and cloud solutions. Build Python and FastAPI backends, integrate LLMs and enterprise data, deploy applications with Docker and Kubernetes, and implement evaluation, observability, security, reliability, and responsible AI practices. Collaborate with product, engineering, and business teams to deliver scalable AI solutions.

Supports Microsoft Azure sales and business development through customer engagement, needs analysis, technical solution consulting, architecture recommendations, demonstrations, proof-of-concepts, proposals, and sales enablement. Translates business requirements into cloud, AI, application, and deployment solutions while collaborating with sales, engineering, and delivery teams. Tracks customer opportunities, addresses technical and security concerns, stays current on Microsoft technologies, and helps accelerate cloud adoption and revenue growth.

Design, develop, and deploy production-grade AI applications focused on agentic AI, multi-agent systems, RAG, LLM integration, and cloud platforms. Build Python backend services and APIs, integrate enterprise data and AI models, and deploy scalable applications using Docker, Kubernetes, and CI/CD. Evaluate and optimize model quality, latency, cost, security, and reliability while implementing observability, guardrails, and secure integrations. Collaborate with product, engineering, and business teams to deliver measurable outcomes.

Design, develop, deploy, and maintain production-grade AI applications focused on agentic AI, multi-agent workflows, RAG, and cloud platforms. Build Python backend services and APIs, integrate LLMs and enterprise data, deploy with Docker and Kubernetes, and implement evaluation, monitoring, security, reliability, and responsible AI practices. Collaborate with product, engineering, and business teams to deliver scalable AI solutions.

Reviews pricing requests, contracts, and business exceptions for compliance with organizational programs and policies. Advises deal owners on pricing, contract structures, documentation, approvals, and required modifications. Manages case records and coordinates exception reviews with program owners and leadership. Partners cross-functionally with sales, finance, operations, and other stakeholders while supporting program implementation and timely issue resolution.

Develop and maintain full-stack .NET applications using C#, C/C++, AngularJS, and related technologies. Responsibilities include designing features, debugging defects, conducting manual and automated testing, maintaining Azure DevOps pipelines and test infrastructure, supporting incident resolution, performing code reviews, and addressing security and compliance issues. The role is remote for candidates in Hyderabad, Bengaluru, or Noida, with occasional onsite travel for training or project stabilization.

Lead enterprise Power Platform delivery for mission-critical customers. Design and architect Canvas and model-driven Power Apps, implement complex business logic, optimize performance and scalability, and deliver Power Automate and Dataverse solutions. Own governance, ALM, reliability, security, and enterprise-grade operations while building stakeholder trust and navigating complex customer and partner environments.

Develop and support scalable data operations, ETL pipelines, SQL integrations, Azure services, Power Platform automations, and Power BI reporting. Responsibilities include Azure Data Factory pipeline development, Logic Apps and Power Automate workflows, Power BI modeling and publishing, Azure resource administration, governance, monitoring, troubleshooting, security controls, documentation, and performance optimization.