Lead application discovery and migration to Azure, including assessment, planning, execution, and architecture design for target applications.
Lead end-to-end application discovery and assessment: • Create an inventory of applications, versions, middleware, dependencies, data volumes, and non-functional requirements (performance, SLAs). • Use and validate discovery tools (e.g., Azure Migrate and dependency mapping tools) to generate application and infrastructure dependency maps. • Perform compatibility and risk assessments: • Assess compatibility with target Azure services and identify feature gaps, configuration or runtime constraints, and third party dependencies. • Recommend migration approach per application (rehost/lift-and-shift, refactor, or retire). • Develop wave planning and migration sequencing: • Define waves by business priority, complexity, dependencies, and risk profile. • Plan pilot and validation waves, staggered cutovers, and parallel run strategies. • Produce wave schedules, resource plans, and cutover windows. • Own migration planning and runbooks: • Produce migration runbooks with detailed steps for data replication, cutover, validation, rollback, and post-cutover verification. • Define migration tooling and patterns (Azure Migrate, Database Migration Service, replication or backup/restore strategies). • Execute or lead migration execution (lift-and-shift focus): • Coordinate with infra, network, DBAs, app teams and operations to execute migrations with minimal downtime. • Validate migrated application behavior, connectivity, security posture, and performance. • Design greenfield target-state application architecture on Azure:
Similar Jobs
55 Minutes Ago
Easy Apply
Easy Apply
Cloud • Information Technology • Security • Software
The VP of Global Customer Success & Support will lead a global team to enhance customer relations, reduce churn, and utilize AI-driven strategies for operational efficiency and success. Responsibilities include managing technical support, refining customer engagement, and optimizing post-sale processes while ensuring exceptional customer experiences across global markets.
Top Skills:
AIAutomationData AnalysisMachine LearningSaaS
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
The Executive Assistant will manage calendars, coordinate travel, act as a point of contact, support projects, and maintain confidentiality.
Top Skills:
ExcelPowerPoint
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Lead development of AI-native data products and BI portfolio that power dashboards, AI agents, and automated workflows. Own product P&L, validate hypotheses via SQL/Python, define data models, ship prototypes, and coordinate across AI teams while managing BI execution and mentoring a direct report.
Top Skills:
Ai AgentsBi ToolsData ModelingPythonSQL
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.



