What are the 7 Rs of cloud migration strategy?

The 7 Rs (rehost, replatform, repurchase, refactor/re-architect, relocate, retain, retire) describe the range of strategies for handling a workload during cloud migration. Rehost (lift-and-shift) moves VMs without changes — fastest but least optimized. Replatform makes minor changes to use managed services (e.g., moving an app server to a managed container platform). Refactor redesigns the application to be cloud-native — highest value but most time-intensive. Cloud Migration Engineers evaluate each workload against these options.

What is the hardest part of a cloud migration?

Application dependency mapping. On-premises environments contain undocumented network dependencies, hardcoded IP addresses, legacy authentication configurations, and application-to-application connections that weren't tracked when the systems were built. Discovering these before attempting migration is essential — migrating an application without identifying its dependencies frequently results in outages when the app can no longer reach the services it depends on.

How do migration engineers handle databases?

Database migrations require more care than compute migrations because data correctness and minimal downtime are both critical. AWS DMS (Database Migration Service), Azure Database Migration Service, and Google Database Migration Service support replication-based migrations that keep the source and target synchronized until cutover. Schema conversion tools handle translation between different database engines (e.g., Oracle to PostgreSQL). Cutover typically involves a brief maintenance window to stop writes to source, confirm replication is current, and redirect applications to the new endpoint.

How does cloud migration work differ from day-to-day cloud operations?

Migration work is project-oriented with defined start and end dates, specific workloads to migrate, and clear success criteria. It requires discovery, planning, and cutover skills that differ from ongoing operational work. Cloud operations is continuous — monitoring, patching, capacity management, incident response. Some engineers specialize in migration and transition to operations roles once a major program completes; others treat migration as one specialization within a broader cloud engineering career.

Will AI automation replace cloud migration engineers?

Automated migration tools have reduced the manual effort for straightforward rehost scenarios, and AI is beginning to assist with dependency mapping and migration planning. However, the complex judgment work — assessing which workloads should be refactored versus rehosted, designing the landing zone, planning the cutover sequence, and managing the organizational coordination required for a live migration — still requires experienced engineers. The role is shifting toward higher-complexity work as simple migrations are automated.

Information Technology

Cloud Migration Engineer

Last updated May 12, 2026

At a glance

Salary (USD)$132K

$110K low$160K high

Read time: 8 min
Last updated: May 12, 2026

Salary methodology

Our proprietary model combines official data from sources such as the U.S. Bureau of Labor Statistics and industry compensation reports, along with publicly available job postings, posting details, and other market signals, to identify what we believe is a representative range for this role.

These figures are directional and provided for informational and educational purposes only. Actual compensation varies by employer, location, experience, certifications, and negotiation, and should not be relied upon for hiring, salary-negotiation, or financial- planning decisions.

Role-specific factorsDemand for migration engineers is highest during active cloud adoption programs, which are common at enterprises with large on-premises footprints in financial services, manufacturing, and government. Consulting and project-based roles command premiums over internal IT roles. Engineers with cloud architect credentials plus migration-specific certifications earn at the high end.

Cloud Migration Engineers plan and execute the technical work of moving on-premises systems, legacy applications, and data to cloud platforms. They assess migration complexity, choose migration strategies, execute cutovers, and validate that migrated workloads run correctly and cost-effectively in their new environment.

Role at a glance

Typical education: Bachelor's degree in CS, IS, or network engineering or equivalent hands-on experience
Typical experience: 4-8 years
Key certifications: AWS Certified Solutions Architect, AWS Migration Specialty, Azure Administrator (AZ-104), VMware VCP-DCV
Top employer types: Consulting firms, system integrators, cloud service providers, large enterprises
Growth outlook: Stable, long-term demand driven by multi-decade enterprise cloud adoption trends
AI impact (through 2030): Augmentation — AI-assisted discovery and planning tools accelerate early migration phases, allowing engineers to focus on more complex execution and modernization work.

Duties and responsibilities

Conduct application and infrastructure discovery: inventory on-premises workloads, map dependencies, and assess migration complexity and readiness
Define migration strategies per workload — rehost, replatform, refactor, or retire — based on business value, technical constraints, and risk
Build and validate landing zone infrastructure in target cloud environment: network, security baseline, identity integration, and monitoring
Execute VM lift-and-shift migrations using AWS Application Migration Service, Azure Migrate, or Google Migrate for Compute Engine
Migrate databases to cloud-managed services: execute schema conversion, data replication, cutover, and validation for RDS, Azure SQL, or Cloud SQL targets
Perform application testing in the cloud environment before cutover: functional, performance, and integration testing against cloud-hosted workloads
Plan and execute migration cutovers: coordinate maintenance windows, execute DNS and traffic changes, validate service health, and manage rollback criteria
Optimize migrated workloads post-cutover: resize compute, configure storage tiers, implement auto-scaling, and adjust backup policies
Decommission source infrastructure after successful migration validation and data confirmation
Document migrated environment in as-built records and transition operational responsibility to the infrastructure or operations team

Overview

Cloud Migration Engineers are the specialists who move organizations from on-premises data centers and legacy hosting to cloud platforms. It's specialized project work: each migration has a defined scope, a target cloud environment, constraints imposed by the source systems, and a business driver that creates urgency.

The typical migration starts with discovery. On-premises environments are often less well-documented than anyone admits, and the discovery phase exists to find what's actually there — virtual machines, physical servers, databases, network dependencies, service accounts, and application connections that may have never been formally mapped. Tools like AWS Application Discovery Service, Azure Migrate, or third-party tools such as Movere or CloudAmize automated much of the asset inventory, but the engineer still needs to interpret results, validate dependency maps, and identify the gaps that tooling misses.

Migration strategy selection follows discovery. Not every workload should be rehosted as-is. A legacy Windows application running on an overprovisioned VM might be a rehost candidate. A Java application running on a self-managed Tomcat server might be a replatform candidate for a managed container service. A batch processing system that could be replaced by a cloud-native managed service might be a retire-and-repurchase candidate. Making these assessments well requires both cloud architecture knowledge and business context about what the workload does and how critical it is.

Cutover execution is the high-stakes moment. Production migrations require precise coordination: stopping writes to source systems, confirming replication is current, switching DNS or connection strings, validating application health in the new environment, and either declaring success or executing rollback within the maintenance window. The engineer needs to have thought through every failure mode before the window opens.

Post-cutover optimization is part of the role. Migrated workloads are rarely perfectly sized on day one. Rightsizing compute, configuring appropriate storage tiers, implementing auto-scaling, and optimizing backup policies convert a successful migration into a cloud-optimized deployment.

Qualifications

Education:

Bachelor's degree in computer science, information systems, or network engineering
Equivalent hands-on experience is widely accepted — migration engineering is skill-heavy and credential-light relative to academic background

Experience benchmarks:

4–8 years in IT infrastructure or cloud engineering roles
Direct experience executing workload migrations in production, not just lab environments
Linux and Windows server administration background is strongly advantageous

Cloud platform skills:

AWS: Application Migration Service (MGN), Database Migration Service (DMS), Schema Conversion Tool, AWS Migration Hub, Application Discovery Service
Azure: Azure Migrate, Azure Database Migration Service, Azure Site Recovery for migrations
GCP: Migrate for Compute Engine, Database Migration Service, Cloud Migrate
Landing zone provisioning: Terraform or equivalent for cloud environment preparation

Migration-specific skills:

Dependency mapping: running and interpreting discovery tools
Database migration: replication setup, schema conversion, cutover sequencing, validation
Network cutover: DNS TTL management, BGP route advertisement, load balancer reconfiguration
VMware familiarity: most on-premises source environments run VMware, and understanding vSphere/vCenter is useful

Project skills:

Cutover planning: T-minus checklists, rollback decision criteria, communication plans
Risk assessment: identifying migration risks and proposing mitigations before cutover
Stakeholder communication: explaining migration timelines and constraints to non-technical business stakeholders

Certifications valued:

AWS Certified Solutions Architect Associate or Professional
AWS Migration Specialty certification
Microsoft Azure Administrator (AZ-104)
VMware VCP-DCV for VMware migration source expertise

Career outlook

Cloud migration remains active despite being a multi-decade trend. Enterprises with large on-premises footprints — manufacturing, government, legacy financial institutions, healthcare systems — are still mid-migration. Global cloud adoption surveys consistently show substantial workloads remaining on-premises that are planned for cloud migration within 3–5 years.

The complexity of remaining migration work has increased. Early cloud migrations moved simple web applications and development environments. Current migration programs address legacy enterprise applications — ERP systems, mainframes, heavily customized clinical systems, and manufacturing execution systems — that present migration complexity orders of magnitude beyond the early work. These complex migrations keep the demand for experienced migration engineers high.

Consulting and system integrator firms employ a large fraction of cloud migration engineers. AWS Professional Services, Microsoft FastTrack, Accenture, Deloitte, and dozens of regional cloud partners maintain migration practices. These roles offer exposure to diverse customer environments that accelerates career development faster than most internal IT migration programs.

The migration-to-modernization evolution is creating scope expansion. Organizations that have completed initial lift-and-shift migrations increasingly want to modernize — containerizing applications, adopting managed services, reducing operational overhead. Migration engineers who develop cloud modernization skills beyond basic rehosting have broader scope and higher compensation potential.

AI tooling is affecting the discovery and planning phases. AI-assisted dependency mapping and migration planning tools can accelerate the early phases of migration programs. Engineers who use these tools effectively complete discovery faster, which extends their capacity for more complex planning and execution work.

Career paths from cloud migration engineering run toward Cloud Architect, Platform Engineering, or Cloud Consulting leadership. Experienced migration architects at major consulting firms earn $180K–$250K+.

Sample cover letter

Dear Hiring Manager,

I'm applying for the Cloud Migration Engineer position at [Company]. I've spent four years at [Current Employer] executing cloud migrations for enterprise clients, primarily moving VMware-based on-premises environments to AWS and Azure. Over that period I've been the technical lead on 11 completed migration projects ranging from 50 to 800 virtual machines.

The most technically demanding project was a healthcare client with 340 VMs running on-premises, including an EMR system with custom integrations to pharmacy, lab, and billing platforms that weren't documented in their CMDB. I ran AWS Application Discovery Service to generate an initial inventory, then spent two weeks with their network team validating traffic flows against the discovery data to find the integrations the automated tool missed. We found six application-to-application connections that would have caused outages if we'd migrated the source applications without understanding they were dependencies of systems staying on-premises longer.

On the database side, I led the Oracle-to-PostgreSQL migration for three of this client's non-EMR databases using AWS Schema Conversion Tool and DMS. The schema conversion required manual remediation of about 40 stored procedures that SCT flagged as requiring attention. I worked through those with their DBA, tested application behavior against the converted schema in a staging environment, and executed the cutovers in 4-hour maintenance windows with zero data loss.

I'm looking to join a team with more enterprise-scale migration programs. The complexity of large, heavily integrated legacy environments is where I've developed the most specialized capability.

[Your Name]

Frequently asked questions

What are the 7 Rs of cloud migration strategy?: The 7 Rs (rehost, replatform, repurchase, refactor/re-architect, relocate, retain, retire) describe the range of strategies for handling a workload during cloud migration. Rehost (lift-and-shift) moves VMs without changes — fastest but least optimized. Replatform makes minor changes to use managed services (e.g., moving an app server to a managed container platform). Refactor redesigns the application to be cloud-native — highest value but most time-intensive. Cloud Migration Engineers evaluate each workload against these options.
What is the hardest part of a cloud migration?: Application dependency mapping. On-premises environments contain undocumented network dependencies, hardcoded IP addresses, legacy authentication configurations, and application-to-application connections that weren't tracked when the systems were built. Discovering these before attempting migration is essential — migrating an application without identifying its dependencies frequently results in outages when the app can no longer reach the services it depends on.
How do migration engineers handle databases?: Database migrations require more care than compute migrations because data correctness and minimal downtime are both critical. AWS DMS (Database Migration Service), Azure Database Migration Service, and Google Database Migration Service support replication-based migrations that keep the source and target synchronized until cutover. Schema conversion tools handle translation between different database engines (e.g., Oracle to PostgreSQL). Cutover typically involves a brief maintenance window to stop writes to source, confirm replication is current, and redirect applications to the new endpoint.
How does cloud migration work differ from day-to-day cloud operations?: Migration work is project-oriented with defined start and end dates, specific workloads to migrate, and clear success criteria. It requires discovery, planning, and cutover skills that differ from ongoing operational work. Cloud operations is continuous — monitoring, patching, capacity management, incident response. Some engineers specialize in migration and transition to operations roles once a major program completes; others treat migration as one specialization within a broader cloud engineering career.
Will AI automation replace cloud migration engineers?: Automated migration tools have reduced the manual effort for straightforward rehost scenarios, and AI is beginning to assist with dependency mapping and migration planning. However, the complex judgment work — assessing which workloads should be refactored versus rehosted, designing the landing zone, planning the cutover sequence, and managing the organizational coordination required for a live migration — still requires experienced engineers. The role is shifting toward higher-complexity work as simple migrations are automated.

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