Hire Cloud Migration Engineers Who Move Production Without Breaking It
Migrations fail on the details. A forgotten dependency, a PL/SQL trigger nobody documented, a cutover window that slips past Monday morning.
Entrans gives you senior cloud migration engineers. They plan the waves, run the cutover, and hand you a stable environment on AWS, Azure, or Google Cloud.
Why Market Leaders Choose Entrans Cloud Migration Engineers
A migration is not one skill. It is discovery, database work, networking, security, and a cutover plan that survives contact with production. We staff for all of it, backed by our enterprise cloud solutions practice. Titles vary by company. Whether your req says cloud migration engineer, developer, or coder, the shortlist comes from the same vetted pool.
1. Engineers Who Have Run a Real Cutover
Anyone can draw a target architecture. Our engineers have sat through the 2 a.m. cutover call, rollback plan open in the next tab.
2. Discovery Before Anyone Touches Anything
We map dependencies, licensing, and data volumes first. That is how you find the batch job nobody remembers, before it takes down billing.
3. The Right R for Each Workload
Not everything should be rehosted. Our engineers decide per application whether to rehost, replatform, refactor, repurchase, retire, or retain. And they can defend the call.
4. Database Migration Is the Hard Part
Most timelines slip on data. Our engineers have moved Oracle to Aurora and PostgreSQL. They have also moved SQL Server to managed instances, and on-prem warehouses to Snowflake, Redshift, and BigQuery.
5. Someone Owns the Bill After Go-Live
A migration that doubles your run rate is not a win. Our engineers right-size instances, tag resources, and set up FinOps reporting so the savings are real.
Hire Cloud Migration Engineers From Entrans Who Are Certified and Experienced
We match you with certified specialists. Credentials include AWS Certified Solutions Architect, AWS Certified DevOps Engineer Professional, Azure Solutions Architect Expert, and Google Professional Cloud Architect. The work below is what they do once they are in your environment.
Discovery, Assessment, and Wave Planning
Inventory servers, applications, and data stores. Map dependencies, then group workloads into migration waves. Each wave gets a business case and a TCO model.
Infrastructure and Server Migration
Move VMware, Hyper-V, and bare metal workloads with AWS Application Migration Service, Azure Migrate, or Google Migrate. Landing zones, VPCs, and hybrid links get built first, not last.
Database Migration and Modernization
Convert schemas and stored procedures with tools like AWS SCT. Then replicate live with AWS DMS or Azure Database Migration Service. Historical load and ongoing change stay in sync until cutover.
Application Refactoring and Containers
Break a monolith into services, containerize it, and run it on EKS, AKS, or GKE. This is where a migration turns into application modernization, and our engineers rewrite the parts that only worked because of an old server.
Cutover, Rollback, and Zero Downtime
Write the runbook, rehearse it, and hold a rollback path the whole way. Blue green and parallel run patterns keep users on a working system while data catches up.
Post-Migration Optimization and FinOps
Right-size compute, move cold data to cheaper tiers, and buy the correct commitments. Tune the queries that got slower. Then hand over dashboards your team can actually read.
Schedule Interviews With Cloud Migration Engineers and Onboard Them Within 48 to 72 Hours
Cloud Migration Technology Expertise
Cloud Platforms and Landing Zones
Migration and Replication Tooling
Databases and Data Platforms
Automation, Containers, and Observability
Our Customer Success Stories
Modernizing a Leading EHR Platform From Legacy Oracle to AWS
Technical Stack: Amazon Aurora, Amazon RDS, AWS Schema Conversion Tool, AWS Database Migration Service, Amazon S3, Amazon Redshift
Industry: Healthcare and EHR Systems
An EHR software provider was stuck on a 50TB on-premise Oracle estate. HL7 message queues backed up and lab results reached physicians late. PL/SQL logic was welded to the Java and .NET application layer. Oracle licensing kept climbing.
Entrans moved the platform to Amazon Aurora and RDS under a HIPAA-compliant framework. AWS SCT translated the embedded PL/SQL procedures and triggers. AWS DMS streamed historical and live data until the final cutover. The team also decoupled the application from the database, so features could ship on their own.
The results: all Oracle licensing and on-premise hardware cost removed. Zero downtime across the 50TB cutover. Development cycles for population health analytics ran 60% faster.
Modernizing a Leading Insurance Carrier From On-Premise Oracle to the Cloud
Technical Stack: Snowflake on AWS, modular ELT pipelines, three-tier data lakehouse, Power BI, SOC 2 controls
Industry: Insurance Technology
A Virginia-based insurance carrier ran 1.2M active policies on a 45TB Oracle environment spread across 15 database instances. Nightly ETL took 14 hours. Underwriters made calls on yesterday's data and could not react to intra-day loss events.
Entrans rebuilt the estate as a Snowflake on AWS lakehouse. Modular ELT pipelines feed Policy, Claims, and Billing data into Raw, Staged, and Curated layers. Dedicated virtual warehouses let claims and finance run heavy queries at the same time. Micro-batching cut claims data latency from 24 hours to under 30 minutes.
The migration covered 4,500 tables and more than 12 billion rows. DBA maintenance work dropped 85% and nightly loads hit a 99.9% success rate. Multi-year actuarial queries ran 70% faster.
Designed for Enterprise Speed and Control
Staffing firms in this space quote two to three weeks to a shortlist. Migration dates do not move that easily, so we work faster and leave every decision with you.
1. Share Your Requirements
Tell us the source estate, the target platform, and the deadline. A VMware lift and shift, a mainframe to cloud migration, and a Snowflake build each need a different engineer.
2. Get Curated Profiles (Within 24 to 48 Hours)
You receive shortlisted cloud migration engineers with verified production migrations behind them. Each profile names the platforms and the tools they have run, not just certifications.
3. Evaluate and Interview
Test them on real problems. How would they sequence your waves? What do they do with a schema that will not convert cleanly, or a rollback at hour six?
4. Onboard and Kickoff (Within 48 to 72 Hours)
Access, tooling, and scope get settled in the first two days. Discovery usually starts inside the first week.
5. Continuous Support and Scaling
Scale up for a heavy wave, then scale down to a smaller run and optimize team. Many clients keep one engineer on FinOps and tuning after go-live.
Our Hiring Models
Dedicated Cloud Migration Engineers
Best for a multi-wave program that runs for quarters. Hire a dedicated cloud migration developer who owns discovery, cutover, and optimization from end to end.
Team Augmentation
Extend the team you already have. Drop engineers into your existing program alongside our dedicated AWS developers. Your architects stay on the decisions that matter.
Project-Based Engagement
Scoped work with a clear end date. Think a data center exit, one database conversion, or a single application wave with a fixed cutover window.
Industries Where Our Cloud Migration Engineers Deliver Impact
Our team works with global clients across healthcare, insurance, banking and financial services, manufacturing, and retail. Regulated estates need more than a lift and shift. Our engineers carry HIPAA, SOC 2, and NAIC requirements into the target design from day one.
Chief Executive Officer
Chief Executive Officer
Looking to Hire Cloud Migration Engineers Before Your Next Cutover Window?
Book a Free ConsultationFrequently Asked Questions
What does a cloud migration engineer do?
A cloud migration engineer moves applications, databases, and infrastructure from on-premise or another cloud into AWS, Azure, or Google Cloud. The job starts with discovery and dependency mapping. It then covers landing zone setup, data replication, cutover, and rollback planning. After go-live they tune performance and cost.
What are the 7 Rs of cloud migration?
The 7 Rs are the seven ways to treat a workload: retire, retain, rehost, replatform, refactor, repurchase, and relocate. Retire means switch it off, retain means leave it where it is, and rehost is the classic lift and shift. Replatform and refactor change how much you rebuild. Repurchase swaps to SaaS, and relocate moves a whole VMware estate without changing the servers. A good engineer picks the R per workload, not one R for the program.
How do I hire a tech consultant for cloud migration?
Start with the deadline and the source estate. Then screen on migrations the person has actually finished, not certifications alone. Ask for a wave plan, a rollback approach, and how they handled a schema conversion that failed. Decide whether you need an assessment, hands-on execution, or both. Those are often different people. Entrans sends curated profiles in 24 to 48 hours so you can compare against your own bar.
How much does it cost to hire cloud migration engineers?
In 2026, cloud migration engineers in the United States cost roughly $75 to $150 an hour. Offshore engineers in India run $28 to $55 an hour. Nearshore talent in Latin America or Eastern Europe runs $50 to $90. Rates go higher for database conversion specialists and for regulated estates under HIPAA, SOC 2, or PCI DSS.
Will our systems go down during the migration?
They should not, and a good plan assumes they must not. Continuous replication keeps the target in sync while the source stays live. The cutover becomes a short switch rather than a long outage. We ran a 50TB healthcare database migration to Amazon Aurora with zero downtime using this approach. Any real window gets agreed with you in advance and rehearsed before the live run.
