Overview
Technology migration means moving from one technology stack, framework, or platform to another—for example, migrating from AngularJS to React, Java 8 to Java 17, or on-premise infrastructure to cloud. Unlike full legacy rebuilds, technology migrations often involve modernizing within the same domain (e.g., frontend to frontend, backend to backend) while maintaining business functionality.
Technology migrations are typically driven by: framework/library deprecation, performance improvements, developer experience enhancements, security updates, or team preference for modern tools. They're less risky than full system rebuilds but still require careful planning, migration expertise, and the right team composition.
For hiring, technology migrations require engineers who understand both the old and new technology, have experience with migration tooling and strategies, and can execute incremental migrations without disrupting production. The engineers who excel at migrations are often different from those who excel at greenfield development—they need patience, attention to detail, and migration-specific skills.
Common Technology Migration Scenarios
Frontend Framework Migrations
Examples:
- AngularJS → Angular 2+
- AngularJS → React
- jQuery → React/Vue
- Backbone.js → Modern framework
- Legacy CSS → CSS-in-JS or Tailwind
Team Needs:
- Expertise in both old and new framework
- Migration tooling (codemods, automated refactoring)
- Understanding of component architecture
- Testing strategies for migration
Challenges:
- Maintaining feature parity
- Gradual migration path
- Team retraining
- Performance differences
Backend Language/Framework Migrations
Examples:
- Python 2 → Python 3
- Java 8 → Java 17+
- .NET Framework → .NET Core
- Ruby on Rails version upgrades
- PHP 5 → PHP 8
Team Needs:
- Deep knowledge of both versions
- Understanding of breaking changes
- Migration tooling and scripts
- Testing and validation
Challenges:
- Breaking changes
- Dependency updates
- Performance regressions
- Team adaptation
Infrastructure Migrations
Examples:
- On-premise → Cloud (AWS, GCP, Azure)
- VM-based → Container-based (Docker, Kubernetes)
- Monolithic deployment → Microservices
- Data center → Cloud
Team Needs:
- Cloud platform expertise
- Infrastructure as code
- DevOps/CI/CD experience
- Migration tooling
Challenges:
- Data migration
- Network and security
- Cost optimization
- Zero-downtime migration
Database Migrations
Examples:
- MySQL → PostgreSQL
- Oracle → PostgreSQL
- MongoDB → DocumentDB
- SQL Server → Azure SQL
Team Needs:
- Database expertise
- Migration tooling
- Data integrity knowledge
- Performance optimization
Challenges:
- Data migration without downtime
- Query compatibility
- Performance tuning
- Backup and recovery
Team Composition for Technology Migrations
Core Team Structure
1. Migration Lead (1)
- Plans migration strategy
- Coordinates migration execution
- Makes technology decisions
- Manages timeline and risks
Skills Needed:
- Migration project experience
- Strong in both old and new tech
- Project management
- Communication
2. Senior Engineers - New Tech (2-3)
- Experts in target technology
- Build new implementation
- Set standards and patterns
- Mentor team on new tech
Skills Needed:
- Deep expertise in new technology
- Can teach and mentor
- Strong coding skills
- Best practices knowledge
3. Senior Engineers - Old Tech (1-2)
- Understand legacy system deeply
- Can explain old patterns
- Help with migration planning
- Support during transition
Skills Needed:
- Expertise in old technology
- Can read and explain legacy code
- Patience with old systems
- Communication skills
4. Migration Engineers (2-4)
- Execute migration day-to-day
- Work with both old and new
- Write migration scripts/tooling
- Test and validate
Skills Needed:
- Both old and new tech knowledge
- Migration tooling experience
- Attention to detail
- Testing skills
Optional Roles
QA/Testing:
- Test migration thoroughly
- Ensure feature parity
- Regression testing
- Performance validation
DevOps/SRE:
- Infrastructure for new tech
- Deployment pipelines
- Migration tooling
- Monitoring
Migration Strategies
Strategy 1: Big Bang (Rarely Recommended)
Approach: Migrate everything at once
Pros:
- Clean break
- No dual-system complexity
- Faster (if it works)
Cons:
- High risk
- No rollback plan
- All-or-nothing
- Stressful
When to Use:
- Small, isolated systems
- Low business impact
- Can't run both systems
- Team is very confident
Strategy 2: Strangler Fig (Recommended)
Approach: Gradually replace parts
Pros:
- Low risk
- Incremental progress
- Can rollback pieces
- Learn as you go
Cons:
- Longer timeline
- More complex (two systems)
- Requires coordination
How It Works:
- Identify migration units (components, modules, services)
- Build new version of one unit
- Route traffic gradually (10% → 50% → 100%)
- Decommission old version
- Repeat for next unit
Strategy 3: Parallel Run
Approach: Run both versions, compare outputs
Pros:
- Validates correctness
- Low risk
- Can compare performance
- Gradual cutover
Cons:
- Expensive (run both)
- Complex data sync
- Longer timeline
When to Use:
- Critical systems
- Need high confidence
- Can afford dual operation
Strategy 4: Feature Flag Migration
Approach: Use feature flags to toggle between old and new
Pros:
- Easy rollback
- Gradual rollout
- A/B testing possible
- Low risk
Cons:
- Requires feature flag infrastructure
- More code complexity
- Need to maintain both paths
When to Use:
- Have feature flag system
- Want gradual rollout
- Need easy rollback
Hiring Strategy
Key Skills to Look For
1. Migration Experience
- Has done technology migrations before
- Understands migration challenges
- Knows common pitfalls
- Can estimate effort
2. Dual Technology Expertise
- Strong in old technology
- Strong in new technology
- Can bridge the gap
- Understands differences
3. Migration Tooling
- Experience with codemods
- Automated refactoring tools
- Migration scripts
- Testing migration tools
4. Incremental Thinking
- Prefers gradual migration
- Understands strangler fig pattern
- Can plan incremental steps
- Risk-aware
5. Communication
- Explains migration approach
- Documents decisions
- Coordinates with team
- Manages expectations
Red Flags
❌ Only new tech experience - May not understand migration challenges
❌ Wants big bang migration - Doesn't understand incremental approach
❌ No migration experience - May underestimate complexity
❌ Can't work with old code - Will struggle with legacy
❌ Unrealistic timelines - Doesn't understand migration time
Where to Find Candidates
1. Companies That Have Migrated
- Look for engineers who worked on migrations
- They understand the challenges
- Have real experience
2. Open Source Contributors
- Many contribute to migration tools
- Understand migration patterns
- Often available for consulting/hiring
3. Framework Communities
- Engineers active in framework communities
- Often help others migrate
- Understand both old and new
4. Internal Team
- Current engineers know the system
- Can learn new tech
- Understand business context
Migration Tooling and Automation
Types of Migration Tooling
1. Codemods
- Automated code transformations
- Framework-specific (e.g., react-codemod)
- Can handle 60-80% of migration
- Requires manual review
2. AST Transformers
- Parse and transform code
- More powerful than codemods
- Custom transformations
- Requires expertise
3. Migration Scripts
- Custom scripts for data/configuration
- Database migrations
- Infrastructure changes
- Deployment automation
4. Testing Tools
- Automated comparison testing
- Feature parity validation
- Performance benchmarking
- Regression testing
Building vs. Buying Tooling
Buy/Use Existing:
- Framework migrations often have tools
- Open source migration tools
- Lower cost, proven
Build Custom:
- Unique migration needs
- No existing tools
- Higher cost, tailored
Recommendation: Use existing tools when possible, build custom only when needed.
Budget Planning
Cost Components
1. Engineering Salaries
- Migration Lead: $160-220K
- Senior Engineers (new tech): $150-200K each
- Senior Engineers (old tech): $140-180K each
- Migration Engineers: $120-160K each
- Total: $600K-1.2M annually
2. Migration Tooling
- Existing tools: $0-20K (licenses if needed)
- Custom tooling: $50K-150K (development)
- Testing tools: $10K-50K
3. Infrastructure
- Running both systems: $20K-100K/year
- New infrastructure: $30K-150K/year
4. Timeline
- Small migrations: 3-6 months
- Medium migrations: 6-12 months
- Large migrations: 12-18 months
Cost Optimization
- Incremental migration - Spread cost over time
- Reuse existing infrastructure - Where possible
- Internal team - Lower cost, know the system
- Open source tooling - Use existing tools
Common Pitfalls
1. Underestimating Migration Complexity
Problem: Migrations are more complex than they appear.
Solution:
- Start with small pilot
- Add 20-30% buffer to estimates
- Plan for unknowns
- Use incremental approach
2. Feature Parity Assumptions
Problem: Assuming new version has exact same features.
Solution:
- Audit what old version actually does
- Test feature parity thoroughly
- Document differences
- Plan for feature gaps
3. Team Retraining Gaps
Problem: Team doesn't know new technology well.
Solution:
- Training before migration starts
- Pair programming with experts
- Code reviews and mentoring
- Gradual learning curve
4. Performance Regressions
Problem: New technology performs worse than old.
Solution:
- Performance testing before migration
- Benchmark both versions
- Optimize new version
- Have rollback plan
5. Dependency Hell
Problem: Updating dependencies breaks things.
Solution:
- Update dependencies incrementally
- Test thoroughly after each update
- Understand breaking changes
- Have rollback plan
6. Timeline Pressure
Problem: Unrealistic deadlines lead to shortcuts.
Solution:
- Set realistic expectations
- Incremental approach reduces risk
- Better to do it right than fast
- Regular progress updates
Recruiter's Cheat Sheet
Key Interview Questions
"Tell me about a technology migration you've done. What was your approach?"
- Look for: Incremental approach, migration experience, specific examples
- Red flags: Big bang approach, no experience, vague answers
"How would you migrate [specific old tech] to [specific new tech]?"
- Look for: Migration strategy, tooling knowledge, risk awareness
- Red flags: No strategy, unrealistic timeline, underestimates complexity
"How do you ensure nothing breaks during migration?"
- Look for: Testing strategy, gradual rollout, rollback plan
- Red flags: No testing plan, no rollback, assumes perfection
Salary Expectations
Migration Expertise Premium:
- 10-20% above standard senior engineer rates
- Migration experience is valuable
- Dual tech knowledge commands premium
Typical Ranges (US, 2026):
- Migration Lead: $160-220K
- Senior Engineer (migration): $140-200K
- Migration Engineer: $120-160K
Timeline Reality
| Migration Type | Typical Timeline | Notes |
|---|---|---|
| Framework (small) | 3-6 months | Single app, well-understood |
| Framework (medium) | 6-12 months | Multiple apps |
| Language upgrade | 6-12 months | Depends on breaking changes |
| Infrastructure | 12-18 months | Complex, phased |
Factors Affecting Timeline:
- System size and complexity
- Team size and experience
- Migration strategy (incremental vs. big bang)
- Breaking changes in new tech
- Testing and validation requirements
Success Factors
1. Strong Migration Leadership
- Clear migration strategy
- Makes good technology decisions
- Manages timeline and risks
- Communicates effectively
2. Incremental Approach
- Strangler fig or feature flags
- Low risk, learn as you go
- Can adjust based on learnings
- Maintains business continuity
3. Team Composition
- Mix of old and new tech expertise
- Migration experience
- Strong communication
- Attention to detail
4. Migration Tooling
- Automated where possible
- Reduces manual work
- Consistent transformations
- Testing and validation
5. Testing and Validation
- Comprehensive testing strategy
- Feature parity validation
- Performance testing
- Rollback procedures
Timeline: Typical Technology Migration
Months 1-2: Planning and Setup
- Understand current system
- Choose migration strategy
- Set up migration tooling
- Train team on new tech
Months 3-6: Pilot Migration
- Migrate small, low-risk component
- Validate approach
- Learn and adjust
- Build confidence
Months 7-12: Incremental Migration
- Migrate components incrementally
- Route traffic gradually
- Decommission old versions
- Monitor and optimize
Months 13-18: Completion
- Migrate remaining components
- Remove old technology
- Performance optimization
- Documentation and handoff