Scaling Engineering Capacity
The client needed additional development resources to support ongoing digital transformation initiatives without disrupting established delivery processes.
Maintaining Enterprise Standards
New team members needed to quickly adapt to existing Jira workflows, Agile ceremonies, coding standards, and architectural practices.
Supporting Diverse Technical Domains
Projects ranged from search optimization and cloud infrastructure to microservices performance tuning and enterprise data processing.
Ensuring Long-Term Knowledge Retention
The client required stable teams capable of accumulating domain knowledge and contributing strategically over time rather than operating as short-term contractors.
The client adopted a Dedicated Team / Offshore Development Center (ODC) model, allowing AMELA engineers to function as an extension of the internal engineering organization.
The team supported development, infrastructure, QA, and DevOps activities as one integrated unit, helping the client standardize release processes and improve ownership across teams.
The team contributed to:
- CI/CD pipeline automation for testing, validation, approval, and deployment
- Kubernetes-based container orchestration for consistent environments
- Infrastructure as Code using Ansible for repeatable environment setup
- DevSecOps practices with automated security scanning
- Real-time monitoring and alerting for deployment and system issues
Team Composition
- 1 Project Manager
- 1 Business Analyst / Product Owner
- 2 Golang Engineers
- 2 Node.js / GraphQL Engineers
- 2 QA Engineers (Automation & Manual)
- 2 DevOps Engineers
- Additional specialists added based on project demand
The teams participated directly in:
- Sprint planning
- Backlog refinement
- Development and testing
- Release management
- Infrastructure operations
- Performance optimization
Cloud Search & Indexing Optimization
Scaled production indexing pipelines on Azure to improve search coverage and query performance while maintaining system stability.
System Stability & Performance Engineering
Resolved critical bottlenecks in microservices environments through:
- Memory profiling
- Performance analysis
- Load testing
- Infrastructure tuning
The team utilized tools such as k6 and advanced monitoring solutions to improve enterprise-scale reliability.
Data Pipeline & ETL Integrity
Investigated and resolved downstream data consistency issues across enterprise systems, ensuring accurate relational data propagation and stronger ETL reliability.
