Standards & Engineering Capability
Security, operations, cloud, and delivery frameworks used as reference points for controllable, long-lived enterprise systems.
Discuss Security Requirements arrow_forwardSecurity & Controls Reference Frameworks
Standards commonly used to frame security, data, audit, and operating requirements for enterprise systems.
ISO/IEC 27001
Information Security Management
Used as a reference for access control, risk governance, data protection, and operational security management.
SOC 2
Service Controls
Referenced when framing controls for security, availability, processing integrity, confidentiality, and privacy.
GDPR / Data Privacy
Privacy-by-design
Guides collection, storage, processing, and deletion of personal data with minimization and control principles.
PCI DSS
Payment Data
Referenced for systems involving payment flows, tokenization, access control, and sensitive-data handling.
HIPAA / Health Data
Healthcare Data
Considered for healthcare-related systems requiring role-based access and auditability around sensitive records.
OWASP ASVS
Web Application Security
A practical review framework for authentication, sessions, APIs, input handling, and deployment configuration.
Cloud & Infrastructure Capability
Experience designing, deploying, and operating systems across common cloud platforms.
Amazon Web Services (AWS)
- check_circle Cloud application architecture
- check_circle CI/CD and infrastructure operations
- check_circle Networking, security, and IAM
- check_circle Cost and observability optimization
Google Cloud Platform
- check_circle Cloud infrastructure architecture
- check_circle Data and analytics workloads
- check_circle Cloud networking
- check_circle Monitored service operations
Microsoft Azure
- check_circle Azure solution architecture
- check_circle Cloud resource administration
- check_circle Enterprise application deployment
- check_circle Security and monitoring
Kubernetes & Container
- check_circle Application containerization
- check_circle Service orchestration
- check_circle Cluster administration
- check_circle CI/CD and observability
Delivery & Engineering Practice
Scrum, Agile, and technical practices that keep delivery visible, testable, and ready for handover.
Sprint governance
- verified Sprint planning
- verified Prioritized backlog
- verified Regular demo and acceptance
- verified Risk and dependency tracking
- verified Retrospectives for process improvement
Phased delivery
- verified Scope split by value
- verified Validation with real users
- verified Milestones with acceptance criteria
- verified Change-impact governance
- verified Post-launch hypercare
Technical practice
- verified Continuous Delivery & DevOps
- verified Test-Driven Development (TDD)
- verified Behavior-Driven Development (BDD)
- verified Domain-Driven Design (DDD)
- verified Microservices Architecture
Technology Capability
Technology groups selected according to operating context, data needs, security requirements, and scalability.
Frontend & UX
- • React / Vue / Angular
- • TypeScript
- • PWA and responsive UI
- • Design-system implementation
- • Frontend performance optimization
Backend & API
- • Node.js / PHP / Python / Java / Go
- • REST / GraphQL
- • Modular or microservice architecture
- • Authentication and authorization
- • Versioned API design
Data & Database
- • PostgreSQL / MySQL / MongoDB
- • Redis / Elasticsearch
- • Domain data modeling
- • ETL and real-time processing
- • Backup and recovery design
Applied AI
- • Controlled LLM integration
- • RAG and vector databases
- • Semantic search
- • Workflow automation
- • Answer-quality evaluation
DevOps & Infrastructure
- • Docker / Kubernetes
- • CI/CD pipelines
- • Infrastructure as Code
- • Monitoring and alerting
- • Operating-cost optimization
Security & Performance
- • Security architecture
- • Application security testing
- • Performance tuning
- • Load testing
- • Monitoring and incident response
Team Capability & Engineering Discipline
Project teams are organized around clear roles: architecture, development, QA, DevOps, business analysis, and operations.
Core Engineers
Core team
Engineering teams experienced in enterprise systems, digital products, APIs, data, and long-term operations.
Security & Controls
By design
Access control, audit logging, data protection, permission models, and incident response are considered from architecture.
Applied AI
Controlled
LLM, RAG, semantic search, and automation are integrated with clear data sources, permissions, and quality evaluation.
Solution Architecture
Long-term
Modular, microservice, or structured monolith designs are selected according to scope, scale, and operating capability.
Technical Leadership
By sprint
Tech leads guide solution direction, review engineering decisions, control quality, and mentor the project team.
Continuous Learning
Ongoing
Training budget, internal knowledge sharing, and R&D practice are maintained across the engineering team.
Continuous Learning Culture
Team capability is maintained through internal training, engineering reviews, technology research, and lessons learned from real projects.
Partner with Hoàng Khang Incotech
An enterprise-grade engineering team with disciplined security, cloud, AI, and controlled delivery practices.
Discuss a Project