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Engineering Competency Framework

Six Domains That Shape
a Complete Engineer

The Trainee Software Engineer Program is built on a structured competency framework spanning foundations, collaboration, application development, system design, cloud operations, and security. Each domain compounds on the last — from writing clean code to designing resilient distributed systems.

6 Domains 20+ Skill Groups 80+ Competencies
01

Foundations & Engineering Craft

Core computational principles, clean implementation, and development environments.

Computational Thinking & Problem Solving

  • Data Structures & Algorithms
  • Big-O Time/Space Complexity
  • Problem Decomposition
  • Concurrency & Multithreading Basics

Software Craftsmanship

  • Clean Code
  • SOLID Principles
  • Design Patterns
  • Refactoring
  • Technical Documentation

Developer Environment & Systems

  • Linux/Unix Fundamentals
  • Shell Scripting & CLI
  • Debugging & Profiling Tools
  • Package & Dependency Management

Networking & Web Protocols

  • HTTP/HTTPS
  • REST
  • WebSockets
  • gRPC
  • DNS & TCP/IP Basics
  • CORS
02

Collaboration & Engineering Lifecycle

Version control, team workflows, and release processes.

Source Control & Git

  • Branching Strategies (GitFlow, Trunk-Based)
  • Merges vs. Rebases
  • Conflict Resolution
  • Conventional Commits
  • Semantic Versioning

Team Workflows & Governance

  • Pull Requests
  • Code Review Etiquette
  • Repository Structure
  • Issue Tracking
  • Agile/Scrum Fundamentals
03

Application Development & Data Architecture

Modern client-side interfaces, backend systems, and storage engines.

Frontend Engineering

  • Modern HTML/CSS
  • Responsive Layouts
  • JavaScript & TypeScript
  • Web Components
  • State Management
  • Client Routing
  • API Integration & Data Fetching

Backend Engineering

  • Service Architecture
  • RESTful API Design & OpenAPI
  • GraphQL
  • Authentication & Session Handling
  • Input Validation
  • Structured Error Handling

Data Layer & Storage

  • Relational Databases (PostgreSQL, SQL)
  • Data Modeling & Normalization
  • Transactions (ACID) & Indexing
  • NoSQL Systems (Document, Key-Value)
  • In-Memory Caching (Redis)
04

System Design & Architecture

Scalable topology, distributed systems principles, and architectural records.

Distributed Systems Concepts

  • CAP Theorem
  • Monoliths vs. Microservices
  • API Gateways
  • Message Brokers & Event-Driven Architecture (Kafka, RabbitMQ)

Scalability & Resilience

  • Horizontal vs. Vertical Scaling
  • Load Balancing
  • Circuit Breakers
  • Rate Limiting
  • High Availability & Disaster Recovery

Architecture Modeling

  • System Context & Component Diagrams (C4 Model)
  • Sequence & Interaction Modeling
  • Architecture Decision Records (ADRs)
05

Cloud, DevOps & Site Reliability

Cloud platforms, automated pipelines, and operational health.

Cloud Services & Infrastructure

  • Cloud Computing Concepts (AWS/GCP/Azure)
  • Core Compute
  • Object Storage
  • IAM & Least Privilege
  • Infrastructure as Code (Terraform, AWS CDK)

CI/CD & Containerization

  • Docker & Containerization
  • Container Orchestration Basics (Kubernetes)
  • Automated CI/CD Pipelines (GitHub Actions)
  • Environment & Secrets Management

Observability & SRE

  • Structured Logging
  • Telemetry & Metrics
  • Distributed Tracing (OpenTelemetry)
  • Alerting
  • Incident Management
  • Production Readiness Checklists
06

Testing, Quality & Security

Verification strategies and end-to-end security posture.

Quality Assurance & Testing

  • Testing Pyramid (Unit, Integration, Component, End-to-End)
  • Test-Driven Development (TDD) Basics
  • Mocking & Test Doubles
  • Code Coverage

Application Security

  • OWASP Top 10
  • OWASP API Security
  • Authentication (OAuth 2.0, OIDC, JWT)
  • Role-Based Access Control (RBAC)

Secure Operations & Tooling

  • Secrets Management
  • Data Encryption (In-Transit & At-Rest)
  • Static/Dynamic Code Analysis (SAST/DAST)
  • Dependency & Supply-Chain Audits (SBOM)