Software Engineer

Position Overview
We are seeking a Senior Full Stack Software Engineer with deep expertise in .NET and Angular to build scalable, cloud-native applications. This role requires strong architectural thinking, hands-on coding ability, and experience working in modern AI-assisted development environments.
The ideal candidate is comfortable leveraging AI coding tools to increase productivity, understands distributed system design (including caching strategies), and can operate effectively in AWS-based microservices architectures.

Core Responsibilities

• Design, develop, and maintain scalable full-stack applications using .NET and Angular.
• Architect and implement cloud-native microservices in AWS.
• Design and implement effective caching strategies to optimize performance and scalability.
• Leverage AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, code generation platforms) responsibly to improve code quality and delivery speed.
• Contribute to CI/CD pipelines, containerization, and infrastructure automation.
• Ensure application security, observability, reliability, and performance.
• Participate in architectural discussions and code reviews.

Technical Requirements
1. Front-End Development (Angular Ecosystem)
Angular (4+ years preferred)

• Advanced experience building SPAs with modern Angular (v15+ preferred).
• Strong understanding of component architecture, RxJS, change detection, and performance optimization.
• Experience with state management (NgRx, Akita, or similar).
• Strong TypeScript proficiency (generics, strict typing, modular architecture).
• Experience implementing authentication flows (OAuth2/OIDC).

Web Fundamentals

• Deep knowledge of HTML5, CSS3, Flexbox, Grid.
• Experience with modern CSS frameworks (Tailwind, Bootstrap).
• Responsive design best practices.
• Experience optimizing front-end performance (lazy loading, bundle optimization).

2. Back-End Development (.NET & Distributed Systems)
.NET / ASP.NET Core (5+ years)

• Expert-level C# proficiency.
• Experience building RESTful and/or gRPC services.
• Deep understanding of:
  • Dependency injection
  • Middleware pipelines
  • Async/await patterns
  • Clean Architecture / DDD principles
• Experience migrating or working with modern .NET (7/8+).

Microservices & Distributed Systems

• Experience designing microservices with:
  • Loose coupling
  • Bounded contexts
  • Resilience patterns (retry, circuit breaker, bulkhead)
• Inter-service communication (REST, gRPC, messaging).
• Experience with API gateways and service-to-service authentication.
• Understanding of eventual consistency and distributed data patterns.

3. Caching & Performance Engineering (Required)
Caching is a core requirement for this role.

• Strong understanding of caching strategies:
  • In-memory caching
  • Distributed caching
  • Cache-aside pattern
  • Write-through / write-behind
  • Cache invalidation strategies
• Hands-on experience with:
  • Redis (preferred)
  • AWS ElastiCache
• Ability to analyze performance bottlenecks and implement caching layers appropriately.
• Understanding of HTTP caching headers and CDN integration.
• Experience monitoring cache performance and hit ratios.

4. Data & Persistence
SQL Server / Relational Databases (5+ years)

• Advanced SQL query optimization.
• Indexing strategies and execution plan analysis.
• Data modeling and normalization.
• Experience with Entity Framework Core.

Bonus

• Exposure to NoSQL (DynamoDB, MongoDB).
• Understanding of data partitioning and scaling strategies.

5. Cloud & Infrastructure (AWS Preferred)
AWS (2+ years preferred)
Experience with several of the following:
EC2, S3, RDS, Lambda, API Gateway, ECS / Fargate, SQS / SNS, CloudWatch
Infrastructure as Code
Terraform or CloudFormation experience preferred. Understanding of environment promotion strategies.

6. DevOps & Modern Engineering Practices

• Strong Git proficiency (trunk-based or GitFlow).
• CI/CD experience (Atlassian Bamboo, Jenkins, AWS CodePipeline).
• Containerization with Docker.
• Understanding of: Blue/Green deployments, Canary releases, Feature flags

Observability

• Logging (Serilog, structured logging).
• Metrics and tracing.
• Monitoring distributed systems.

7. AI-Assisted Engineering & Modern Workflows (Required)

• Practical experience using AI coding assistants (e.g., GitHub Copilot, ChatGPT, enterprise AI tooling).
• Ability to:
  • Use AI for scaffolding, refactoring, test generation.
  • Critically review and validate AI-generated code.
  • Integrate AI into development workflows responsibly.
• Understanding of secure usage of AI tools (no sensitive data leakage).
• Interest in emerging AI integration patterns within enterprise applications.

8. Security & Compliance

• Experience implementing OAuth2, OpenID Connect, JWT.
• Knowledge of secure coding practices (OWASP Top 10).
• Experience with role-based and claims-based authorization.
• Understanding of secrets management and secure configuration.

9. Testing & Quality Engineering

• Strong unit testing experience (xUnit, NUnit, MSTest).
• Integration testing for APIs.
• Experience with mocking frameworks.
• Understanding of testability in distributed systems.

Soft Skills

• Clear written and verbal communication.
• Experience working in Agile/Scrum teams.
• Ownership mindset and ability to drive technical decisions.

Nice-to-Have (Differentiators)

• Exposure to AI/ML integration in business applications.
• Experience modernizing legacy .NET Framework systems to .NET Core.
• Experience working in regulated or compliance-heavy environments.