Software Engineer Full Stack (.NET, React, AWS)

The platform manages complex business operations including work order management vendor coordination invoicing document processing client portals and third-party system integrations.

The project is undergoing modernization transitioning existing business workflows toward AWS cloud-native services serverless architecture microservices and modular frontend applications.

This is a backend-focused Full Stack role (approximately 70% backend and 30% frontend) requiring someone who can independently develop business-critical APIs work with complex integrations troubleshoot production issues and contribute to scalable reliable applications.

We value developers who understand how systems work beyond writing code can investigate unfamiliar technical problems and take ownership of features from development through deployment.

• Design develop and maintain scalable backend services using C# Web APIs and Entity Framework Core.
  

• Develop business workflows involving work orders vendor management invoicing document processing and operational data.
  

• Build and integrate RESTful APIs connecting internal applications external vendors and third-party platforms.
  

• Handle complex integration scenarios involving authentication data mapping validation error handling and asynchronous processing.
  

• Implement reliable processing mechanisms involving message queues background jobs retries timeouts and failure recovery.
  

• Write clean maintainable testable code following OOP SOLID principles and appropriate design patterns.
  

• Develop and maintain React-based applications for internal users clients and vendors.
  

• Build reusable components forms dashboards and responsive interfaces using React JavaScript/TypeScript HTML and CSS.
  

• Integrate frontend applications with backend APIs managing application state authentication and data flows.
  

• Troubleshoot frontend issues and collaborate on modular frontend development including micro-frontend patterns where applicable.
  

• Develop deploy and maintain application components within AWS environments.
  

• Work with AWS services such as Lambda API Gateway SQS S3 CloudWatch and IAM.
  

• Contribute to serverless and event-driven application workflows.
  

• Collaborate with DevOps engineers on application deployments environment configurations CI/CD pipelines and monitoring.
  

• Investigate application-level cloud issues using logs metrics and service configurations.
  

• Develop and optimize database operations using SQL Server PostgreSQL MySQL or similar relational databases.
  

• Work with complex SQL queries transactions indexing and Entity Framework query optimization.
  

• Identify application performance bottlenecks across APIs databases and external services.
  

• Troubleshoot production incidents involving failed integrations inconsistent data application errors and service communication.
  

• Apply appropriate security practices including JWT authentication OAuth role-based authorization and secure handling of sensitive information.
  

• Take ownership of assigned features from requirement understanding through implementation testing and production support.
  

• Participate in technical discussions code reviews debugging sessions and solution design.
  

• Work closely with engineering QA product teams and US-based client stakeholders.
  

• Communicate technical challenges blockers and proposed solutions clearly.
  

• Use AI-assisted development tools productively while independently validating code quality security and functionality.
  

• 24 years of professional software development experience primarily working Core and modern web applications.
  

• Strong hands-on experience with C# Core REST APIs Entity Framework Core and asynchronous programming.
  

• Practical experience with React including hooks component development state management and backend API integration.
  

• Hands-on AWS experience involving application development deployments integrations or production support. Exposure to Lambda API Gateway S3 SQS or CloudWatch is particularly relevant.
  

• Proven experience developing and integrating internal and third-party APIs including authentication data transformations and error handling.
  

• Strong understanding of OOP SOLID principles dependency injection design patterns and clean coding practices.
  

• Strong SQL and relational database skills including query optimization transactions and troubleshooting.
  

• Understanding of microservices asynchronous processing event-driven communication and integration reliability.
  

• Working knowledge of JWT OAuth authorization mechanisms and application security.
  

• Familiarity with Git Docker CI/CD unit testing integration testing and production debugging.
  

• Strong analytical and problem-solving skills with the ability to investigate issues independently and identify root causes.
  

• Good English communication skills including the ability to explain technical decisions and collaborate with international stakeholders.
  

• Experience modernizing enterprise or legacy applications into cloud-native architectures.
  

• Hands-on experience building AWS Lambda functions SQS-based workflows or serverless API integrations.
  

• Experience with distributed systems message queues webhooks idempotency and dead-letter queues.
  

• Familiarity with micro-frontends Redis MongoDB or Kubernetes.
  

• Experience integrating multiple enterprise applications or external vendor systems.
  

• Domain exposure to facility management field services ERP workflow automation invoicing or document management.
  

• Experience supporting US-based clients or production enterprise applications.
  

Beyond technical skills we are looking for someone who:

• Understands the problem before writing the solution rather than simply following instructions.
  

• Can independently troubleshoot issues across APIs databases AWS services and integrations.
  

• Demonstrates genuine ownership of delivered features and their production reliability.
  

• Understands technical trade-offs and can explain why a particular approach was chosen.
  

• Adapts quickly to unfamiliar systems technologies and business workflows.
  

• Uses AI coding assistants effectively without depending on them for fundamental engineering decisions.