Job description
Aspire Software is looking for an intermediate Software Developer to join our team in Lebanon.
Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.
By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.
Role Overview We are hiring an AI-native software engineer who treats large language models, copilots, and agentic workflows as core parts of their development environment, not optional add-ons.
You will design, build, and refactor production systems in .
NET/C#, while also contributing significantly to a mature Java-based distributed platform composed of multiple microservices and supporting data tooling.
You are not just a developer.
You are an architect, systems thinker, and automation builder who can operate across stacks and reduce complexity over time.
Responsibilities 1.
Architect and Build Scalable Systems (.
NET) Design and implement high-quality backend systems in .
NET and C#.
Build modular, testable, maintainable architectures.
Make sound trade-offs between performance, maintainability, and speed of delivery.
Refactor legacy systems intelligently (not cosmetically).
2. Contribute to a Distributed Java Platform Support and evolve a Java-based enterprise platform consisting of ~20 microservices.
Work with a Java UI framework and REST-based service architecture.
Maintain and enhance internal tooling for data mapping, validation, and automated query testing.
Contribute to an authorization/security service layer.
Interface with data generation pipelines built on Spark/Azure Databricks.
Operate comfortably in Linux environments and deployment automation workflows.
This portion of the role requires ownership mindset, production debugging capability, and comfort navigating distributed systems.
3. Leverage AI Across the SDLC Use LLMs and code-generation tools to: Draft and refactor production code Generate unit/integration tests Create migration scripts Perform static analysis and code reviews Produce technical documentation Build internal AI assistants for: Log analysis Support ticket triage Codebase navigation Technical debt discovery Continuously optimize development workflows using AI.
4. Own Architecture Decisions Design APIs (REST, event-driven, microservices where appropriate).
Work with cloud-native patterns (Azure preferred).
Integrate AI services into production systems.
Evaluate when to build vs.
buy vs. automate. Improve observability, resilience, and service boundaries over time.
Core Stack (.
NET) Strong experience with: .
NET C# ASP.
NET Web APIs Solid understanding of: Entity Framework / ORM patterns SQL and database design (MySQL/MariaDB experience preferred) Clean architecture principles Dependency injection Testing frameworks (xUnit, NUnit, etc.
) Java & Distributed Systems Professional experience with: Java (Spring ecosystem or similar preferred) Gradle or equivalent build tooling Experience working in microservices architectures.
Comfortable with: Linux command line environments Deployment automation (e.
g., Ansible or similar) XML/CSV processing Automated testing tools (Selenium/Testim or similar) Cloud & Data Azure experience preferred.
Familiarity with: Databricks or Spark-based data pipelines Python-based data workflows (integration-level understanding) CI/CD pipelines.
Infrastructure as Code familiarity.
Observability (logging, tracing, monitoring).
AI & Automation Hands-on experience with: LLM APIs Code copilots and AI IDE tooling Prompt engineering for engineering workflows · Experience building: AI-assisted tools Internal bots or automation agents Understanding of: Model limitations Cost-performance trade-offs Guardrails and reliability What We’re Looking For Technical Depth You can: Read a large, multi-service codebase and map it quickly.
Trace issues across services without getting lost.
Identify architectural rot fast.
Make systems simpler, not more complex.
This job post has been translated by AI and may contain minor differences or errors.
