Intermediate Software Developer

Role Overview

• 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).
• 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.
• 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.
• 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.
• Raise the Bar
• Set standards for AI-assisted development.
• Mentor other engineers in AI-native workflows.
• Push for measurable productivity gains.
• Eliminate manual processes wherever possible.

Requirements

• 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.)
• Professional experience with:
• Java (Spring ecosystem or similar preferred)
• Gradle or equivalent build tooling
• Comfortable with:
• Linux command line environments
• Deployment automation (e.g., Ansible or similar)
• XML/CSV processing
• Automated testing tools (Selenium/Testim or similar)
• 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).
• 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
• 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.
• You:
• Aggressively use AI but never blindly trust it.
• Know how to validate outputs.
• Treat AI as a junior developer that needs supervision.
• Nice to Have
• Experience modernizing legacy .NET Framework or Java systems.
• Experience improving reliability in distributed microservice environments.
• Exposure to Node.js / Express / modern frontend frameworks.
• Experience integrating AI into enterprise workflows.
• Background in regulated or compliance-heavy industries.

Tech Stack

• Ansible
• ASP.NET
• Azure
• Cloud
• Entity Framework
• Gradle
• Java
• JavaScript
• Linux
• MariaDB
• Microservices
• MySQL
• Node.js
• Python
• SDLC
• Selenium
• Spark
• Spring
• SQL
• .NET