Dotnet Developer

Skills - Containers like Docker , Azure is required
Design, and  deliver highly scalable, fault-tolerant services and features across our microservices platform.
Take end-to-end technical ownership — from requirements through deployment, monitoring, and production support.
Lead technical design discussions and contribute meaningfully to architecture decisions, technology choices, and engineering standards.
Proactively identify and address technical debt — refactor and improve maintainability, performance, and reliability of the codebase.
Troubleshoot and resolve complex production issues with urgency and structured problem-solving.
Collaborate with Product, QA, and stakeholders to clarify requirements, surface risks early, and drive solutions to completion with minimal supervision.
Champion engineering best practices — testing, CI/CD, security, observability, and documentation.
Leverage AI developer tools (e.g., Git Hub Copilot, Claude, Cursor) effectively  to accelerate development and improve engineering output.
Perform other duties as assigned.

Required Qualifications  7+ years of professional software engineering experience in a multi-team, production environment.
.NET Framework / .NET Core / C# – expert-level experience designing and building APIs, microservices, and back-end systems; strong grasp of design patterns and SOLID principles.
React – Experience building scalable, maintainable front-end applications; strong understanding of state management, performance optimization, and component architecture.
Good grasp of JVM-based language fundamentals (Java or Kotlin); able to read, reason about, and contribute to codebases beyond the primary stack when the need arises.
Microsoft Azure – solid working knowledge of Azure services with hands‑on experience across one or more of the following:
Azure Container Apps (ACA), App Services (Web Apps), Azure Service Bus, Managed PostgreSQL, Key Vault, Application Gateway, Virtual Networks (VNet) & Subnets, Private Endpoints, and Private DNS Zones; experience deploying and operating production workloads in Azure.
Databases (SQL Server & PostgreSQL) – expert-level experience with relational database design, complex query optimization, indexing strategies, and performance tuning.
RESTful API design – proven ability to design, build, version, and secure APIs ong understanding of microservices architecture, distributed systems, and integration patterns.
Containers (Docker) – strong hands‑on experience; comfortable with containerized application design, networking, and deployment.

Experience with CI/CD pipelines (Azure Dev Ops, Git Hub Actions, or equivalent).
Solid understanding of Agile / Scrum practices and the full software development lifecycle.
Demonstrated and effective use of AI-assisted development tools as part of everyday engineering workflow.