- Design, develop, and maintain scalable full stack applications using C#, ASP.NET Core, and related .NET technologies.

- Build and expose RESTful APIs and microservices following clean architecture and SOLID principles.

- Develop rich, responsive frontend interfaces using Angular, React, or Blazor, depending on project requirements.

- Architect and manage relational data models using SQL Server, PostgreSQL, or other RDBMS platforms.

- Integrate third-party services, internal APIs, and identity/auth systems (e., OAuth 2.0, Azure AD).

- Contribute to cloud-native application development and deployment on Azure (experience with AWS or GCP also valued).

- Participate in code reviews, architectural discussions, and sprint planning sessions.

- Debug and resolve complex application issues, delivering long-term, maintainable solutions.

- Collaborate with product managers, designers, and QA engineers to translate requirements into working software.

- Contribute to and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tooling.

- Uphold and help evolve coding standards, best practices, and technical documentation.

Required - Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.

- 7+ years of professional software development experience with a full stack focus.

- Deep expertise in C# and .NET (ASP.NET Core, .NET 6/7/8), including RESTful API design and microservices.

- Solid experience with relational databases (SQL Server, PostgreSQL, or Oracle) including query optimization and schema design.

- 3+ years of Python development experience, particularly for data processing, scripting, or pipeline automation.

- Hands-on experience with cloud platforms (Azure preferred; AWS or GCP acceptable) including managed data and compute services.

- Experience with Git-based version control and modern CI/CD practices.

- Strong understanding of software design principles, system integration patterns, and application security.

- Excellent problem-solving, communication, and cross-functional collaboration skills.

Preferred :

- Experience with Apache Spark / PySpark for large-scale data processing.

- Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.

- Exposure to data lake or lakehouse architectures (Delta Lake, Apache Iceberg, or similar).

- Experience with event-driven architectures using Kafka, Azure Service Bus, or similar messaging platforms.

- Familiarity with containerisation (Docker) and orchestration (Kubernetes / AKS / EKS).

- Exposure to data governance, cataloguing, and lineage tooling (e., Microsoft Purview, Apache Atlas).

- Experience with test automation frameworks (xUnit, NUnit, pytest, Cypress, or Playwright).

- Demonstrated ability to mentor junior engineers and contribute to team knowledge sharing.

- Experience with enterprise or financial systems involving complex business logic and regulatory requirements.

- Familiarity with Entity Framework Core, Dapper, or similar ORM / data access patterns.

About Client :

Our client is a product engineering partner that works closely with startups and enterprises to turn ideas into scalable software products-owning the journey from product discovery to launch and growth