Senior FullStack developer in .NET for cloud-native products at Ness Digital Engineering. Working in a dynamic agile team delivering secure and reliable solutions.
Responsibilities
Design, build and maintain backend services and APIs using .NET Core / ASP.NET Core.
Develop modern web UIs (React / Angular / TypeScript or similar) and integrate them with backend services.
Implement event-driven architectures using Kafka (preferably AWS MSK) for high-throughput, near real-time processing.
Develop and support AWS serverless solutions (e.g. Lambda, API Gateway, Step Functions, DynamoDB, S3).
Build and run workloads on AWS and GCP, including containerised services with Docker and Kubernetes.
Contribute to the design and implementation of scalable, secure and resilient cloud architectures.
Work with DevOps engineers to enhance CI/CD pipelines, automated testing and deployment processes, with Infrastructure as Code (IaC) understanding.
Model and optimise data across SQL and NoSQL stores.
Drive code quality: write clean, efficient, well-documented and reusable code; participate in code reviews and technical discussions.
Troubleshoot production issues and improve monitoring, logging and alerting across services.
Collaborate with the team and stakeholders to refine requirements and deliver, operate and maintain products on time and to a high standard.
Requirements
Strong hands-on commercial experience (5 to 10 years) with .NET Core / ASP.NET Core for backend development (ideally including .NET 6+).
Proven experience building solutions on AWS, ideally including serverless services (Lambda, API Gateway, DynamoDB, etc.).
Hands-on experience with Kafka (preferably AWS MSK) for messaging / stream processing.
Experience with Docker and Kubernetes for container orchestration.
Good understanding of DevOps concepts, with practical experience using Git and working with CI/CD tooling (GitHub Actions, Azure DevOps, GitLab CI or similar).
Experience with both SQL (e.g. SQL Server, PostgreSQL, MySQL) and NoSQL databases (e.g. DynamoDB, MongoDB).
Exposure to Big Data tools/platforms and data pipelines (streaming and/or batch) is strongly preferred.
Comfortable working in an agile environment (Scrum/Kanban).
Good communication skills, both oral and written, with a strong, collaborative mindset.
Ability to take ownership, solve complex problems and mentor more junior engineers where required.
Experience delivering systems on GCP
Knowledge of microservices and complex event-driven architectures.
Experience with Infrastructure as Code (CloudFormation, CDK, Terraform).
Knowledge/experience in media, entertainment or digital content domains.
Any experience with AI / ML, MCP (Model Context Protocol) and/or MLOps (model deployment pipelines, monitoring and lifecycle management) is highly desirable.
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