Dotnet Developer
Norton Blake
Greater London, UK
14 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
ASP.NET
.NET Framework
Application Programming Interfaces (APIs)
Amazon Web Services
Application Integration Architecture
C Sharp (Programming Language)
Cloud Computing
Relational Databases
Software Debugging
Linux
DevOps
PostgreSQL
+17 more
Enterprise Messaging Systems
Microsoft Message Queuing
Commercial Software
Software Deployment
SQL Databases
.NET Core
Spring Cloud
Event Driven Architecture
Containerization
Gitlab-ci
Kubernetes
Apache Kafka
Restful APIs
Amazon Simple Queue Service (SQS)
Terraform
Jenkins
Microservices
Job description
This is a hands-on position combining strong C#/.NET development with extensive AWS, Kubernetes, infrastructure-as-code and DevOps expertise. You will work closely with cross-functional engineering teams to build reliable, scalable and secure microservices., * Design and develop cloud-native applications and microservices using C#, .NET Core and ASP.NET Core
- Deploy and manage containerised applications using Kubernetes
- Build and support cloud infrastructure across AWS
- Implement infrastructure as code using Terraform and GitOps practices
- Develop and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI
- Design integrations using REST APIs, Kafka, SQS, messaging platforms and queues
- Work with relational databases including SQL and PostgreSQL
- Troubleshoot and debug complex application, infrastructure and deployment issues
- Operate confidently within CLI-based Linux and Windows environments
- Collaborate with development, architecture, infrastructure and DevOps teams to ensure seamless application integration and deployment
Requirements
- 8+ years of commercial software engineering experience
- Strong hands-on development experience with C#, .NET Core and ASP.NET Core
- Extensive experience building and deploying applications within AWS
- Strong Kubernetes and containerisation experience
- Practical knowledge of GitOps principles and tooling
- Strong understanding of messaging, queues, APIs and event-driven architecture, including Kafka and AWS SQS
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