.Net Architect

Endava Limited; Sweden; On-site; SEK 700,000 - 900,000; Full time

Job summary

Endava Limited is seeking a hands-on .NET Solution Architect in Sweden. You will design and implement enterprise solutions using C#, .NET Core, and cloud services like Azure. The position requires strong technical leadership and collaboration with multiple stakeholders to deliver high-quality projects.

The ideal candidate has extensive experience in enterprise application development, cloud platforms, and a solid understanding of modern engineering practices. Join us to help drive innovative solutions in a collaborative environment.

Qualifications

• 10 to 15 years of overall IT experience in .NET development and solution architecture.
• Experience in designing and delivering enterprise-grade applications using C#, .NET Core, REST APIs, relational databases.
• Strong hands-on experience in architecture, design, development, code reviews, and troubleshooting.

Responsibilities

• Design and implement end-to-end enterprise solutions using C#, .NET Core, RESTful APIs.
• Understand and translate business requirements into technical solutions.
• Guide development teams, review code, and resolve technical challenges.

Skills

C#

.NET Core / .NET 6+

ASP.NET Core Web API

RESTful APIs

JSON

Cloud platforms (Azure, AWS)

DevOps practices

Agile/Scrum methodologies

Education

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology

Tools

Terraform

SonarQube

Git

Azure DevOps

Job description

Job Description

The candidate should be a hands-on .NET Solution Architect with strong experience in enterprise application design, Azure or AWS cloud platforms, REST APIs, databases, DevOps, and modern engineering practices. The candidate should be able to understand requirements, define solutions, present architecture, guide teams, and actively contribute technically when required. Exposure to AI-native engineering and Agentic AI development tools is expected, while deep LLM, RAG, or Generative AI implementation experience is optional.

Key Responsibilities

Design and implement end-to-end enterprise solutions using C#, .NET Core / .NET 6+, RESTful APIs, relational databases, and cloud-native services.

Understand business and functional requirements and translate them into scalable, secure, and maintainable technical solutions.

Define solution architecture, application architecture, integration patterns, coding standards, and best practices for development teams.

Create and present architecture documents, solution designs, technical approaches, and architecture diagrams to business and technical stakeholders.

Provide hands‑on technical leadership by guiding development teams, reviewing code, resolving technical challenges, and ensuring engineering quality.

Design and develop RESTful APIs and integrations with external systems, third‑party platforms, and CMS platforms such as Headless Umbraco.

Design data architecture using relational databases such as Azure SQL, PostgreSQL, SQL Server, or equivalent cloud‑managed database services.

Design and maintain cloud‑native solutions using Azure services such as Azure App Service, Azure Functions, API Management, Azure SQL, Azure Storage, Key Vault, Application Insights, Azure Service Bus, and Azure DevOps.

Demonstrate hands‑on experience in at least one cloud platform, preferably Azure. Good exposure to AWS or Azure is acceptable, provided the candidate has strong hands‑on experience in one of them.

Implement Infrastructure as Code using tools such as Terraform or equivalent IaC tools.

Define and support CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar platforms.

Ensure code quality, maintainability, and security using tools such as SonarQube, AppScan, or equivalent security and quality tools.

Support version control, branching strategies, pull request reviews, and release management using Git, GitHub, Azure Repos, or Bitbucket.

Conduct architecture reviews, performance reviews, security assessments, and technical risk evaluations.

Guide and mentor developers and junior architects on design principles, coding standards, cloud‑native development, and engineering best practices.

Collaborate closely with project managers, product owners, QA teams, DevOps teams, and business stakeholders to ensure timely and high‑quality delivery.

Promote AI‑native engineering practices and encourage the effective use of modern developer productivity tools, including Agentic AI development tools.

Qualifications

Required Technical Skills

Core Technologies

Strong hands‑on experience in:

• C#


• .NET Core / .NET 6+


• ASP.NET Core Web API


• RESTful APIs


• JSON


• Object‑oriented design and SOLID principles


• Design patterns and enterprise architecture patterns

Strong hands‑on experience in at least one cloud platform, preferably Azure.

Good exposure to either Azure or AWS is acceptable.

Preferred Azure experience includes:

AWS exposure is a plus, including services such as:

• AWS Lambda


• API Gateway


• RDS


• S3


• CloudFormation

Database Skills

Hands‑on experience with relational databases such as:

• Microsoft SQL Server


• Cloud‑managed relational databases

Should be able to design database schemas, optimize queries, review data models, and guide teams on database best practices.

DevOps and Engineering Practices

Experience with:

• Git-based version control


• Branching and release strategies


• Build and deployment automation


• Terraform or equivalent IaC tools


• SonarQube or equivalent code quality tools


• AppScan or equivalent security scanning tools

CMS and Integration

Experience with integration and customization of CMS platforms such as:

• Headless Umbraco


• Third‑party APIs


• External enterprise systems


• Authentication and authorization integrations

AI‑Native and Agentic AI Exposure

Good exposure to AI‑native software engineering practices and modern AI‑assisted development tools.

Experience or exposure to tools such as:

• Cursor


• ChatGPT‑based developer workflows


• Agentic AI coding assistants


• AI‑assisted code review, test generation, documentation, and refactoring tools

Experience with LLMs, RAG, or Generative AI solution implementation is not mandatory, but will be considered an added advantage.

Preferred Skills

Strong understanding of:

• Serverless computing


• Event‑driven architecture


• Scalable and resilient system design


• Cost‑optimized cloud architecture


• Observability, logging, monitoring, and performance tuning

Exposure to containerization is a plus:

• Docker


• AKS


• ECS / EKS

Cloud certifications are preferred but not mandatory:

• Microsoft Certified: Azure Solutions Architect Expert


• AWS Certified Solutions Architect – Associate / Professional

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.

10 to 15 years of overall IT experience, with strong experience in .NET‑based application development and solution architecture.

Proven experience in designing and delivering enterprise‑grade applications using C#, .NET Core / .NET 6+, REST APIs, relational databases, and cloud services.

Strong hands‑on experience in architecture, design, development, code reviews, troubleshooting, and technical guidance.

Experience working in Agile / Scrum delivery models.

Ability to lead technical design discussions, architecture governance sessions, and stakeholder presentations.

Experience guiding teams from requirement analysis through solution design, development, testing, deployment, and production support.

Soft Skills

Excellent communication and presentation skills.

Ability to explain complex technical solutions in simple business terms.

Hands‑on leadership mindset with the ability to guide, mentor, and support development teams.

Strong analytical and problem‑solving skills.

Ability to understand business needs and convert them into practical, scalable technical solutions.

Collaborative mindset with experience working across development, QA, DevOps, product, and business teams.

Continuous learning attitude with awareness of emerging technologies, especially cloud‑native engineering and AI‑native development practices.

Additional Information

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.