Role : AI-Enabled .NET Software Engineer (.NET, Azure, DevOps)
Skills: AI-Enabled, NET, Azure, DevOps, CI/CD and Terraform
Location : Spain (Remote)
Type : Permanent
Language requirement : German and English
We are at Coforge hiring for AI-Enabled .NET Software Engineer with AI-Enabled, NET, Azure, DevOps, CI/CD and Terraform
Job Description:
- At Assurant, we are committed to putting our customers at the center of everything we do. We are building the next generation of engineering capabilities by combining strong software engineering practices with AI-enabled development. We are seeking forward-thinking engineers who embrace innovation, diversity, and continuous learning in a collaborative environment.
- Technology at Assurant drives strategy, modernizes platforms, and enables secure, scalable, always-on customer experiences across claims and policy systems through web, mobile, and partner channels.
- Our mission is to deliver stable, secure, scalable, and AI-accelerated solutions that increase business value, improve developer productivity, and delight our customers.
- We are seeking an AI-Enabled Software Engineer who combines solid technical skills with fluency in agentic AI development using Claude agents to accelerate the full software delivery lifecycle.
- This role is about working in a fundamentally new way: partnering with Claude agents to design, code, unit test, run Playwright functional tests, and conduct PR reviews—delivering higher quality software, faster, with the engineer owning outcomes, direction, and verification.
- You will help build and evolve cloud-native applications while adopting AI-native engineering practices as part of your daily workflow.
Key Responsibilities
AI-Enabled Engineering
- Use Claude agents as a primary development partner across the SDLC:
- Design — translate requirements into technical designs, evaluate approaches, and draft architecture with agent assistance
- Code — generate, refactor, and document code, keeping the engineer accountable for correctness and quality
- Unit testing — create and maintain unit tests with strong coverage
- Functional testing — author and run Playwright end-to-end and functional tests
- PR review — use Claude agents to assist with pull request reviews, catching defects, style issues, and risks before merge
- Apply best practices for the responsible and secure use of AI agents, including reviewing and validating all agent-generated output before it ships.
- Continuously refine prompts, context, and agent workflows to improve reliability and results.
Technical Delivery
- Design and deliver scalable, secure, cloud-native solutions using:
- .NET (C#, ASP.NET Core, APIs)
- Azure Cloud Services
- Contribute to microservices, APIs, and distributed systems, with attention to sound design patterns.
DevOps & Azure Ecosystem
- Build and maintain CI/CD pipelines using Azure DevOps (YAML pipelines).
- Apply best practices in:
- Automated testing (unit, integration, functional/Playwright)
- Continuous delivery and deployment
- Infrastructure as Code (Terraform Enterprise)
- Support integration across App Gateway, APIM, and backend services. Observability & Operational Excellence
- Implement monitoring and observability using:
- Azure Monitor, Application Insights, Log Analytics
- Datadog
- Help identify and resolve performance, reliability, and scalability issues.
- Assess the impact of platform updates (e.g., Microsoft releases) on applications. Business Value Enablement
- Partner with Product Owners and stakeholders to translate requirements into working, tested solutions aligned to business outcomes.
- Move from task execution toward outcome ownership. Collaboration
- Collaborate with Architecture, Security, Infrastructure, and Network teams.
- Contribute to team decisions on cloud, DevOps, and AI adoption. Expected Outcomes
- Increased productivity through agentic AI development with Claude
- Faster time-to-market via optimized CI/CD pipelines
- High-quality, well-tested code with strong unit and Playwright functional coverage
- Improved application reliability and observability
- Stronger engineering ownership and accountability
- Measurable business value delivery from engineering efforts Required Qualifications
- 5+ years of overall software engineering experience
- 1+ years of AI engineering experience
- Solid expertise in:
- C#, ASP.NET Core, API development
- SQL Server
- Hands-on experience with:
- Azure Cloud (App Services, APIM, Data Services)
- Azure DevOps (Boards, Repos, Pipelines)
- Experience with CI/CD and automated testing
- Familiarity with AI-assisted or agentic development workflows Preferred Qualifications
- Hands-on experience with Claude agents (or similar agentic AI coding tools)
- Experience building AI-assisted engineering workflows across design, coding, and testing
- Experience with Playwright for functional/end-to-end testing
- Knowledge of:
- Terraform (Infrastructure as Code)
- Microservices architecture & design patterns
- Azure Data Factory, Synapse, Databricks
- Familiarity with observability tools (Datadog preferred)
- Azure certifications (e.g., Azure Developer Associate) Key Competencies
- Strong problem-solving and systems thinking
- Ability to direct and verify AI agents—strong judgment about when to trust, correct, or override agent output
- Ability to translate technology into business value
- Excellent communication and collaboration skills
- Growth mindset and passion for continuous learning and innovation
- Ability to thrive in a fast-paced, Agile environment Job Expectations
- Ability to support production systems when needed
- 100% remote role
- Occasional work outside standard business hours