Senior .NET Engineer: Cloud Modernization & AI-Driven Dev

Insight Global

Westlake (TX)

On-site

USD 90,000 - 130,000

Full time

11 days ago

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Job summary

Insight Global seeks a .NET Developer to modernize and enhance an enterprise risk platform. You will build APIs and microservices, migrate data to cloud environments, and support Azure/AWS-based modernization while adopting AI-assisted coding tools.

The role spans production support, performance tuning, and governance in an Agile team. Key requirements include 3–5+ years with C#/.NET, SQL Server, REST APIs, cloud experience, and familiarity with AI tooling.

Qualifications

3-5+ years of hands-on software development experience using C# and .NET, including recent experience with modern .NET versions (.NET 8 preferred).
Strong experience with SQL Server, including querying, performance tuning, data modeling, and data-intensive applications.
Experience building and supporting enterprise applications, REST APIs, and microservices-based architectures.
Strong understanding of software engineering fundamentals and application design principles.
Experience working within a cloud environment (AWS, Azure, GCP, PCF, or similar).
Experience participating in and supporting CI/CD pipelines and modern DevOps practices.
Experience using AI-assisted development tools (GitHub Copilot, Claude, ChatGPT, Sonnet, or similar).
Understanding of AI fundamentals, including prompt creation and evaluation of AI outputs.
Experience working within Agile/Scrum teams.
Exposure to front-end development using Angular or a similar modern framework.
Recent development experience with Python within the past 2-3 years.
Experience developing applications within financial services, risk management, trading, or fintech environments.
Experience with ETL and data integration tools, such as SSIS.
Experience building or integrating AI-enabled applications, intelligent automation, or enterprise productivity platforms.
Experience designing scalable, secure cloud-native applications and microservices architectures.
Experience with CI/CD pipelines using Bamboo, Jenkins, GitHub Actions, or equivalent.
Experience with DevOps practices, release management, and production support in enterprise environments.
Experience with containerization technologies such as Docker.
Experience with Python for automation, scripting, or AI-related development.
Knowledge of application performance optimization, security best practices, and non-functional requirements.

Responsibilities

Build and support scalable APIs, integrations, and microservices for critical risk-management functions.
Contribute to cloud modernization initiatives, including data migration and future-state cloud architecture.
Participate in CI/CD processes and continuous improvement of development and deployment workflows.
Utilize AI-assisted development tools to increase software quality and productivity.
Collaborate with architects and leadership to implement development standards and governance frameworks.
Troubleshoot production issues, optimize performance, and support platform enhancements.
Work with onsite and offshore teams to deliver high-quality software in Agile environments.
Evaluate and recommend AI-enabled practices to automate and improve engineering workflows.