Job Brief:We are seeking a highly experienced
Senior .NET Engineer (6+ years) with deep expertise in .NET Framework 4.x and legacy enterprise technologies, paired with modern proficiency in Docker and .NET Core / .NET 6+. This role is ideal for engineers who can straddle both worlds: stabilizing and supporting legacy systems while leading their transformation into containerized, modernized platforms. In addition to deep technical mastery, we expect this engineer to bring meaningful AI fluency to their daily practice — leveraging AI-powered coding assistants, automated code analysis, and intelligent migration tooling to accelerate modernization efforts, improve code quality, and reduce technical risk.
VentureDive Overview:Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.
Key Responsibilities
Legacy Modernization & Migration- Migrate legacy .NET Framework 4.x codebases to .NET 9, utilizing containerized environments with Docker.
- Modernize applications by building and deploying .NET Core / .NET 6+ services in place of legacy equivalents.
- Collaborate on modernization strategies including splitting monoliths, containerization, and CI/CD adoption.
- Troubleshoot and optimize performance in both legacy and modernized systems, ensuring continuity during transition.
Architecture & Engineering- Implement Microservices Architecture, applying relevant design patterns to support scalability and flexibility.
- Work with relational and non-relational databases, ensuring seamless integration with microservices.
- Manage Docker images and orchestrate services across test, staging, and production environments.
- Leverage Docker and Kubernetes for containerization and service orchestration.
- Collaborate with architecture, DevOps, and QA teams to ensure robust, secure, and scalable deployments.
AI-Augmented Engineering Practice- Use AI coding assistants (GitHub Copilot, Claude, ChatGPT, or equivalent) to accelerate development, code review, refactoring, and unit test generation across both legacy and modern .NET codebases.
- Apply AI-powered code analysis tools (e.g., SonarQube AI, Codium, or Amazon CodeWhisperer) to surface technical debt, identify security vulnerabilities, and prioritize refactoring targets during migration.
- Leverage LLM-based tools to auto-generate technical documentation, migration runbooks, architecture decision records (ADRs), and API specifications.
- Use AI-assisted tooling to accelerate legacy-to-modern mapping — e.g., converting WCF services, ASMX endpoints, or ADO.NET patterns to their modern .NET equivalents with AI-guided scaffolding.
- Critically evaluate all AI-generated code for correctness, security implications, and architectural alignment before committing — never treat AI output as production-ready without review.
- Contribute to team standards around responsible AI use in engineering, including prompt engineering practices and AI-assisted PR review workflows.
Required Skills- .NET & Microsoft Stack
- .NET Framework 4.0 to 4.8 — deep expertise required.
- .NET Core / .NET 6 / .NET 9 — production-level proficiency.
- C# — advanced, including async/await patterns, generics, LINQ, and performance optimization.
- ASP.NET MVC and ASP.NET Core Web API.
- WCF (Windows Communication Foundation) — design, hosting, and migration.
- ADO.NET, LINQ to SQL, Entity Framework (classic), and Entity Framework Core.
- ASMX Web Services and SOAP/XML integration.
- IIS (7 / 8 / 10) — deployment, configuration, and performance tuning.
- Must have hands-on experience in Java and the ability to work across both Java and .NET in polyglot environments.
Data & Infrastructure- SQL Server (2008 / 2012 / 2016+) and T-SQL — query optimization, stored procedures, schema design.
- Experience with NoSQL databases (e.g., MongoDB, Redis) alongside relational systems.
- Docker — image creation, Dockerfiles, Windows- and Linux-based containers.
- Kubernetes — service orchestration, scaling, and deployment management.
- Source control with Git — branching strategies, PR workflows, and code review practices.
AI Fluency Requirements- Demonstrated use of AI coding assistants in a professional .NET development or migration context.
- Ability to craft effective prompts for code generation, refactoring assistance, test creation, and documentation tasks in .NET ecosystems.
- Strong critical judgment in reviewing AI-generated code — identifying bugs, performance issues, and security risks before merge.
- Familiarity with AI-driven static analysis or code quality tools integrated into CI/CD pipelines.
- Awareness of AI-assisted migration patterns for legacy .NET modernization (WCF-to-gRPC, ASMX-to-REST, etc.) is a strong plus.
Preferred Additional Skills- Familiarity with cloud platforms (Azure, AWS) and cloud-native deployment patterns.
- Experience with message brokers (RabbitMQ, Azure Service Bus, Kafka) in distributed systems.
- Exposure to Infrastructure-as-Code tools (Terraform, Ansible) for automated provisioning.
Soft Skills & Leadership- Deep problem-solving ability across both legacy and cloud-native environments.
- Clear communicator who can articulate technical concepts across functions and to non-technical stakeholders.
- Hands-on mentor and technical leader in refactoring or migration efforts.
- Analytical and structured mindset with strong documentation habits.
- Self-driven and able to work independently and as part of a cross-functional team.
- Curious and growth-oriented — committed to continuous learning as both .NET tooling and AI-assisted development practices evolve.
Education- BSc or MSc in Computer Science, Software Engineering, or a related discipline from a recognised university.
- Supplementary learning in cloud architecture, AI tooling, or advanced .NET (certifications, open-source contributions, technical publications) is highly valued.
What we look for beyond required skills
In order to thrive at VentureDive, you
…are intellectually smart and curious
…have the passion for and take pride in your work
…deeply believe in VentureDive’s mission, vision, and values
…have a no-frills attitude
…are a collaborative team player
…are ethical and honest
Are you ready to put your ideas into products and solutions that will be used by millions?
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!
#LI-Hybrid
