OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.

The Product: MetaDefender MFT

MetaDefender MFT is OPSWAT’s enterprise-grade Managed File Transfer solution designed to help organizations securely exchange, automate, and govern file transfers across enterprise and regulated environments. It is built to provide:

Secure File Exchange: A secure and scalable file transfer platform for both human and system-to-system workflows across enterprise environments.
Threat Prevention and Compliance: Integrated security capabilities embedding OPSWAT technologies such as multiscanning, Deep CDR, DLP, and centralized auditability directly into file transfer operations.
Enterprise Platform Evolution: A mature and continuously evolving platform focused on reliability, automation, operational visibility, and secure enterprise integration.

As part of the MetaDefender MFT team, you will contribute to the evolution and modernization of a platform trusted by enterprise and critical infrastructure organizations worldwide.

The Position

As an AI Native .NET Engineer, you orchestrate a fleet of AI agents to architect, build, and deploy production-grade systems, and AI agents are a core part of your daily workflow. You build complex multi-service systems, create custom coding harnesses and test frameworks, and reverse-engineer existing systems entirely through AI workflows. You are measured by the speed of deployment and the robustness of what you ship, not the volume of your commits. You think in terms of “how do these pieces fit together as a system” and blend product, design, and analytical thinking into your delivery.

You Will Have The Opportunity to

Take ownership of supervisor approval workflows — designing and evolving the backend systems that route file transfers through configurable approval chains, status tracking, and policy-driven decision flows.
Develop and maintain audit logging and compliance capabilities — building reliable and traceable event tracking for user activities and file transfer operations across the platform.
Leverage modern AI-assisted development tools to improve engineering workflows, accelerate implementation, and support activities such as code generation, testing, documentation, and review processes while maintaining ownership and quality of delivered solutions.
Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
Create custom coding harnesses and test frameworks for structured, repeatable AI-assisted development — giving the team reliable scaffolding that agents can operate within safely and consistently.
Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
Help define and codify AI-native engineering practices for the MFT team — establishing playbooks, context file standards, and review norms the broader engineering organization can adopt.

What We Are Looking For

AI-Native Fluency: Deep, hands-on experience integrating AI agents as core engineering tools, not add-ons — you approach every problem with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents drove backend velocity
Technical Excellence (.NET Core / C#): Strong proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.