About OPSWAT
OPSWAT is a global leader in IT, OT, and ICS critical infrastructure cybersecurity. We deliver an end-to-end platform that provides public and private sector organizations and enterprises with the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. For over 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 Managed File Transfer
MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete architecture designed for scale, security, and the future. It is built to be:
- A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
- A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR™ Technology, and DLP — directly into every file flow.
- A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.
You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.
The Position
At OPSWAT’s Technology Development Centre in Timisoara, we are looking for talented AI Native .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity! In Timisoara, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. We support professional development through training, mentoring, and real opportunities for advancement. The Timisoara office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit. As an AI Native .NET Engineer, you use AI agents as core development tools — generating code, scaffolding tests, and reviewing outputs with a critical eye. You work within an established architectural framework, contribute features end-to-end, and grow toward broader ownership over time. You are measured by the quality of what you ship and the speed at which you grow, not the volume of your commits. You have solid .NET fundamentals and the instincts to catch what agents miss.
You Will Have The Opportunity to
- Deliver features end-to-end within a defined scope — work from clear requirements, write clean, tested .NET code, and drive your work to completion with growing accountability.
- Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
- 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.
- Contribute to custom coding harnesses and test frameworks — work within established AI-assisted development scaffolding, and suggest improvements as you deepen your understanding of the codebase.
- Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
- 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.
- Support AI-native engineering practices for the MFT Enterprise team — contribute to playbooks, context file standards, and review norms as they evolve.
What We Are Looking For
- AI-Native Fluency: Hands-on experience using AI agents as core engineering tools — you approach daily development tasks with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents contributed to shipped features.
- Technical Excellence (.NET Core / C#): Solid 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.
- Mission-Focused Delivery: 2+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
- Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
- Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.
It Would Be Nice If You Had
- Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
- Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
- Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
- Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
- AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
- AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
- Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.