AI-native Software Engineer - MDaaS

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 Position MDaaS is OPSWAT's cloud-native engine framework, built on Kubernetes microservices and handling massive real-time file traffic for customers worldwide. We're looking for an AI-native Software Engineer to join our growing R&D Product Engineering Team and help build the next generation of security products with AI woven into every step of how you design, code, and ship. What You Will Be Doing Build and ship production services the AI-native way pair with agentic coding tools (Claude Code, GitHub Copilot, Cursor) as a first-class part of your daily workflow to design, implement, and refactor back-end services at higher velocity and quality. Build and operate the team's AI SDLC: set up and maintain the AI-assisted development pipeline: agent configurations, prompt/context templates (e.g. CLAUDE.md, project rules), MCP integrations, and guardrails so the whole team can code, review, and ship reliably with AI in the loop. Relentlessly pursues quality through multiple levels of automated tests, including but not limited to unit, API, End to End, and load in cloud managed services environment, augmenting coverage with AI-assisted test generation and review. Work within an agile scrum team, contributing to an atmosphere of continuous improvement. Document, collaborate and communicates issues effectively found during the course of development and testing and works to resolve the issue. Document software changes and AI workflows/prompts for use by other engineers, quality assurance and documentation specialists. Master the technologies, languages, and practices used by the team and project assigned including the AI tooling that accelerates them. Develop infrastructure as code to reliably deploy applications on demand or through automation. What We Need From You BA/BS in Computer Science, Technology or a related field or equivalent work experience. Experience: 2–4 years of professional software engineering experience. Hands-on experience shipping real code with AI-assisted / agentic development tools (Claude Code, GitHub Copilot, Cursor, or similar). Soft-skills: Excellent verbal and written communication skills. Self-motivated with a proven ability to work well in a fast-paced team environment. Ability to learn new development languages and new AI tools/models quickly and apply that knowledge effectively. Passionate about solving problems in an elegant and principled manner. Enthusiast about team work, learning and teaching including sharing AI workflows and best practices with the team. Ability to communicate and clarify requests, and to write clear, effective instructions/prompts for AI agents. Skills/Knowledge: Relevant experience in back-end development and JavaScript/Typescript (NodeJS). Experience with NodeJS Design Patterns and best practices. Experience with logging/tracing platform such as Kibana, Datadog. Experience with SQL or NoSQL databases like PostgreSQL or MongoDB. Experience with AWS or any other cloud provider. Experience building or operating a large scale Cloud service/ micro-service architecture. Experience working with Linux, K8S, and Docker. Able to knowledgeably discuss performance, security, and user interactions in complex systems. Knowledgeable about algorithms and data structures. Practical experience with AI SDLC (AI-assisted Software Development Life Cycle): using AI coding tools day-to-day and knowing how to review, validate, and take responsibility fo…