What You'll Do

• Design, develop, and own new features and services in the Threat Protection and ShadowAI product area, contributing directly to Menlo's technical roadmap.
• Build highly available, scalable distributed systems and APIs, including multithreaded and asynchronous applications, with performance and security considered from the start.
• Build and refine the detection and policy capabilities that give customers visibility into generative AI and unsanctioned web application usage in their environments.
• Participate in building, deploying, and operating the Menlo Security platform in production, using dashboards, error reporting, metrics, and AI-assisted log and trace analysis to identify and resolve defects quickly.
• Use AI code assistants and AI-assisted test generation as part of your normal workflow to move faster, while applying your own judgement on correctness, security, and maintainability before anything ships.
• Partner with product, security, operations, and other cross-functional stakeholders to align on requirements, tradeoffs, and schedules.
• Write unit and automated tests, conduct code and design reviews for peers, and evaluate emerging technologies that could improve our products.

Functional Competencies

Required:

• 3-5 years of professional software development experience with one or more of NodeJS, Go, or Python.
• 3-5 years of hands-on experience with cloud services such as GCP and/or AWS.
• Working experience with Linux and standard development tooling such as git.
• Degree in Computer Science or a related field (BE, BTech, or Masters), or equivalent practical experience.
• Practical fluency with AI coding and debugging assistants, including sound judgement about when to rely on LLM output and when to verify it independently.
• Self-directed approach to problem solving, with the ability to pick up unfamiliar systems and technologies with limited guidance.

Preferred / Nice to Have:

• Experience building large-scale web applications and REST APIs.
• Strong grounding in complex data structures and database technologies.
• Experience with containers, Docker, and Kubernetes.
• Experience with cloud infrastructure as code tooling such as Terraform.
• Familiarity with the Tornado web application framework and test automation.
• Track record of adapting and improving engineering practices such as test-driven development, continuous delivery, agile ceremonies, automation, and maintainable, testable code.
• Interest in or exposure to security, threat detection, or AI governance and safety.

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Why Menlo?

At Menlo, we don't settle for the status quo — in our technology or our culture. How we think and act is just as important as what we build. Our culture is defined by five core mindsets: Proactive Leadership, Straight Talk, United Impact, Elevated Talent, and Customer-Compelled. We take ownership and drive outcomes without waiting to be told. We communicate directly and seek hard truths. We break down silos and win together. We hold a high bar for ourselves and the people around us. And we treat every customer interaction as mission-critical. If you're someone who sees it, owns it, solves it, and does it — you'll thrive here.

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

TO ALL AGENCIES: Please, no phone calls or emails to any employee of Menlo Security outside of the Talent organization. Menlo Security’s policy is to only accept resumes from agencies via Ashby (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of Menlo Security. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid.