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Bengaluru, Karnataka, India
Hybrid
Menlo Security's mission is enabling the world to connect, communicate and collaborate securely without compromise. COVID-19 has made our mission all the more real. We support customers across various enterprises including Fortune 500 companies, 9/10 of the largest global banks and the Department of Defense.
The world has fundamentally changed. We are growing from 400 employees into the next phase of our journey, and we need passionate talent filled with empathy and agility. The right candidate for the job is ethical, hyper-organized, fanatical about seeing things through to completion, service-oriented, and humble enough to take feedback and coaching yet confident enough to provide feedback and coaching.
Menlo is well-funded for growth and our investors are second to none. They include Vista Equity Partners (“Vista”), General Catalyst, JPMC, American Express, HSBC, and Ericsson Ventures.
Menlo Security is hiring a Senior Software Engineer to join our growing Threat Protection and ShadowAI team in Bangalore. This team makes sure our users can safely browse the web through our secure cloud, protecting them from malicious sites (including those built or operated with AI) and securing access to authorized web applications. The services this team builds are a core part of Menlo's secure enterprise browser for both humans and AI agents, which means you will be working directly on one of the fastest-moving problems in security today: how organizations get visibility into and control over unsanctioned AI use without shutting it down. The team also uses AI in how it builds, from code assistants and AI-assisted test generation through to LLM-supported log and incident analysis, so you will be applying these tools as well as defending against their misuse. If you like distributed systems, deep technical problems, and work where the threat landscape changes month to month, this is a strong fit.
Key Outcome(s) Owned:
Reliable, performant delivery of Threat Protection and ShadowAI services that detect and control risky web and generative AI application usage for Menlo customers.
End to end ownership of assigned features, from design through production operation and iteration.
Success Metrics / KPIs:
Service availability and latency for owned components meet or exceed team SLOs.
Features delivered on committed roadmap dates, with quality measured by post-release defect and rollback rates.
Automated test coverage maintained or improved on owned code paths.
Detection accuracy for AI application and malicious site coverage, measured by false positive and false negative rates.
Mean time to detect and resolve production issues in owned services.
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 find 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 judgment 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.
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).
Practical fluency with AI coding and debugging assistants, including sound judgment 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.
Well organized and thorough, with strong attention to detail and documentation.
MSGL-I4
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Why Menlo?
Our culture is collaborative, inclusive, and fun! We have five core values: Stay Aligned, Get It Done, Customer Empathy, Think Creatively and Help Each Other Out. We believe in open communication, supporting new ideas, and sharing a mutual mindset of what we’re aiming to achieve together. There are tremendous opportunities to take initiative, implement new ideas, and have a hand in building a legacy.
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.