Senior Software Engineer I
Build and maintain Menlo’s secure cloud services that detect and control risky web and generative AI usage for enterprise customers, using distributed systems, AI-assisted development, and threat-detection techniques.
- Compensation
- Not disclosed
- Location
- APAC - India
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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.
Full description
Menlo Security is the leader in Browser Security for human and agentic workforces. Our mission is to enable humans and agents to connect, communicate, and collaborate securely, without compromise. The Menlo Browser Security Platform protects organizations from cyberattacks by stopping threats across the web, documents, and email before they reach the user. With Menlo Agent Runtime Security (MARS), that protection now extends to the AI agents working alongside every employee. Menlo Security is trusted by major global businesses, including Fortune 500 companies and government agencies, to protect their most valuable asset, their data, and is backed by top-tier investors.
Summary
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.
Outcomes & KPIsKey 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.
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.