Menlo Security

1 month ago

Principal Engineer I

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Architect and own critical services for Menlo Security's R&D policy platform, shaping policy storage, distribution, and real-time enforcement. Lead architecture modernization, drive cross-functional initiatives, and mentor engineers while embedding AI/ML practices to enhance policy features and development workflows.

Location: United Kingdom

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Key Responsibilities

•Architect, design, and own services across the policy platform — from policy storage and versioning APIs, to the distribution pipeline that propagates rule changes to enforcement nodes, to the enforcement layer that applies policies at inspection time with low latency and high availability
•Evaluate the current state of policy management, distribution, and enforcement; design and lead a seamless modernization of the architecture that eliminates technical debt and scales for the future — without impacting customers or altering enforcement behavior
•Lead design reviews and gain consensus on architectural decisions within the Policy Team; keep module designs current and sign off on significant code and design changes
•Champion AI-assisted development practices (LLM-based coding assistants, automated test generation) and identify opportunities to embed ML/AI into policy features such as intelligent policy recommendations or anomaly-based threat detection
•Own complex projects end-to-end — requirements through deployment and monitoring — breaking work into well-scoped tasks for junior engineers and unblocking teammates to maintain velocity

Key Requirements

•8+ years of hands-on backend development in Python, Node.js, or Go; 5+ years with cloud platforms (AWS or GCP), including managed Kubernetes (EKS/GKE)
•Proven experience architecting distributed systems with strong reliability, scalability, and low-latency requirements — ideally in a security, networking, or high-throughput data path context
•Hands-on experience developing, debugging, and troubleshooting backend services in Linux environments; working knowledge of networking fundamentals (TCP/IP, TLS, HTTP/2, DNS, proxying) relevant to policy enforcement work
•Experience with policy or rules engines, configuration distribution systems, or real-time traffic inspection is a strong plus
•Demonstrated experience designing and executing large-scale data or schema migrations in live production systems — ideally with multi-tenant, zero-downtime, and behavioral-equivalence requirements
•Proficiency with data storage and analytics technologies such as Redis, PostgreSQL, MySQL, and Apache Druid or similar OLAP systems
•Hands-on experience with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, Gemini, or similar) and familiarity with LLM APIs and responsible AI practices in production
•Strong knowledge of HTTP security; experience with web security — URL classification, content filtering, or threat intelligence — is highly desirable
•Experience with FedRAMP, SOC 2, or FIPS 140-2/140-3 compliance frameworks is a plus
•Excellent written and verbal communication skills; proactive, self-directed, and rigorous with documentation and detail
•B.S. in Computer Science or related field required; M.S. preferred

Experience:8+ yearsCybersecuritySecuritySoftware engineeringCloudDistributed systems

Education:Bachelor's

Skills:PythonNode.jsGoAWSGCPKubernetesEKSGKERedisPostgreSQLMySQLApache DruidLLMAIGitHub CopilotHTTPTLSTCP/IPHTTP/2DNS

Languages:English

Tech Stack:PythonNode.jsGoAWSGCPKubernetesEKSGKERedisPostgreSQLMySQLApache DruidGitHub CopilotHTTPTLSTCP/IPHTTP/2DNS

Company Brief

Menlo Security

Provides a cloud-based isolation platform and secure enterprise browser to protect organizations from web, email, and document-based cyberattacks by executing risky content remotely and preventing malware and data exfiltration.

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series E+

Headquarters: Mountain View, United States

Founded: 2012

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Menlo Security

1 month ago

Principal Engineer I

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Key Responsibilities

•Architect, design, and own services across the policy platform — from policy storage and versioning APIs, to the distribution pipeline that propagates rule changes to enforcement nodes, to the enforcement layer that applies policies at inspection time with low latency and high availability
•Evaluate the current state of policy management, distribution, and enforcement; design and lead a seamless modernization of the architecture that eliminates technical debt and scales for the future — without impacting customers or altering enforcement behavior
•Lead design reviews and gain consensus on architectural decisions within the Policy Team; keep module designs current and sign off on significant code and design changes
•Champion AI-assisted development practices (LLM-based coding assistants, automated test generation) and identify opportunities to embed ML/AI into policy features such as intelligent policy recommendations or anomaly-based threat detection
•Own complex projects end-to-end — requirements through deployment and monitoring — breaking work into well-scoped tasks for junior engineers and unblocking teammates to maintain velocity

Key Requirements

•8+ years of hands-on backend development in Python, Node.js, or Go; 5+ years with cloud platforms (AWS or GCP), including managed Kubernetes (EKS/GKE)
•Proven experience architecting distributed systems with strong reliability, scalability, and low-latency requirements — ideally in a security, networking, or high-throughput data path context
•Hands-on experience developing, debugging, and troubleshooting backend services in Linux environments; working knowledge of networking fundamentals (TCP/IP, TLS, HTTP/2, DNS, proxying) relevant to policy enforcement work
•Experience with policy or rules engines, configuration distribution systems, or real-time traffic inspection is a strong plus
•Demonstrated experience designing and executing large-scale data or schema migrations in live production systems — ideally with multi-tenant, zero-downtime, and behavioral-equivalence requirements
•Proficiency with data storage and analytics technologies such as Redis, PostgreSQL, MySQL, and Apache Druid or similar OLAP systems
•Hands-on experience with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, Gemini, or similar) and familiarity with LLM APIs and responsible AI practices in production
•Strong knowledge of HTTP security; experience with web security — URL classification, content filtering, or threat intelligence — is highly desirable
•Experience with FedRAMP, SOC 2, or FIPS 140-2/140-3 compliance frameworks is a plus
•Excellent written and verbal communication skills; proactive, self-directed, and rigorous with documentation and detail
•B.S. in Computer Science or related field required; M.S. preferred

Experience:8+ yearsCybersecuritySecuritySoftware engineeringCloudDistributed systems

Education:Bachelor's

Skills:PythonNode.jsGoAWSGCPKubernetesEKSGKERedisPostgreSQLMySQLApache DruidLLMAIGitHub CopilotHTTPTLSTCP/IPHTTP/2DNS

Languages:English

Tech Stack:PythonNode.jsGoAWSGCPKubernetesEKSGKERedisPostgreSQLMySQLApache DruidGitHub CopilotHTTPTLSTCP/IPHTTP/2DNS

Company Brief

Menlo Security

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series E+

Headquarters: Mountain View, United States

Founded: 2012

Glassdoor: 4.0

Website LinkedIn Glassdoor