Senior SecOps Engineer

Description

We are building a unified, scalable AI security testing and benchmarking platform integrated within the Hyperspace ecosystem. This initiative unifies diverse security services behind a single, intelligent agent that automatically routes requests to the appropriate capability, simplifying workflows for developers and AppSec teams. The project also involves evaluating cost-effective open-weight LLMs, benchmarking various AI security tools, and seamlessly connecting capabilities across the software development lifecycle (SDLC) using the Model Context Protocol (MCP) and agentic approaches. Responsibilities Design and implement a unified AI security testing and benchmarking platform within the Hyperspace ecosystem Build an intelligent agent capable of automatically routing requests to the appropriate security service Evaluate cost-effective open-weight LLMs for security use cases Benchmark various AI security tools to assess performance and effectiveness Connect security capabilities across the software development lifecycle using MCP and agentic approaches Collaborate with developers and AppSec teams to simplify security workflows Conduct dynamic and static testing to identify vulnerabilities Apply application security fundamentals to detect and address OWASP Top 10 vulnerabilities across Web Application, MCP, and LLM contexts Requirements 5+ years of experience in security engineering and development Understanding of AI security concepts, including MCP, LLM, and RAG Knowledge of dynamic and static testing methodologies Background in application security fundamentals, including OWASP Top 10 vulnerabilities across Web Application, MCP, and LLM domains English proficiency at B2 level or higher Nice to have Familiarity with cross-language code, with the capability to read, understand, and make small patches when needed Interest in AI for security and security for AI topics, along with skills in clear technical writing and reporting Capability to communicate effectively across engineering, security, and stakeholder teams

Requirements

• 5+ years of experience in security engineering and development

• Understanding of AI security concepts, including MCP, LLM, and RAG

• Knowledge of dynamic and static testing methodologies

• Background in application security fundamentals, including OWASP Top 10 vulnerabilities across Web Application, MCP, and LLM domains

• English proficiency at B2 level or higher

Responsibilities

• Design and implement a unified AI security testing and benchmarking platform within the Hyperspace ecosystem

• Build an intelligent agent capable of automatically routing requests to the appropriate security service

• Evaluate cost-effective open-weight LLMs for security use cases

• Benchmark various AI security tools to assess performance and effectiveness

• Connect security capabilities across the software development lifecycle using MCP and agentic approaches

• Collaborate with developers and AppSec teams to simplify security workflows

• Conduct dynamic and static testing to identify vulnerabilities

• Apply application security fundamentals to detect and address OWASP Top 10 vulnerabilities across Web Application, MCP, and LLM contexts

Seniority

• Senior

Nice to have

• Familiarity with cross-language code, with the capability to read, understand, and make small patches when needed

• Interest in AI for security and security for AI topics, along with skills in clear technical writing and reporting

• Capability to communicate effectively across engineering, security, and stakeholder teams