we are looking for a Sr Software Engineer.
What You Will Do:
Write Code That Secures the Platform
Develop security tooling, automation, and services as part of the Security R&D teams core engineering output.
Contribute code to product engineering codebases, working alongside product teams to embed security capabilities directly into the platform.
Build integrations with AI-powered services – both in-house and third-party – to automate and scale security workflows.
Write clean, tested, production-quality code that meets enterprise standards for reliability and performance.
Collaborate and Learn
Work alongside senior engineers and the AI Security Research team, learning the security domain while contributing strong software engineering fundamentals.
Participate in code reviews, design discussions, and sprint ceremonies, contributing to the teams engineering culture from day one.
Partner with product engineering teams during open contribution engagements, building relationships through quality work.
Grow Your Impact
Develop deep expertise in security engineering and AI security as a member of a team that operates at the cutting edge of both fields.
Take increasing ownership of components and features as you ramp up, with a clear path to broader technical leadership.
Stay curious about emerging AI/ML technologies and contribute ideas for how Security R&D can leverage them.
What Makes This Role Unique
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: owns the entire stack – runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.
What You Will Do:
Write Code That Secures the Platform
Develop security tooling, automation, and services as part of the Security R&D teams core engineering output.
Contribute code to product engineering codebases, working alongside product teams to embed security capabilities directly into the platform.
Build integrations with AI-powered services – both in-house and third-party – to automate and scale security workflows.
Write clean, tested, production-quality code that meets enterprise standards for reliability and performance.
Collaborate and Learn
Work alongside senior engineers and the AI Security Research team, learning the security domain while contributing strong software engineering fundamentals.
Participate in code reviews, design discussions, and sprint ceremonies, contributing to the teams engineering culture from day one.
Partner with product engineering teams during open contribution engagements, building relationships through quality work.
Grow Your Impact
Develop deep expertise in security engineering and AI security as a member of a team that operates at the cutting edge of both fields.
Take increasing ownership of components and features as you ramp up, with a clear path to broader technical leadership.
Stay curious about emerging AI/ML technologies and contribute ideas for how Security R&D can leverage them.
What Makes This Role Unique
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: owns the entire stack – runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.
Requirements:
5+ years of professional software engineering experience building production systems.
Bachelors degree in Computer Science, Engineering, or a related technical field.
Strong hands-on proficiency in Python and Java. You are a software engineer first – writing production code is what you do.
Solid understanding of software engineering fundamentals: data structures, algorithms, system design, testing, and CI/CD practices.
Experience building services or applications in cloud environments with an understanding of scalability and reliability principles.
Collaborative mindset – you thrive in team environments, contribute to shared codebases, and communicate effectively with other engineers.
Passion for next-generation AI technologies and a desire to work at the intersection of software engineering and security. Deep security or AI expertise is not required – we will invest in your growth in both areas.
Preferred:
Any exposure to security concepts – application security, secure coding practices, vulnerability management, or security tooling.
Familiarity with AI/ML concepts, LLMs, or experience integrating AI services into applications.
Experience with container/Kubernetes environments or cloud-native development (AWS preferred).
Experience in a SaaS or enterprise software environment.
Demonstrated learning agility – a track record of quickly ramping up in new technical domains.
5+ years of professional software engineering experience building production systems.
Bachelors degree in Computer Science, Engineering, or a related technical field.
Strong hands-on proficiency in Python and Java. You are a software engineer first – writing production code is what you do.
Solid understanding of software engineering fundamentals: data structures, algorithms, system design, testing, and CI/CD practices.
Experience building services or applications in cloud environments with an understanding of scalability and reliability principles.
Collaborative mindset – you thrive in team environments, contribute to shared codebases, and communicate effectively with other engineers.
Passion for next-generation AI technologies and a desire to work at the intersection of software engineering and security. Deep security or AI expertise is not required – we will invest in your growth in both areas.
Preferred:
Any exposure to security concepts – application security, secure coding practices, vulnerability management, or security tooling.
Familiarity with AI/ML concepts, LLMs, or experience integrating AI services into applications.
Experience with container/Kubernetes environments or cloud-native development (AWS preferred).
Experience in a SaaS or enterprise software environment.
Demonstrated learning agility – a track record of quickly ramping up in new technical domains.
This position is open to all candidates.
