Bachelor's degree in Computer Science or a related field required.
Experience securing modern production systems, including web applications and cloud services.
Strong engineering background with production coding experience (Python required).
Comfort with various cloud environments (AWS, GCP, or Azure).
Practical experience with threat modeling and incident response.
Ability to navigate ambiguity and make quick, informed decisions.
Clear communication skills to explain risks to diverse audiences.
Curiosity and a customer-oriented mindset.
Responsibilities
Own security across the Resolve AI platform, including application and cloud security.
Design security mechanisms for autonomous systems to ensure safe actions.
Collaborate with engineers to incorporate security in early system designs.
Integrate security directly into CI/CD processes and infrastructure.
Evaluate identity, permissions, and access management across multiple environments.
Proactively address emerging risks related to AI systems.
Articulate Resolve AI's security posture for enterprise customers.
Establish a pragmatic approach to security practices at Resolve.
Benefits
Flexible work environment with remote options.
Professional development opportunities.
Access to cutting-edge technologies and tools.
A collaborative and innovative team culture.
Full Job Description
What You'll Do
Own security across the Resolve AI platform, spanning application security, cloud infrastructure, internal services, integrations, and agent execution.
Design security mechanisms that work with autonomous systems, enabling agents to take action safely, audibly, and within well-defined boundaries.
Partner closely with engineers across platform, infra, and product to shape secure system designs early, not retroactively.
Build security directly into how we ship software: automation in CI/CD, guardrails in infrastructure, and defaults that scale as the company grows.
Evaluate and improve how we handle identity, permissions, and access across customers, tools, and environments.
Stay ahead of emerging risks related to AI-driven systems and propose concrete, engineering-led mitigations.
Help Resolve AI meet the expectations of enterprise customers by clearly articulating our security posture and participating in technical security conversations when needed.
Set the foundation for how security is practiced at Resolve: pragmatic, high-signal, and aligned with how real systems operate.
What We're Looking For
A Bachelor's degree in Computer Science or a closely related technical field is required for this position.
Experience securing modern production systems, including web applications, cloud infrastructure, and internal services.
A strong engineering background, with hands-on experience writing production code and building automation (Python required; other languages welcome).
Comfort working across cloud environments (AWS, GCP, or Azure), including IAM, networking, and infrastructure-as-code.
Practical experience with threat modeling, vulnerability management, and incident response and good instincts for what actually matters in production.
The ability to operate in ambiguity, make tradeoffs, and move quickly without losing rigor.
Clear communication skills and the judgment to explain risk in a way that builds trust with engineers, leadership, and customers.
Curiosity and a customer-oriented mindset: you want to understand how Resolve is used in the real world and secure it accordingly.
Nice to Have
Experience securing AI or ML-driven systems, including familiarity with risks unique to LLMs or agentic workflows.
Background building or integrating security tooling, especially where automation or scale was a core challenge.
Exposure to regulated environments or enterprise security reviews.
Experience designing systems with privacy-first principles such as data minimization, isolation, and anonymization.
