Staff Offensive Security Engineer at Greenlight, leading offensive security strategies and vulnerability assessments. Collaborating with teams to enhance security measures and ensure safe banking for families.
About the role
- Engineer building reliability and security infrastructure for Jacobian's AI-driven radiology services cloud platform. Oversee observability, CI/CD, and ensure service reliability standards.
Responsibilities
- Design and operate SLOs, alerting, and incident response practices to keep clinical services reliable
- Build and maintain centralized observability across metrics, logs, and distributed tracing
- Design and maintain hardened CI/CD pipelines with security and quality gates, artifact signing, and SBOM generation
- Enforce least-privilege access across cloud and Kubernetes environments, replacing long-lived credentials with short-lived, federated access
- Implement cloud cost visibility and attribution by service and environment, with budgets and usage guardrails
- Partner with backend, frontend, and AI teams to embed reliability and security early in the development lifecycle
- Contribute to architectural discussions and decisions related to runtime, security, and delivery
- Support on-call rotations with a focus on sustainability and learning
Requirements
- Strong experience operating production systems in the cloud
- Hands-on experience with Kubernetes in production environments
- Experience building or operating CI/CD pipelines
- Solid understanding of cloud security and IAM
- Experience with observability tooling across metrics, logs, and tracing
- A track record of improving production reliability, not just maintaining it
- Nice to have: Experience in healthcare, regulated, or high-reliability environments
- Nice to have: Familiarity with FinOps practices and cloud cost optimization
- Nice to have: Experience with container security and supply-chain tooling
- Nice to have: Experience supporting AI or data-intensive workloads
Benefits
- Join a fast-growing healthcare technology company shaping the future of AI in radiology
- Work on meaningful products that improve radiology workflows and support better patient outcomes worldwide
- Be part of a mission-driven team that values trust, quality, collaboration, and innovation
- Enjoy flexible working hours and a hybrid work arrangement
- Competitive compensation and benefits package
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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