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
Staff Software Engineer on Vulnerability Management team at Salesforce, driving security tooling strategy and automation for detecting and remediating vulnerabilities. Collaborate with cross - functional teams while providing mentorship and delivering high - quality engineering solutions.
Data Center Security Officer responsible for conducting patrols and controlling access. Ensuring security and safety in data center facilities while monitoring surveillance and reporting issues.
Senior Security Auditor managing audit program operations for global security audits at NTT DATA. Focusing on coordinating, executing audits, producing reports and tracking remediation.
Security Architect in Transactions domain ensuring cybersecurity for Payments and Financial markets. Collaborating with teams to enhance compliance and security practices.
Modern Infrastructure and Security Architect at MUFG responsible for directing cyber security initiatives. Collaborating with engineers to enhance security features and tools across the organization.
Senior Federal Technical Program Manager driving execution of federal cloud operations. Facilitating engagements between HPE's CSP and MSP teams while ensuring compliance and operational efficiency.
Cloud Cybersecurity Engineer supporting multi - cloud environments for critical missions in alignment with the U.S. Air Force. Roles include overseeing security authorizations and collaborating with government teams.
Program Security Manager overseeing security and compliance for mission applications in the US. Managing security programs and leading facility operations at Aurora and Philadelphia locations.
Information System Security Manager providing cybersecurity and RMF support for DoD systems and applications. Collaborating with military, government, and contractor personnel to ensure national security and systems compliance.
AI Security Engineer focusing on identifying and mitigating AI vulnerabilities. Involves research, development, and implementation of adversarial machine learning algorithms.