Senior IT Systems Engineer

Cadence is a clinical AI company focused on delivering continuous care for older adults with chronic conditions. They are seeking a Senior IT Systems Engineer to design, automate, and scale core infrastructure, contributing to platform maturity through API integrations and automation to support clinical and operational teams.

Responsibilities:

• Design, build, and own automation across core IT systems to reduce manual work, improve reliability, and scale with the organization
• Develop API-driven integrations and event-based workflows across platforms including Okta, Google Workspace, Slack, and other critical SaaS tools
• Build and scale identity lifecycle automation covering joiner, mover, and leaver workflows with a strong focus on security and operational efficiency
• Contribute to root cause resolution for recurring technical issues, eliminating failure points through system design and automation rather than repeated manual intervention
• Strengthen the technical quality of IT systems through rigorous code review, thorough documentation, and repeatable automation patterns
• Serve as the escalation point for complex cross system issues, debugging across integrations, environments, and SaaS platforms with minimal support
• Partner with IT, Security, and business stakeholders to evaluate, design, and deliver scalable infrastructure solutions that meet clinical and operational requirements

Requirements:

• 5+ years of experience in IT systems engineering or a closely related role, with a demonstrated automation-first approach to infrastructure problems
• Proficiency building and maintaining automation using scripting or coding languages such as Python, TypeScript, or similar, with experience in Git-based development workflows
• Experience designing and implementing API-based integrations including REST APIs, webhooks, and event-driven workflows across SaaS environments
• Hands-on experience with IAM platforms such as Okta and automation tooling such as Okta Workflows, Tines, or comparable platforms
• Strong experience administering SaaS environments including Google Workspace, Slack, and Zoom, with the ability to debug complex, cross-system issues independently
• Demonstrated experience with networking fundamentals, security principles, and infrastructure-as-code tooling such as Terraform
• Fluency with LLM APIs, prompt engineering, and AI-assisted development tools; demonstrated experience building or evaluating AI-powered systems in production