The Role

We're hiring a Senior IT Systems Engineer to design, automate, and scale the core infrastructure that powers our company. This is an engineering discipline role where the expectation is code driven systems, not ticket driven operations. This person will contribute to platform maturity through API integrations, identity lifecycle automation, and scalable workflow design with a direct impact on how Cadence's clinical and operational teams function every day.

What You'll Do

• 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.

What You Need

• 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.

Compensation

Our job titles may span more than one career level. The base salary for this role typically ranges between $160,000 – $200,000 depending on experience, skills, seniority, and business needs. In addition to base salary, this role may be eligible for equity as part of the total compensation package. Actual compensation may vary by location.