Note: The job is a remote job and is open to candidates in USA. Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions. They are seeking a Senior Platform Engineer to own the reliability, automation, and scalability of the systems that power their revenue, growth, implementation, and patient outreach operations.

Responsibilities

• Own the reliability, scalability, and operational health of Cadence's GTM and patient outreach platforms, including Salesforce, Iterable, Twilio, and related systems
• Design, build, and operate cross-system automations, integrations, and workflows using APIs, webhooks, SQL, Git-based version control, deployment management, and observability tooling
• Improve system reliability by implementing monitoring, alerting, root-cause analysis, and preventative controls that reduce workflow failures and operational risk across patient acquisition and engagement pipelines
• Translate business requirements from Growth, Marketing, Operations, Product, Data, IT, and Security into scalable technical solutions, guiding architecture decisions from discovery through long-term support
• Own complex technical and operational initiatives end-to-end - from problem definition and implementation through launch, ongoing support, and continuous improvement
• Apply AI-assisted development tools to improve delivery velocity, system documentation, and operational efficiency across the platform

Skills

• 10+ years of experience in platform engineering, systems engineering, automation engineering, DevOps, SRE, business systems engineering, or a comparable technical discipline
• Demonstrated experience applying software engineering or platform engineering principles - version control, testing, deployment practices, environment management - to operational systems and business-critical workflows
• Deep experience building and supporting cross-system automations and integrations using APIs, webhooks, event-driven architectures, automation platforms, and SQL
• Strong debugging and root-cause analysis skills, with the ability to trace issues across systems, integrations, data flows, permissions, and configurations
• Experience with Salesforce DX and Git-based Salesforce development and administration practices, or comparable experience applying engineering discipline to complex enterprise SaaS platforms
• Ability to independently own ambiguous technical problems from architecture through launch, monitoring, and long-term operational support
• Fluency with LLM APIs, prompt engineering, and AI-assisted development tools; demonstrated experience building or evaluating AI-powered systems in production
• Experience with Infrastructure-as-Code tooling (such as Terraform or Pulumi)
• GTM platforms (such as Iterable, Twilio, HubSpot, or Segment)
• Prior work in healthcare, patient engagement, or regulated environments

Benefits

• Competitive pay & equity*
• Fully remote
• Comprehensive health coverage: Medical, dental & vision
• Paid time off
• 401k plan + matching
• Paid parental leave
• Home office stipend

Company Overview

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