
Healthcare Insurance • Artificial Intelligence • SaaS
Sevaro is redefining the future of neurology care by leveraging advanced virtual care services powered by the Synapse AI platform. The company specializes in providing comprehensive virtual solutions for stroke care and acute neurology, offering services such as remote EEG interpretations, neuro-intensive care, and neuro-rehabilitation. With a commitment to seamless care transitions and enhanced patient outcomes, Sevaro empowers healthcare teams by streamlining processes and increasing access to specialized neurological care.
November 4

Healthcare Insurance • Artificial Intelligence • SaaS
Sevaro is redefining the future of neurology care by leveraging advanced virtual care services powered by the Synapse AI platform. The company specializes in providing comprehensive virtual solutions for stroke care and acute neurology, offering services such as remote EEG interpretations, neuro-intensive care, and neuro-rehabilitation. With a commitment to seamless care transitions and enhanced patient outcomes, Sevaro empowers healthcare teams by streamlining processes and increasing access to specialized neurological care.
• Define and drive the engineering vision, strategy, and roadmap in alignment with product and organizational goals. • Oversee engineering across provider experience, hospital systems, clinical quality, scheduling, licensing & credentialing, and internal operations. • Lead adoption of DevOps, CI/CD, and infrastructure-as-code practices for rapid and reliable releases. • Establish engineering standards, best practices, and architecture principles to ensure scalability, security, and maintainability. • Champion the use of AI-driven development tools (e.g., code assistants, automated QA, intelligent CI/CD) to accelerate delivery and improve quality. • Ensure end-to-end ownership and delivery of high-quality software across web, mobile, and internal tools. • Drive close collaboration with Product, Data & AI, and Clinical teams to define requirements and ship impactful solutions. • Oversee the full product lifecycle: prototyping, development, testing, release, and ongoing maintenance. • Lead the development of video communication solutions (e.g., video carts for patient consultation, mobile apps with real-time calling and chat functionality). • Ensure implementation of federated single sign-on (SSO) applications to enable secure and seamless access across platforms. • Leverage AI-powered tools to accelerate prototyping, debugging, testing, and deployment. • Build, mentor, and scale a high-performing, distributed engineering organization (U.S.-based and offshore). • Define career development paths and foster a culture of ownership, excellence, and accountability. • Partner with HR and recruiting to attract top engineering talent aligned with the company’s mission. • Provide coaching and mentorship to engineering leaders and tech leads. • Stay engaged with code, architecture reviews, and key technical tradeoffs. • Encourage experimentation with emerging tools, frameworks, and AI-powered engineering workflows. • Drive adoption of strong practices in testing, observability, security, and performance optimization. • Ensure best-in-class developer productivity through modern workflows, automation, and infrastructure. • Represent engineering at the executive leadership level, aligning priorities across functions. • Partner with Product and Data & AI leadership to align strategy, foundations, and innovation. • Clearly communicate engineering priorities, challenges, and successes to both technical and non-technical stakeholders. • Serve as a visible technical leader in the healthcare innovation space.
• 10+ years in software engineering, including 5+ years in senior leadership (VP or Director level). • Proven success in leading teams to deliver scalable SaaS applications (web and mobile). • Must have hands-on experience building video communication platforms (video carts, mobile calling, chat functionality). • Must have expertise in implementing federated single sign-on (SSO) applications in enterprise healthcare environments. • Deep technical expertise across modern web/mobile frameworks, backend systems, and cloud infrastructure. • Strong background in DevOps, CI/CD, and AWS cloud. • Demonstrated experience with AI/ML engineering tools (e.g., GitHub Copilot, ChatGPT, Cursor) integrated into workflows. • Experience in healthcare technology is required. • Track record of managing and scaling distributed engineering teams (local + offshore).
• Health insurance • Professional development opportunities
Apply NowNovember 4
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