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Scalable

Digital care platform scaling healthcare delivery

Engineering Manager - Client Data & Lifecycle

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Several years of professional experience in software engineering, including experience with complex backend or distributed systems.
  • Previous experience managing and developing software engineering teams.
  • Strong technical expertise in database-backed systems, microservices, and event-driven architectures.
  • Practical experience designing and operating scalable, reliable services in AWS or a comparable cloud environment.
  • Experience making architectural decisions involving data consistency, API design, asynchronous communication, and system scalability.
  • A strong understanding of software development practices, testing, observability, and production operations.
  • The ability to provide technical leadership without needing to be hands-on in day-to-day implementation.
  • A degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Professional proficiency in English.

Responsibilities

  • Lead, coach, and develop a team of backend engineers, supporting their growth, performance, and long-term careers.
  • Provide technical direction across databases, event-driven systems, microservices, APIs, and AWS-based infrastructure.
  • Guide architectural decisions that improve data integrity, consistency, scalability, performance, and operational reliability.
  • Own the technical delivery of platform capabilities required for new products, including retirement accounts and additional European markets.
  • Drive the evolution of client data into reusable, well-defined platform capabilities for teams across the organisation.
  • Enable reliable asynchronous data replication and integration patterns across engineering teams.
  • Work closely with Product, Compliance, Operations, and Client Support to translate business and regulatory needs into effective technical solutions.
  • Create clarity and prioritisation in ambiguous problem spaces, balancing short-term delivery with long-term platform health.
  • Raise engineering standards around software design, testing, observability, operational ownership, and continuous improvement.
  • Encourage innovation and pragmatic adoption of modern engineering practices.
  • Define goals and contribute to the Client Technology Tribe’s technical and organisational roadmap.
  • Participate in hiring and help build a diverse, high-performing engineering organisation.

Desired Qualifications

  • Experience with Kotlin, Java, and Spring Boot.
  • Experience working with master data, data platforms, data quality, or data replication.
  • Experience in fintech, banking, or other regulated environments.
  • Experience building platforms used by multiple product or engineering teams.
  • Familiarity with compliance-sensitive client data and lifecycle processes.

About the Company

Scalable

Digital care platform scaling healthcare delivery

Scalable Care is a digital care platform that uses conversational AI and automation to help organizations deliver healthcare at a larger scale. The system automates routine interactions and workflows to boost the capacity of healthcare teams, create additional revenue streams, and improve patient outcomes. It works by integrating AI-driven chats and automated processes into care delivery, enabling tasks such as triage, scheduling, follow-ups, and other frontline duties to be handled more efficiently. What sets it apart from competitors is its explicit focus on scalable workforce enablement and revenue growth through AI-powered automation, rather than just offering a single tool or interface. The goal is to empower organizations to expand their healthcare capacity, increase earnings, and achieve better health results for patients.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2019

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