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Scalable

Digital care platform scaling healthcare delivery

Senior Cloud Site Reliability Engineer - Scalability

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Multiple years of experience with AWS and infrastructure as code, preferably Terraform.
  • Solid experience in monitoring, container orchestration, and microservice setups.
  • Good working knowledge of Python, at least one additional general-purpose programming language (preferably Java, Kotlin, or JavaScript/Node.js), and build automation tools.
  • A solid understanding of scalable system design principles, distributed systems, and cloud technologies.
  • A degree in a relevant field of study, such as computer science, engineering, or sciences, or work experience in a role that typically requires a university degree.
  • Full professional proficiency in English and the ability to communicate concisely in an international English-speaking environment.

Responsibilities

  • Shape how the company runs microservices to optimize performance, security, and cost efficiency.
  • Collaborate with cross-functional teams to identify and understand platform scalability requirements driven by user growth and increasing data volume.
  • Design and roll out monitoring best practices in Datadog, including service-level indicators, service-level objectives, and service-level agreements.
  • Research and develop service and storage improvements using serverless technologies, and optimize services and continuous integration/continuous delivery for scalability, cost, and performance.
  • Develop and maintain internal tooling for monitoring, the developer portal, and load testing.
  • Mentor and enable software development teams by educating them and providing reusable, unified building blocks to improve the scalability, reliability, and performance of existing and new services.
  • Stay up to date with industry trends, tools, and techniques related to scalability and performance engineering.
  • Design and implement best practices for auto-scaling infrastructure.
  • Run chaos engineering experiments to improve service resilience.

Desired Qualifications

  • Experience with GitHub Actions and Jenkins.
  • The ability to automate and improve processes while working with other developer teams.

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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