Job Opportunities API

What We Do: Florence software advances cures by helping the world’s most important research sites do their best work. Our solutions are now used by over 30,000 research teams in 70 countries around the world—we’re the most widely deployed site workflow tool in the industry. By the end of the decade, we’ll double the pace at which new medicines get to market by doubling the output of trial site teams. To date, we were named a Deloitte Fast 50 business, G2 Category Leader, an Inc. & AJC best place to work, and an Inc. 5000 company five years in a row.  At Florence, we are committed to make the world a better place by accelerating research while providing an environment for our employees where they can be happy in their lives, enjoy their jobs, and grow.  What You’ll Bring to the Team: We are seeking a Site Reliability Engineer (SRE) to join one of our Scrum teams and help ensure the reliability, scalability, and performance of the Florence™ platform. AI-driven tooling and automation are a cornerstone of how we build, operate, and scale our systems. In this role, you will work closely with product engineers while actively leveraging AI to improve observability, incident response, automation, and overall platform reliability. Coding assignments in this role will require working with AI-assisted development workflows as a core part of how solutions are designed and delivered. You Will: Be an embedded member of a Scrum team, participating in planning, refinement, reviews, and retrospectives Use AI-powered tools to enhance system reliability, operational efficiency, and developer productivity Design, build, and operate reliable, scalable cloud infrastructure supporting platform and product services Apply AI-assisted analysis to monitoring, alerting, and observability data to detect, predict, and prevent incidents Define and maintain SLOs, SLIs, and error budgets to guide reliability decisions Collaborate with software engineers to embed reliability and AI-driven automation into the software development lifecycle Lead and participate in incident response, root cause analysis, and postmortems, leveraging AI insights where appropriate Automate operational tasks and reduce toil through AI-enabled and traditional automation approaches Contribute to disaster recovery planning, testing, and operational readiness Produce and maintain documentation such as runbooks, operational guides, and system diagrams Contribute code as a secondary responsibility, with coding assignments focused on building reliability tooling, automation, and integrations using AI-assisted development practices An Ideal Candidate Is / Has: Passionate about building reliable, scalable systems using modern, AI-enabled approaches Strong understanding of cloud-native and distributed system architectures Experience applying SRE principles in a production environment Hands-on experience with cloud platforms (AWS preferred) Experience using AI-assisted tools for coding, debugging, automation, or operational analysis Strong background in Linux, networking, and system operations Experience with infrastructure-as-code and automation tools (e.g., Terraform, CI/CD pipelines) Familiarity with modern observability practices (metrics, logs, tracing), including AI-enhanced analysis Comfortable working as part of an agile, cross-functional Scrum team Strong problem-solving, communication, and collaboration skills 4+ years of experience in SRE, DevOps, or similar roles Experience supporting production systems at scale What’s in it for you? Do well. We offer a competitive compensation package, medical and dental insurance, and office space in the heart of the city. Do good. We insist that health technology is the highest calling for software development. We pride ourselves on working on something bigger t