Site Reliability Engineer (SRE)

Florence Healthcare - US • Atlanta, GA

2d

About The Position

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.

Requirements

• 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

Responsibilities

• 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

Benefits

• We offer a competitive compensation package, medical and dental insurance, and office space in the heart of the city.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees