Senior System Reliability Engineer

Lirio is a technology/software company that provides expertise in a variety of behavioral science domains (e.g., behavioral economics, social psychology, public health), data science, and machine learning to drive consumer engagement, close gaps in preventive and chronic care, and promote health and well-being across an individual’s lifespan. Lirio’s behavior change AI platform unites behavioral science with advanced artificial intelligence (AI) to deliver Precision Nudging health interventions.

Precision Nudging is the application of behavioral science to health interventions personalized by AI to each individual that overcome barriers to action at the right time and place for scalable, behavior change.

This is a remote role with the opportunity to be hybrid if located in Tennessee. All applicants must be authorized to work in the US without sponsorship.

To ensure an excellent onboarding experience and integration into the company, new colleagues will spend their first week onsite at one of our offices in Tennessee. Travel expenses will be paid. This is a requirement.

The Senior System Reliability  Engineer (SRE) at Lirio is responsible for the reliability, scalability, and performance of our cloud-native applications and infrastructure. This role leads the design and implementation of automation, monitoring, and incident response processes, and mentors other engineers in SRE best practices. The Senior SRE partners with development teams to ensure robust, secure, and highly available systems, and drives continuous improvement in operational excellence.

This role operates as a senior, hands-on reliability engineer embedded with product and platform teams. The Senior SRE is accountable for defining and enforcing service-level objectives (SLOs), reducing operational toil through automation, and improving system reliability through proactive engineering rather than reactive support. This role is not ticket-driven operations and is expected to influence architecture, development practices, and incident readiness across the platform.

• Architect, implement, and maintain automated solutions for deployment, monitoring, alerting, and incident response using Lirio’s technology stack (AWS, Azure, Kubernetes, Kafka, Java, Type Script, Groovy, Databases/SQL).
• Develop and manage infrastructure as code (e.g., Terraform, AWS Cloud Formation).
• Build and optimize CI/CD pipelines for seamless, reliable delivery.
• Define, implement, and continuously refine service-level indicators (SLIs), service-level objectives (SLOs), and error budgets for critical services.
• Identify and reduce operational toil through automation, platform improvements, and architectural changes.
• Performance analysis and optimization of Lirio systems and services.
• Ensure high availability and scalability of services through proactive engineering, load testing, and capacity planning across multi-tenant and client-specific environments.
• Review infrastructure changes, automation scripts, and reliability-impacting code changes to ensure production readiness.
• Collaborate with software engineers to embed reliability, security, and operational best practices into development workflows.
• Partner with software engineering teams during design and architecture discussions to identify reliability risks early.

• Monitor system health using modern observability tools (e.g., Prometheus, Grafana, Datadog).
• Participate in a defined on-call rotation supporting production systems, with clear escalation paths and expectations.
• Contribute to and maintain incident severity definitions, response procedures, and no-blame postmortem practices.
• Lead incident response, root cause analysis, and postmortems for production issues.
• Triage and resolve issues, ensuring minimal downtime and rapid recovery.
• Support client onboarding and production rollouts by ensuring reliability, observability, and operational readiness standards are met.
• Mentor and coach engineers on reliability engineering principles, operational ownership, and incident response best practices.
• Design processes to share…