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 

Reliability Engineering & Automation (40%) 

• →Architect, implement, and maintain automated solutions for deployment, monitoring, alerting and incident response using Lirio’s technology stack (AWS, Azure, Kubernetes, Kafka, Java, TypeScript, Groovy, Databases/SQL).
• →Develop and manage infrastructure as code (e.g., Terraform, AWS CloudFormation).
• →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. 

Peer Reviews & Collaboration (10%) 

• →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. 

Operational Support & Incident Management (20%) 

• →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. 

Mentorship & Knowledge Sharing (10%) 

• →Mentor and coach engineers on reliability engineering principles, operational ownership, and incident response best practices.
• →Design processes to share operational knowledge and avoid single points of failure.
• →Advise colleagues on architecture and reliability strategies.
• →Help establish shared operational ownership across teams to reduce single points of failure and knowledge silos. 

Continuous Learning & Innovation (10%) 

• →Stay current with industry trends in reliability engineering, cloud operations, and automation.
• →Bring innovation to operational practices and system design, evaluating and introducing new tools and technologies as appropriate for Lirio.
• →Evaluate new tooling with an emphasis on operational simplicity, security, and long-term maintainability. 

Documentation & Process Improvement (5%) 

• →Define and document operational processes, incident response playbooks, and reliability standards.
• →Contribute to operational planning, incident reviews, and reliability documentation. 

• 5-7 years related experience
• Bachelor's Degree in related field
• Linux systems and networking fundamentals (DNS, TCP/IP, TLS)
• Distributed systems debugging and failure analysis
• Load, stress, and fault-injection testing
• CI/CD tools and processes  
• Version control (e.g., Git)  
• Cloud platforms (e.g., AWS, Azure)  
• Containers and orchestration (Kubernetes)
• Kafka (messaging/streaming)
• Scripting and programming languages (e.g., Java, TypeScript, Groovy, Python)  
• Agile methodologies (e.g., Scrum, XP, SAFe)
• Databases/SQL
• Observability/monitoring tools (DataDog)