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.
This is a contract-to-hire role. The contract period is 3-6 months with conversion dependent on performance.
Position Summary
The Senior Cloud Engineer is responsible for helping define and support cloud infrastructure architecture, cloud engineering practices, infrastructure automation, and related tooling for Lirio applications, products, services, and engineers. This role provides end to end support to technical engineers for computing platforms and resources and offers guidance in both tooling and team integrations to mitigate risks and enhance innovation. This candidate will provide technical support by aiding cloud, software, data, and machine learning engineers in designing and architecting cloud-agnostic and Cloud Native Computing Foundation (CNCF) aligned cloud-native solutions, acquiring infrastructure, and deploying them at scale; providing technical support to cloud practices and architectural approaches; supporting and running Lirio’s Software-As-A-Service (SAAS) solutions while helping Lirio and our clients with strategic integration of custom packaged solutions like an enterprise solution to be deployed within client cloud environments as needed.
Essential Duties & Responsibilities
- Support the design and planning of cloud-agnostic solutions capable of being deployed to multiple cloud providers and customer public cloud and private data centers
- Design, implement, test, deploy, maintain, and support cloud-native and cloud-agnostic self-healing infrastructure across environments, multiple cloud providers, and customer data centers as a top-level contributor
- Align cloud infrastructure with HITRUST & SOC2 compliance and support audits
- Plan, implement, and support a developer platform to improve self-service
- Collaborate with development teams to evaluate and identify optimal cloud services and infrastructure solutions and address issues as they arise
- Review existing systems and offer recommendations for improvement
- Identify, analyze, mitigate and resolve infrastructure issues, vulnerabilities, and application deployment issues through monitoring, scanning, observability, and processes
- Support and improve Lirio’s engineering practices including an emphasis on quality and security
- Document decisions, work product, and cloud practices
- Review code, designs, and contributions from others, promoting stability, security, compliance, scalability, readability, and maintainability
- Write clean and maintainable code/infrastructure-as-code (IaC)
- Assist in project planning, estimation, and resource allocation
- Help manage infrastructure spend efficiency
- Implement and support build & CI/CD pipeline engineering efforts as needed
- Pursue continuous learning through individual study, online courses, product documentation, and community resources to bring innovation to the technical organization
- Design, implement, and support stateful database infrastructure including managed cloud databases and Kubernetes-native database operators.
Basic Qualifications
- 5+ years in software product development, cloud engineering, and operations across public or private clouds (AWS & Azure; OCI a plus) including hands-on work with secure, scalable enterprise systems (Java or Python)
- Bachelor's Degree in Computer Science or related field required
- Master's Degree in Business Analytics, Business Administration, or similar preferred
- Articulated ability to help others, collaborate cross-functionally, thrive in a fast-paced environment, and stay current on emerging cloud technologies and industry trends
- Experience supporting infrastructure for a health tech or healthcare related company with a software product
- Strong proficiency with containerization (Docker, Kubernetes), the Linux operating system, cluster management/administration, and deployment tooling (Helm, ArgoCD) for distributed, event-driven architectures including stateful workloads and database operators
- Strong proficiency in DevSecOps principles and automation frameworks (Terraform, Ansible, Azure Key Vault), scripting (Python, Bash), and CI/CD pipelines (Azure DevOps – Gradle, Poetry, JFrog)
- Experience designing and securing network infrastructure end-to-end (in-transit and at-rest) and meeting compliance frameworks (HITRUST, PCI) with SOC2 attestation
- Skilled at using observability platforms (Datadog or similar) to review operational metrics and drive improvements
- Demonstratable command of a programming language where Java, Python, and Go are preferred though demonstrable, articulable skills with TypeScript, C#, or other languages will be considered
- Software engineering background or previously held a software engineering role which may include platform engineering or reliability engineering
- Proficient with Microsoft Entra ID/AD
- Ability to quickly learn company terminology and processes
- Self-starter with strong time management and work planning skills
- Experience deploying and supporting the same software on multiple clouds at the same time.
- Experience with microservices and eventually consistent architectures
- Experience with event-driven architectures, asynchronous messaging, and Apache Kafka
- Experience running highly available, cloud-agnostic, production data and event infrastructures in Kubernetes
- SRE experience with large scale cloud-based systems
- Experience building infrastructure for Data and Machine Learning teams
- Experience deploying, operating, and migrating relational database infrastructure including Amazon RDS and CloudNativePG (CNPG) on Kubernetes, including high availability configuration, backup/restore, and monitoring for stateful workloads.
Benefits (Available Upon Conversion to FTE)
- Medical (HSA available)
- Dental
- Vision
- Short-term & long-term disability (company-paid)
- Life & AD&D (company-paid)
- 401K with company match
- 10 paid holidays, quarterly company closure dates, + holiday week company closure
- Flexible time off policy
- Work from home
- 6 weeks paid parental leave
- Salary range: $140k- $165k upon conversion
