Sr Cloud Engineer (Contract-to-Hire)
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
Apply Now
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
Apply Now