Senior Cloud Engineer

Summary

Join Lirio as a Senior Cloud Engineer and contribute to defining and supporting cloud infrastructure architecture, cloud engineering practices, and related tooling for Lirio applications, products, and services. This remote role, with the option for a hybrid model in Tennessee, requires expertise in cloud-agnostic solutions, containerization, DevSecOps, and network infrastructure security. You will be responsible for designing, implementing, and maintaining cloud-native infrastructure across multiple cloud providers and customer data centers, ensuring compliance with HITRUST & SOC2 standards. This position offers a competitive salary, comprehensive benefits, and the opportunity to work with a team of talented engineers on innovative projects.

Requirements

• Bachelor's degree in Computer Science or related field
• 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)
• 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
• 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

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 , d eploy , 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, produc t documentation, and community resources to bring innovation to the technical organization

Preferred Qualifications

• 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

Benefits

• Medical (HSA available)
• Dental
• Vision
• Short-term & long-term disability (company-paid)
• Life & AD&D (company-paid)
• 401K with company match
• 10 paid holidays + holiday week company closure
• Flexible time off policy
• Work from home