Senior Cloud Engineer

Summary

Join Lirio, a technology company specializing in behavioral science and AI-driven health interventions, as a Senior Cloud Engineer. You will play a key role in designing, implementing, and maintaining our cloud infrastructure, supporting both our SaaS product and enterprise solutions. This position requires expertise in cloud-native technologies, Kubernetes, and infrastructure-as-code. You will collaborate with engineering teams, ensuring scalability, security, and efficiency. The role is remote within the US, offering a flexible work environment and competitive compensation.

Requirements

• 5+ years developing public and private cloud infrastructure
• 2+ years development and deployment of Java or Python tech stacks
• Adept at utilizing DevSecOps principles to collaborate with other product engineering roles
• Knowledge and hands-on experience with cloud service providers Azure and AWS. Oracle OCI experience a plus
• Experience deploying and supporting the same software on multiple clouds at the same time
• Experience with core cloud services including compute, storage, networking, security, and databases
• Experience with containerization technologies like Docker and Kubernetes
• Experience with event-driven architecture
• Experience with Kubernetes deployment tools. Helm and ArgoCD preferred
• Experience deploying and supporting distributed systems on public and private cloud infrastructure
• Experience with Datadog or other observability platforms
• Experience with infrastructure-as-code and tools. Helm, Terraform, and Ansible preferred
• Experience securing networks and other infrastructure end-to-end, in-transit and at-rest
• Proficiency in scripting languages (e.g., Python, Bash) for automation tasks
• Working knowledge of Linux
• Demonstrable 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
• Comfortable in a fast-paced environment
• Ability to quickly learn company terminology and processes
• Collaborative / team oriented and flexible
• Self-starter with strong time management and work planning skills
• Desire to innovate, grow, and make a difference in the world by working with modern technology and a great team to achieve worthwhile goals and improve health for everyone
• Bachelor’s Degree in a technical field or equivalent work experience

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
• 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

Preferred Qualifications

• Experience with microservices and eventually consistent architectures
• Experience with event-driven architectures, asynchronous messaging, and Apache Kafka
• Experience working with production data and event infrastructures in Kubernetes
• Software engineering background or previously held a software engineering role
• SRE experience with large scale cloud-based systems
• Experience building infrastructure for Data and Machine Learning teams
• Experience with build tools like Gradle, Poetry, Azure DevOps Pipelines, and Github Actions
• Experience working with Protected Health Information (PHI)

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