Lirio

Support Engineer

• Use REST services and tools such as Postman API to set up and manage critical client environments for our services.
• Monitor/assess production applications and message distributions using tools and services such as DataDog, Email Data Source, SendGrid, Mailgun, Mailgun Optimize, Twilio, Salesforce, Microsoft Dynamics, Snowflake etc. Support analysis and process improvements associated with findings.
• Participate in a cross-functional and limited polyglot manner; possibilities include learning and helping with the UI or backend services, helping the data science team, assisting Application Support Engineers, processing change requests for Client Success
• Support technology and processes; this may include data ETL, software configuration, manipulating message templates/HTML, etc.
• Manage Client Service desk, maintain change request backlog, troubleshoot reported issues, escalate to appropriate teams where needed with clear and concise escalation details.
• Monitor, manage, and maintain multiple communications channel configurations using Mailgun, Twilio, Salesforce, MS Dynamics, etc.
• Assist Application Support Engineers in User Acceptance Testing (UAT) for new clients and platform capabilities.
• Work in a highly collaborative, multi-tasking, continually learning and agile DevOps environment.
• Produce high-quality work and demonstrate a high work ethic.
• Act in self-directed and attentive manner related to client operations.
• Be able to work in an Agile environment (e.g., Scrum, SAFe).
• Write and verify documentation related to infrastructure, products, and tools. Documentation includes API docs, wiki pages, troubleshooting guides, use of technology, roles and responsibilities, etc.
• Communicate effectively and clearly with both internal and clients; fail fast and learn from mistakes.

Technical Support Specialist

Cloud Engineer

• 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.

Senior Cloud Engineer – Contract-to-Hire

Platform Engineer

• Responsible for designing, building, and maintaining the AI-augmented software delivery platform that enables Lirio's engineering team to build software faster and safer using AI coding agents.
• Owns the end-to-end developer toolchain, from work item intake through AI agent coding loops to validated, compliant pull requests, ensuring that developers and AI coding agents can produce production-ready code together within Lirio's HIPAA/HITRUST-regulated environment.
• Collaborate cross-functionally with platform, cloud, security, and machine learning research engineers, as well as system architects, to ensure the AI developer platform integrates cleanly with Lirio's existing infrastructure and compliance posture.
• Deliver working developer platform capabilities in weeks, not quarters, starting with what we have today and iterating based on real results.

Senior AI Development Platform Engineer

• Design and implement infrastructure to support LLM-based autonomous agents capable of multi-step reasoning, planning, and task execution.
• Build and manage directed workflows using state machines and tools to coordinate complex AI-human handoffs.
• Lead the architectural design and technical implementation of interoperability standards that enable seamless communication between autonomous agents and diverse software ecosystems.
• Architect and maintain cloud-native platforms that support end-to-end AI workflows, from model experimentation to high-availability production deployment.
• Develop evaluation frameworks and observability dashboards to monitor agent accuracy, latency, cost, and safety guardrails.
• Optimize agent performance by managing tool discovery and context window efficiency through standardized protocols, ensuring agents can dynamically access and execute the right capabilities on-the-fly.
• Embed healthcare regulatory compliance (e.g. HIPAA) directly into the platform layer through automated guardrails and audit trails.
• Implement security controls against prompt injection and ensure PII/PHI de-identification within agentic data flows.
• Implement secure authentication, role-based access controls, and data masking within interoperability layers to serve as a secure gatekeeper between AI agents and sensitive enterprise systems.
• Provide subject matter expertise and technical support to engineering teams during implementation.
• Build prototypes, reference integrations, or proof-of-concept solutions to validate design decisions and de-risk complex implementations.
• Evaluate existing systems and propose improvements or replacements.
• Promote AI-assisted engineering tools and modern development practices consistent with Lirio’s engineering culture.
• Document processes, designs, implementations, and best practices for future reference.
• Serve as a contributing member of Lirio’s Architecture Team, helping to maintain architectural coherence and platform quality.
• Partner with Product Management to shape solution approaches before work enters development planning and execution.
• Work closely with Cloud, Data, AI/ML, Behavioral Science, and Engineering teams to ensure solutions support personalization, scalability, and measurable outcomes.
• Participate in the Engineering Council, helping to define and uphold engineering standards, patterns, and technical governance.
• Diagnose and respond to issues in the implementation of agent orchestrations, adjusting guardrails and workflows as needed.

Senior AI Platform Engineer

Solutions Engineer

• The Solutions Architect plays a critical role in designing secure, scalable, cloud-native solutions for Lirio’s platform across both our Lirio-hosted SaaS environment and our customer-hosted deployment model.
• This Solutions Architect role is primarily focused on Microsoft ecosystem integrations, including Azure, Power Platform, Dynamics 365 and Dataverse, and Copilot-enabled experiences.
• Partnering with Product, Engineering, Cloud, Data, AI, and Behavioral Science teams to translate product and client requirements into actionable system, integration, and data designs aligned with Lirio’s architecture standards.
• Defining clear integration boundaries between Lirio and customer ecosystems, including system-of-record decisions, data ownership, and stable integration contracts that meet latency, scale, reliability, and compliance requirements.
• Designing the agentic layer of the Lirio solution, including AI-centered workflows, services, and interoperability.
• Contributing to Lirio’s Architecture Team, shaping work before it enters delivery, producing design artifacts, and building prototypes or reference integrations to validate patterns and reduce customer-by-customer variability.

Technical Support Specialist

Senior Cloud Engineer – Contract-to-Hire

Senior AI Development Platform Engineer

Senior AI Platform Engineer

Solutions Architect – Contract to Hire