Senior Software Engineer- AI Platform(US)

PointClickCare

2d•$158,000 - $176,000•Hybrid

About The Position

At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare â€” so it doesnâ€™t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn. Travel to Office expectations For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Requirements

Experience writing clean code that performs well at scale using Java (or other functional or object-oriented languages).
Experience with Azure cloud services or equivalent
Experience with cloud native streaming using Azure Event Hub/Service Bus (or others, such as AWS Kinesis, Google Pub/Sub)
In-depth knowledge of relational databases (e.g. Microsoft SQL Server, PostgreSQL)
Experience with GitHub Actions, Jenkins CI/CD pipeline
Experience with Spring Boot
Solid experience writing RESTful API endpoints
Absolutely love TDD and have working knowledge of it
Proficient in GIT
Experience using system and performance monitoring tools (e.g. Azure Log Analytics, Grafana, DataDog)
Experience with automated testing frameworks (e.g. Selenium, Cypress,Jest, Playwright)
Excellent organization, critical-thinking and personal leadership skills
Self-starter with the ability to deliver with minimal supervision
Being okay with the uncomfortable feeling that comes from learning new things
Team player
Analytical mind with problem-solving aptitude
BSc/BA in Computer Science or a related degree
Use of Generative AI Code Assistants (e.g. GitHub Copilot) is a must and working knowledge of spec-driven development.
Daily application of the latest Generative AI Model capabilities is a must.
Extensive experience building and maintain AI platform infrastructure, Kubernetes, and container security.
Demonstrated expertise in observability, and monitoring frameworks, with a focus on real-time performance (i.e: experience with OpenTelemetry, NLPFlow).
Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs.
Strong knowledge of authentication and authorization frameworks integrated into AI platforms.

Nice To Haves

Experience with Kafka, or Kafka compatible platforms (e.g. Redpanda, WarpStream, or others)
Experience with integration engines such as Rhapsody, Mirth, or others
Experience with message brokers such as RabbitMQ
Experience with Docker, Kubernetes and Istio
Experience with Ansible
Experience with SAML, OAuth and OpenID Connect
Experience working on a SaaS product
Experience with Service Oriented Architecture
Knowledge of scripting languages such as Python, Bash
Familiarity with vLLM, SGLang or similar framework to host LLM inference workloads.
Experience with CI/CD pipelines and automation for AI model deployment and platform operations