Senior Software Engineer- AI Platform(CA)

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. 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.**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.What your day-to-day will look like: · Identify, prioritize and execute tasks in the software development life cycle · Work with business to iterate over software requirements · Develop tools and applications by producing clean, efficient code · Automate tasks through appropriate tools and scripting · Analyze and debug systems · Perform validation and verification testing in a test-driven manner · Review the work of others, and invite others to review your work · Collaborate with internal teams and vendors to fix and improve products · Ensure software is up-to-date with latest technologies What qualifications we’re looking for: · 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 ( 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 ( Azure Log Analytics, Grafana, DataDog) · Experience with automated testing frameworks ( 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 Generative AI Code Assistants - Use of Generative AI Code Assistants ( 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 ( experience with OpenTelemetry, NLPFlow). - Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs. Bonus points for: · Experience with Kafka, or Kafka compatible platforms ( 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 - Strong knowledge of authentication and authorization frameworks integrated into AI platforms.