Intermediate Software Engineer, Pointclickcare

• 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
• Are you a software engineer passionate about building intelligent systems that make infrastructure smarter, faster, and more resilient?
• 5+ years' experience in software engineering
• Experience with SRE principles
• Experience with AI/ML in production environments
• A passion for automation, intelligent systems, and operational excellence
• Strong debugging, problem-solving, and system design skills
• This is your opportunity to code with purpose — building systems that think, learn, and adapt. If you're excited about the fusion of software engineering and AI, let’s talk

Desirable

• Join us as we reimagine operational engineering through AI-first principles. In this role, you’ll design and implement AI-powered solutions that drive observability, automate incident response, and optimise cloud-native platforms
• This is more than a traditional SRE role — it’s a chance to engineer the future of reliability using machine learning, generative AI, and predictive analytics
• Build ML-based anomaly detection and pattern recognition systems
• Enhance telemetry with smart tagging and metadata for better AI insights. Intelligent Automation
• Develop event-driven workflows and self-healing systems using AI triggers
• Automate incident response with generative AI and custom AI agent orchestration
• Use time-series forecasting and predictive modelling to anticipate failures
• Optimise infrastructure with AI-powered autoscaling and cost-aware resource allocation
• Build scalable, fault-tolerant systems in a cloud-native environment
• Participate in on-call rotations and lead incident response for critical systems
• Skilled in API integration for streamlined data exchange and system connectivity
• Tech Stack & Skills:
• Run internal AIOps workshops and help teams adopt AI maturity models
• Champion responsible AI practices and ethical automation
• Languages: Python, Java, Bash, Terraform
• Platforms: Azure, Kubernetes, Docker
• Tools: Datadog, Prometheus, AppDynamics, ELK, GitHub Actions
• ML/AI: MCP framework, AI agents, Vector store, Agent orchestration (LangChain), RAG
• CI/CD: Jenkins, ArgoCD, Spinnaker
• Databases: SQL Server, PostgreSQL, MySQL