Intrahealth, a HEALWELL AI Company

• AI-First Delivery : AI coding tools and agentic workflows are a core part of your development process. You don't just prompt an AI to help with a feature — you think about how to build systems, skills, and workflows that let AI do more of the work, more reliably, over time. • Software Development : Design, build, test, and deploy backend services and APIs. Ensure code quality, maintainability, and performance across a modern platform built alongside a large legacy system. • Innovation in AI-Assisted Development : Drive innovation in how the team builds software. Explore and champion new tools, techniques, and agentic patterns — whether that's custom Claude skills, orchestration frameworks, or something that doesn't exist yet. We invest in systems that build features, not in hand-coding every feature. • Database Engineering : Design and evolve database schemas, write and optimize complex SQL, and contribute to migration strategies. You are comfortable working deep in the data layer across large, complex relational databases. • Architecture & Design : Contribute to architectural decisions including API design, component design, database schema evolution, and system scalability. Ensure solutions align with long-term platform sustainability. • End-to-End Ownership : Own features from conception through QA through production. Work closely with Product to validate functionality, clarify requirements, and ensure successful releases. Communicate technical concepts clearly to both technical and non-technical stakeholders. • Quality & Engineering Practices : Take full ownership of quality. Write and maintain unit, integration, and end-to-end tests. Participate in code reviews and contribute to CI/CD pipeline improvements and technical documentation. You are responsible for what you ship.

• Design, build, and maintain Kubernetes-based infrastructure and cloud environments. • Own the platform that our development teams build on, ensuring it is reliable, scalable, and secure. • Build and optimize CI/CD pipelines that enable fast, safe, and repeatable deployments. • Automate everything from build to production, manual gates are the exception, not the rule. • Leverage AI coding tools and agentic workflows as a core part of your work to accelerate infrastructure automation, pipeline development, and operational problem solving. • Define and manage infrastructure using Terraform and related IaC tooling. Ensure environments are reproducible, version-controlled, and auditable. • Implement and maintain monitoring, logging, and alerting systems. Ensure system health visibility and drive reliability improvements through data, not guesswork. • Embed security practices into infrastructure and pipelines. Support compliance requirements relevant to healthcare data across multiple jurisdictions. • Work closely with development teams to remove friction from the delivery process. Partner with external infrastructure providers to plan, coordinate, and deliver platform work.

• AI-First Quality: AI coding tools and agentic workflows are a core part of how you build and maintain test coverage. • QA Infrastructure Ownership: Own the end-to-end QA infrastructure for our modernization programs — test frameworks, test data management, environment provisioning, CI/CD integration, reporting, and flake management. • Test Engineering: Design, build, and maintain automated test suites — unit, integration, API, end-to-end, performance, and regression — across .NET/React stack and its integration surface with a large legacy codebase. • Agent Orchestration: Build and operate multi-step agent workflows for test generation from tickets and specs, exploratory testing, failure triage, defect reproduction, and coverage analysis. • Process & Practice: Define the QA operating model for our modernization programs — how work enters QA, how evidence is captured in tickets, how test plans are linked and maintained, and how quality signals flow to engineering and product. • Architecture & Testability: Contribute to architectural decisions with a testability lens. • End-to-End Ownership: Own quality outcomes from requirements through production. • Engineering Practices: Participate in code reviews, contribute to CI/CD pipeline improvements, and maintain technical documentation.

• AI-First Delivery : AI coding tools and agentic workflows are a core part of your development process. • Software Development : Design, build, test, and deploy backend services and APIs using C#/.NET. • Innovation in AI-Assisted Development : Drive innovation in how the team builds software. • Database Engineering : Design and evolve database schemas, write and optimize complex SQL, and contribute to migration strategies. • Architecture & Design : Contribute to architectural decisions including API design, component design, database schema evolution, and system scalability. • End-to-End Ownership : Own features from conception through QA through production. • Quality & Engineering Practices : Take full ownership of quality.

Company Overview Intrahealth, a subsidiary of HEALWELL AI Inc. (TSX: AIDX), is an enterprise class EMR provider supporting approximately 20,000 providers and the care delivery of tens of millions of patients and clients across Canada, Australia and New Zealand. Intrahealthprovides a suite of flexible software solutions to a wide variety of customers including health authorities, public health, community health, home care, and primary care professionals. IntraHealth's solution is highly configurable and is ideal for complex health environments. To learn more about Intrahealth, please visit https://intrahealth.com. Position Overview Intrahealth is seeking a Senior React Software Developer fluent in AI-first development to help build the next generation of our flagship electronic medical record platform. You will work with React and TypeScript, delivering frontend experiences that support tens of thousands of healthcare providers across Canada, Australia, and New Zealand. Our ideal candidate sees AI-augmented development as core to how they work, not an experiment. You are proactive and technically strong, with deep fluency in AI coding tools and agentic workflows. You treat continuous learning as a core professional skill, staying current with rapidly evolving tools, techniques, and development paradigms. You are a strong problem solver, an excellent communicator, and you thrive in a collaborative, fast-moving environment. Responsibilities - Software Development: Design, build, test, and deploy frontend features using React and TypeScript. Ensure code quality, maintainability, and performance. - AI-First Delivery: You don't build features by hand. You build the AI engineering harness that delivers features. AI coding tools and agentic workflows are how you work, not something you're evaluating. You are expected to be faster and more capable because of how you use AI — and to keep pushing the boundary of what that means. - Agentic Orchestration: Help build and refine the systems that build our software. Contribute to agentic orchestration pipelines and harness engineering patterns that automate the development lifecycle — from ticket to tested pull request. We invest in systems that build features, not in hand-coding every feature. - Automation Over Review: We practice an Agentic SDLC — AI writes code, automation validates it through hard CI gates (type checking, linting, testing, security scanning), and humans approve behavior rather than reading code. You are expected to work within and improve this model, not route around it. - Problem Solving: Investigate and resolve complex technical challenges across the frontend stack. Identify risks early and propose practical, scalable solutions. - Architecture & Design: Contribute to architectural decisions including component design, state management, API integration patterns, and frontend scalability. We use Feature-Sliced Design with strict, CI-enforced module boundaries — you'll help evolve and maintain that architecture. - Domain Expertise: Develop deep understanding of product functionality and the healthcare workflows it supports. Become a subject matter expert in one or more key product areas. - Collaboration: Work closely with Product, Architecture, and Support teams to validate functionality, clarify requirements, and ensure successful releases. Communicate technical concepts clearly to both technical and non-technical stakeholders. - Quality & Engineering Practices: Take full ownership of quality from development through production. Write and maintain unit, integration, contract, and end-to-end tests. Participate in code reviews and contribute to CI/CD pipeline improvements. You are responsible for what you ship. Requirements - You are excited about the role of AI in Software Engineering and embrace the change. - Demonstrated fluency with AI-assisted development tools (e.g., Claude Code) and agentic coding workflows. - 7+ years of industry experience in software development. - Strong proficiency in React and TypeScript. - Experience consuming and integrating RESTful APIs. - Strong problem-solving and analytical skills. - Excellent communication and teamwork skills. - Experience with CI/CD pipelines and deployment practices. - Nice to haves: - Experience with Electronic Medical Record software. - C# / .NET Our Stack React 19, TypeScript (strict), Vite, Tailwind, Playwright, Storybook.

Company Overview Intrahealth, a subsidiary of HEALWELL AI Inc. (TSX: AIDX), is an enterprise class EMR provider supporting approximately 20,000 providers and the care delivery of tens of millions of patients and clients across Canada, Australia and New Zealand. Intrahealth provides a suite of flexible software solutions to a wide variety of customers including health authorities, public health, community health, home care, and primary care professionals. Intrahealth’s solution is highly configurable and is ideal for complex health environments. To learn more about Intrahealth, please visit https://intrahealth.com. Position Overview Intrahealth is seeking a Senior Software Developer fluent in AI-assisted development to modernize and evolve our Data Transfer Platform into a scalable and configurable solution. As a Senior Software Developer, you will play a key role in evolving our Data Transfer Platform into a highly scalable fault tolerant system. Our ideal candidate sees AI-driven development as core to how they work, not an experiment. You are proactive and technically strong in backend and data-intensive systems, with deep fluency in AI coding tools and agentic workflows. You treat continuous learning as a core professional skill, staying current with rapidly evolving tools, techniques, and development paradigms. You are comfortable navigating complex codebases across multiple languages, extracting business logic, and re-architecting it for a modern platform. You are analytical, detail-oriented, and thrive in a complex healthcare environment. Responsibilities - Platform Modernization: Analyze and modernize the existing Data Transfer system into a scalable, maintainable .NET-based platform. Distill complex business rules into clean, well-architected components while ensuring functional continuity. - Software Development: Design, build, test, and deploy backend services for data extraction, transformation, validation, orchestration, and integration. Ensure code quality, maintainability, and performance. - Architecture & Design: Contribute to architectural decisions, including API design, database schema evolution, modularization, and system scalability. Ensure solutions align with long-term platform sustainability. - Collaboration: Work closely with Product, QA, Architecture, and Support teams to validate functionality, clarify requirements, and ensure successful releases. Communicate technical concepts clearly to both technical and non-technical stakeholders. - Quality & Engineering Practices: Apply coding standards and modern engineering best practices. Write and maintain unit and integration tests. Contribute to CI/CD improvements and technical documentation. - Problem-Solving: Investigate and resolve complex data-processing and integration challenges. Identify risks early and propose practical, scalable solutions. Requirements - Demonstrated fluency with AI-assisted development tools (e.g., Claude Code) and agentic coding workflows. - BSc in Computer Science, Software Engineering, or equivalent work experience. - Understanding of AI systems, including LLM architectures, token generation, and MCP frameworks. - 5+ years of hands-on experience with C# and the .NET framework. - Strong proficiency in SQL Server or PostgreSQL. - Experience modernizing or refactoring legacy systems. - Ability to read and understand code written in different programming languages. - Solid understanding of API design, distributed systems concepts, and modern software development practices. - Strong problem-solving and analytical skills. - Excellent communication and teamwork skills. - Ability to manage time effectively and prioritize tasks in a dynamic environment. Nice to haves: - Experience with ETL, data migration, or interoperability frameworks. - Experience in healthcare, EMR, or regulated environments. - Experience with K8s, Azure or cloud-native architectures.

Company Overview Intrahealth, a subsidiary of HEALWELL AI Inc. (TSX: AIDX), is an enterprise class EMR provider supporting approximately 20,000 providers and the care delivery of tens of millions of patients and clients across Canada, Australia and New Zealand. Intrahealth provides a suite of flexible software solutions to a wide variety of customers including health authorities, public health, community health, home care, and primary care professionals. Intrahealth’s solution is highly configurable and is ideal for complex health environments. To learn more about Intrahealth, please visit https://intrahealth.com. Position Overview Intrahealth is seeking a DevOps Engineer fluent in AI-augmented development to build and evolve the infrastructure and delivery systems behind our flagship EMR platform. You will own the Kubernetes-based infrastructure, CI/CD pipelines, and infrastructure-as-code that enable our engineering team to ship with speed and confidence. Our ideal candidate sees AI-augmented development as core to how they work, not an experiment. You are proactive and technically deep in cloud infrastructure, container orchestration, and automation, with fluency in AI coding tools and agentic workflows. You treat continuous learning as a core professional skill, staying current with rapidly evolving tools, techniques, and platform paradigms. You are a strong problem solver, an excellent communicator, and you thrive in a collaborative, fast-moving environment. Responsibilities - Infrastructure & Platform: Design, build, and maintain Kubernetes-based infrastructure and cloud environments. Own the platform that our development teams build on, ensuring it is reliable, scalable, and secure. - CI/CD & Delivery: Build and optimize CI/CD pipelines that enable fast, safe, and repeatable deployments. Automate everything from build to production, manual gates are the exception, not the rule. - AI-Augmented Delivery: Leverage AI coding tools and agentic workflows as a core part of your work to accelerate infrastructure automation, pipeline development, and operational problem solving. - Infrastructure as Code: Define and manage infrastructure using Terraform and related IaC tooling. Ensure environments are reproducible, version-controlled, and auditable. - Observability & Reliability: Implement and maintain monitoring, logging, and alerting systems. Ensure system health visibility and drive reliability improvements through data, not guesswork. - Security & Compliance: Embed security practices into infrastructure and pipelines. Support compliance requirements relevant to healthcare data across multiple jurisdictions. - Collaboration: Work closely with development teams to remove friction from the delivery process. Partner with external infrastructure providers to plan, coordinate, and deliver platform work. Communicate technical concepts clearly to both technical and non-technical stakeholders. Requirements - Demonstrated fluency with AI-assisted development tools (e.g., Claude Code ) and agentic workflows. - 5+ years of industry experience in DevOps, platform engineering, or infrastructure roles. - Strong hands-on experience with Kubernetes (deployment, scaling, troubleshooting, cluster management). - Strong proficiency with Terraform or equivalent infrastructure-as-code tooling. - Experience designing and maintaining CI/CD pipelines (GitHub Actions, Azure DevOps, or similar). - Strong scripting and automation skills (Bash, Python, or Go). - Experience with cloud platforms (Azure preferred, AWS or GCP acceptable). - Solid understanding of networking, DNS, load balancing, and container security. - Strong problem-solving and analytical skills. - Excellent communication and teamwork skills. - Proficiency with Git-based version control systems. - Nice to haves: - Experience with agentic orchestration, harness engineering, or automated development pipelines. - Experience with healthcare, EMR, or regulated environments (PHIPA/PIPEDA). - Experience with service mesh, GitOps (ArgoCD/Flux), or platform engineering patterns. - Familiarity with observability stacks (Prometheus, Grafana, Datadog, or similar).

Company Overview Intrahealth, a subsidiary of HEALWELL AI Inc. (TSX: AIDX), is an enterprise class EMR provider supporting approximately 20,000 providers and the care delivery of tens of millions of patients and clients across Canada, Australia and New Zealand. Intrahealth provides a suite of flexible software solutions to a wide variety of customers including health authorities, public health, community health, home care, and primary care professionals. Intrahealth's solution is highly configurable and is ideal for complex health environments. To learn more about Intrahealth, please visit https://intrahealth.com. Position Overview Intrahealth is seeking an Engineering Manager to lead multiple AI-first software development pods building our new electronic medical record platform. This is a greenfield opportunity focused on shaping a new product and engineering organization from the ground up through AI-first delivery practices. You will lead a team of engineers working across 3–5 pods and partner closely with Product, Design, and Architecture. You will establish team structure, technical direction, AI-first delivery practices, and quality expectations, while ensuring consistent throughput and maintaining correctness, security, and regulatory-minded engineering practices expected in healthcare software. Our ideal candidate has deep industry experience, strong product engineering instincts, and a proven ability to lead teams through ambiguity. AI fluency is essential. You track where the industry is going in AI-assisted and agentic software development, and you can operationalize it into reliable, repeatable delivery in a greenfield environment. Responsibilities - Own outcomes for the team: delivery, quality, operability, and predictability. Manage commitments, scope, and trade-offs with stakeholders. - Lead AI-first engineering execution across pods: - Define and evolve how work is structured across multiple pods, including ownership boundaries, dependencies, and delivery coordination. - Establish and scale AI-first development practices across pods, including how engineers use AI tools, agentic workflows, code generation, verification loops, and review discipline. - Create clear ways of working that support autonomy within pods while maintaining alignment across the broader platform. - Greenfield AI-first delivery leadership: - Help shape and build the engineering organization, systems, and practices required to deliver a new EMR platform from the ground up. - Drive clarity in ambiguous problem spaces, turning product and technical goals into actionable, testable increments using AI-first development approaches. - Ensure the team builds systems that maximize engineering leverage through AI, automation, and strong delivery workflows. - Technical leadership: - Guide system architecture and engineering practices across the new platform, including frontend, backend, APIs, and shared services. - Ensure the new system is scalable, secure, accessible, and maintainable. - Partner with senior engineers and architects to make sound technical decisions and manage cross-pod technical risk. - Provide technical leadership on where and how AI-assisted and agentic development should be applied, and where guardrails are required. - Quality and risk management: - Implement CI/CD quality gates (unit/integration/e2e), regression protection, static analysis, dependency controls, and release checks. - Define and enforce security/privacy-minded practices appropriate for healthcare data. - Establish guardrails and validation practices so AI-assisted development remains correct, maintainable, and auditable. - People leadership: - Coach engineers and technical leads in AI-first development practices and create a healthy, accountable engineering culture grounded in strong engineering habits (testing, design, PR discipline, operational ownership). - Support career growth, performance management, and team development across a growing organization. - Build a learning culture that helps the team keep pace with rapidly evolving AI tooling without destabilizing delivery. - Cross-functional execution: - Partner with Product to shape work into well-specified, testable increments. - Communicate clearly to technical and non-technical stakeholders, escalating risks early with concrete mitigation. Requirements - 7+ years of industry experience building production software, including experience leading teams or leading major initiatives end-to-end. - Demonstrated experience managing engineers across multiple teams, pods, or workstreams in a product engineering environment. - Demonstrated hands-on fluency with AI-assisted development tools and agentic workflows; AI fluency is a must-have and the most important skill for this role. - Proven ability to operationalize AI-first development into reliable delivery systems, practices, and guardrails rather than ad-hoc usage. - Proven ability to lead greenfield or early-stage product development through ambiguity and change. - Strong technical judgment and fluency in modern software engineering practices, including architecture, APIs, data modeling, CI/CD, performance, reliability, and testing. - Strong React and .NET engineering background, with the ability to guide technical direction credibly across the stack. - Strong problem-solving and analytical skills, and the ability to debug complex system and organizational delivery issues, including failures in AI-assisted workflows. - Excellent communication skills and stakeholder management; ability to set expectations and deliver predictably. - Nice to have - Experience building healthcare / EMR software or other regulated systems. - Experience leading teams through platform or product formation, including defining ownership, engineering practices, and delivery models from scratch.