• Lead and grow the Core Infrastructure team, setting vision, priorities, and execution for foundational cloud services. • Own the design, deployment, and operation of shared cloud primitives: GCP orgs & folders, networking, load balancers, compute, base images, Terraform frameworks, and upgrades. • Define and enforce best practices for scalability, security, observability, and maintainability across the cloud platform. • Partner with product and engineering teams to enable fast, safe, and reliable development and deployment workflows. • Drive continuous improvement in processes, automation, and infrastructure reliability. • Mentor and develop team members, fostering a culture of ownership, collaboration, and technical excellence.

Role Description We are looking for a Senior Engineering Manager, Test to lead our shift‑left quality transformation across Storable’s engineering organization. This role is responsible for building and operating enterprise‑scale testing platforms and enablement programs that move quality earlier in the SDLC, increase automation, and improve reliability for our multi‑tenant SaaS products. You will lead an engineering team focused on: - Test platforming: shared frameworks, tooling, and infrastructure for functional, integration, performance, and reliability testing. - Shift‑left enablement: embedding testing into design, coding, and CI/CD workflows so product teams can ship with confidence. - Change management: driving adoption of new practices and tools across diverse teams at varying levels of engineering maturity. This is a hands‑on people and technical leadership role, ideal for someone who has led test/platform or SRE/DevOps teams and thrives in high‑growth, mid‑maturity SaaS environments. Qualifications - 10+ years in software engineering / quality engineering, including 4+ years leading engineering teams (people management). - Proven experience leading test/platform, SDET, SRE, or DevOps teams in a multi‑service SaaS environment. - Demonstrated success driving shift‑left testing transformations or similar engineering practice changes at scale. - Strong technical background in at least one of Python, Java, or Go, with working knowledge of the others. - Hands‑on experience with: - Test automation frameworks (API/service, contract, and UI/E2E) - Performance and load testing tools and methodologies - CI/CD systems and integrating tests into pipelines - Deep understanding of distributed systems, microservices, and multi‑tenant architectures and their implications for testing and reliability. - Experience partnering tightly with SRE/DevOps on deployment, observability, and incident response. - Track record of leading through change in environments that are still maturing engineering practices (not just “maintaining” at a big‑tech level). - Excellent communication and stakeholder management skills across engineering, product, and business leaders. Requirements - Prior experience in high‑growth SaaS companies in the ~500–1,500 employee range. - Experience designing or operating centralized test platforms serving dozens of product teams. - Familiarity with observability and reliability tooling (e.g., Datadog, Prometheus, OpenTelemetry, Chaos tooling). - Experience working with global, distributed teams and across multiple product lines. - Background in reliability/resilience engineering (SLOs, error budgets, game days) applied to test strategy. Benefits - Generous health coverage for you and your family, including fully paid short- and long-term disability coverage and two-times base salary life insurance. - 401(k) match after 60 days, 100% vested after 1 year. - Employer contribution to your HSA, plus an HRA to help offset your deductible. - Instant access to flexible vacation. We trust you, so we have a ‘take what you need’ vacation policy. - Be More – company rewards and recognition that add up and can be redeemed for personalized gifts and experiences! - 8 hours of Volunteer Time Off each year and the opportunity to get active in the community by joining one of our offsite volunteer and community service events. - 8 hours of Rest, Relax, Recharge time to care for your mental health. - Access a range of mental well-being resources for yourself and your dependents, including counseling services, stress management programs, and mindfulness workshops. - Fully paid parental leave: 12 and 6 weeks for primary and secondary caregivers, respectively. - ’Paw’ternity Leave and Pet Bereavement. - Caregiver Leave: four weeks of fully paid time away from work to care for aging dependents or family members, if needed. - $50 monthly home data stipend, plus a home office sign-on bonus of $250. - Fertility care support options to help in your journey towards parenthood. - Access to financial experts to help you make informed decisions and achieve your financial goals. - Direct Student Loan Payment Program, some qualifications and eligibility rules apply.

• Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products. • Oversee teams managing storage services including relational and key-value storage infrastructure and tools at scale. • Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity. • Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects. • Work across the engineering organization and with internal and external partners. • Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands. • Lead technical decisions, projects, and roadmaps within the Online Storage team, shaping Affirm’s strategy for managing and serving relational and key-value storage workloads. • Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations. • In collaboration with tech leads, develop a multi-year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs. • Guide, tutor, and aid in the professional growth of junior and senior engineers within the team.

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.