Solutions Architect

The Solutions Architect designs the end-to-end architecture required to deploy and operate our solutions successfully in each clients production environment. This includes infrastructure cloud and hybrid platforms integrations systems networks databases security observability and site reliability engineering (SRE).

The role spans the full client lifecycle. During the bid and pre-sales stages the Solutions Architect defines the target architecture and technical requirements evaluates total cost of ownership (TCO) and partners with Sales to develop the Statement of Work (SOW). During implementation and operation they guide technical delivery and remain accountable for the solutions availability performance scalability and reliability.

This is a hands-on position for someone who is equally comfortable making high-impact architecture decisions and investigating traces query plans or network traffic during a production incident. As the technical authority and ultimate escalation point for solution architecture this person works closely with clients Support Monitoring DevOps SRE Product Architecture and R&D. The position reports to the Customer Delivery & Performance Engineering group.

The people who thrive here are relentless in solving problems others have not cracked. They follow the evidence wherever it leads make sound decisions despite uncertainty and favour delivering practical measurable improvements over waiting for a perfect solution that arrives too late. They believe real-world feedback is one of the fastest ways to improve quality.

Bilingualism in French and English is mandatory as the position involves working with technical documentation and communicating with French- and English-speaking clients partners and colleagues.

What you will do

• Design the client-specific production architecture across infrastructure cloud and hybrid platforms systems networks integrations databases security and observability.
• Size and optimize environments for availability performance scalability resilience and cost using Infrastructure as Code and automation wherever appropriate.
• Support bids and pre-sales engagements by defining technical requirements developing the target architecture evaluating TCO and partnering with Sales on the SOW.
• Make consequential architecture decisions under incomplete information or time pressure; document the rationale and revisit decisions when new evidence emerges.
• Resolve the most complex production issues by reproducing failures identifying root causes and implementing durable improvements to performance and reliability.
• Lead the technical response to high-severity incidents from diagnosis and mitigation through verified resolution and follow-up corrective actions.
• Build prototypes load tests failure reproductions and diagnostic tools to validate assumptions and settle technical questions with evidence.
• Define integrations and APIs with Product Architecture and client teams ensuring interoperability resilience security and compatibility with existing environments.
• Design and optimize database architecture including performance integrity capacity planning and secure schema migrations.
• Establish SRE high-availability and disaster-recovery practices including SLOs SLAs recovery objectives and measures to reduce mean time to recovery.
• Strengthen application observability through logs metrics traces alerts and dashboards developed with Monitoring DevOps SRE and R&D.
• Design and automate CI/CD pipelines and deployment tooling to enable secure repeatable and reliable production releases.
• Monitor production health through reliability and performance indicators and assess delivery effectiveness using DORA metrics such as deployment frequency lead time for changes change failure rate and time to restore service.
• Translate production findings into prioritized technical requirements for R&D improving the products performance reliability observability and deployability.
• Embed security privacy and regulatory compliance into every architecture decision particularly where health data is involved.
• Establish client architecture standards guide deployment DevOps and SRE specialists mentor technical colleagues and influence cross-functional decisions without relying on formal authority.

Artificial intelligence

• Partner with the AI Lab to define and promote the responsible integration of AI and generative AIincluding LLMs retrieval-augmented generation and orchestrated workflowsinto client solutions and their supporting architecture.
• Design AI-enabled operational capabilities such as anomaly detection performance analysis and intelligent automation with appropriate security privacy governance and human oversight.
• Help technical teams use AI responsibly and effectively critically assess AI-generated outputs monitor emerging developments and advise leadership on relevant opportunities and risks.
   

Qualifications :

What you bring

• A university degree in computer science software engineering or a related discipline or equivalent professional experience.
• At least 10 years of experience in solution systems or infrastructure architecture within production environments ideally in a multi-client or managed-services setting.
• Demonstrated expertise in cloud and hybrid architecture Infrastructure as Code networking and client-specific infrastructure design.
• Strong knowledge of SRE high availability disaster recovery observability performance engineering and incident management.
• A track record of personally diagnosing and resolving complex production failures including the ability to explain how the root cause was identified and what actions were taken during the critical first hour.
• Fluency with diagnostic tools and techniques such as profilers distributed tracing packet capture query plans load testing and operating-system-level investigation.
• A bias for action supported by examples of delivering effective fixes workarounds or technical decisions in ambiguous and time-sensitive situations.
• Strong knowledge of systems integration APIs data architecture database performance migrations and capacity planning.
• Experience designing CI/CD pipelines deployment automation and Infrastructure as Code as well as applying DORA metrics to improve software delivery.
• Experience incorporating security privacy and compliance requirements into architecture ideally in healthcare or another regulated industry.
• Sound commercial judgment and the ability to balance technical performance reliability delivery speed risk and TCO.
• Experience integrating AI or generative AI responsibly into solutions or operational processes is a strong asset.
• Influential technical leadership strong mentoring abilities intellectual curiosity and a commitment to continuous learning.
• Excellent communication skills including the ability to explain complex technical situations clearly and concisely to clients executives Sales and other non-technical audiencesparticularly during live incidents.

Language requirement

• Bilingualism (French and English) is mandatory as the person will work with documentation and communicate with French- and English-speaking clients partners and colleagues.

Additional Information :

Why join LGI 

• A workplace built on trust autonomy and collaboration 
• The opportunity to grow perform and work alongside curious and talented colleagues 
• A continuous learning culture with dedicated training time a renowed skills development platform and access to cutting-edge tools 
• Stimulating projects that advance healthcare technology and support the work of over 320000 professionals benefiting more than 6 million patients
• A comprehensive benefits package including group insurance from day one a group RRSP with employer contributions 24/7 telemedicine an employee and family assistance program and a minimum of 3 weeks vacation per year 

At LGI Healthcare Solutions we value diversity and equal access to employment. 

Remote Work :

No

Employment Type :

Full-time