Qsight is a high-growth division of Guidepoint focused on building data intelligence solutions for the healthcare sector. Qsight leverages proprietary datasets and rigorous analysis of alternative data sources to generate actionable insights for top-tier institutional investors, medical device manufacturers, and pharmaceutical companies. The Qsight team develops market intelligence products designed to be highly relevant, accurate, and scalable – delivering superior insights to a diverse, global client base.

We are seeking an experienced, motivated Tehnical Operations Engineer to join our growing team. You will own the administration and reliability of key tools, troubleshoot and resolve escalations with clear documentation, and build lightweight automation and reporting to reduce manual work as we scale. You will partner closely with Customer Success, Product, and Engineering to proactively monitor, support, and improve critical systems.

Through practical, creative problem-solving, you will strengthen reliability, accelerate time to resolution, and increase operational visibility. Day to day, you will triage and resolve client technical questions, manage vendor license administration and renewals, and produce reporting that informs operational decisions. This role is a launchpad toward an SRE/Platform Engineering track as you grow into deeper automation, reliability engineering, and systems design work.

This is a hybrid position based out of our Toronto office. Own routine ops and configuration changes for critical SaaS platforms – Including Tableau, Freshdesk, Datadog, and our own client facing and internal portals Automate manual operations with Python, PowerAutomate, and shell scripts – leveraging AI coding assistants where useful Build custom client activity dashboards and reports with basic SQL Partner with Engineering to plan, implement,



and maintain integrations Assist users with desktop setup and using our technology stack Collaborate with engineering on configuring telemetry data sources Coordinate with vendor support and internal IT to drive issues to resolution Contribute to reliability metrics (SLIs/SLOs) as our practices mature – with regular 1:1s with Engineering leadership to build toward this path Triage escalations from Customer Success Datadog, CloudWatch, Tableau) to accelerate Engineering/vendor resolution Help define alert thresholds and escalation paths for incidents Proactively identify recurring issues and drive them to permanent fixes (not just workarounds) Use AI tools to accelerate runbook creation, log triage, and issue reproduction Some extended availability until 8 pm ET as part of an on-call rotation/coverage plan Required Technical Qualifications: ~ Bachelor’s degree in computer science or equivalent ~Robust expertise with scripting and automation ~ Proficiency with Python and SQL ~ Proficient with AI tools (e.g. Demonstrated ability to work independently and in a team atmosphere with minimal supervision Strong focus on quality, attention to detail, and addressing client needs Interest in site reliability engineering, infrastructure-as-code, or systems programming Technical project management skills Additionally, this position is eligible for an annual discretionary bonus based on performance.

Powered by innovative technology, real‑time data, and hard‑to‑source expertise, we help our clients to turn answers into action. Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on‑demand intelligence and research on request. At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives.

We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. #105,000 - $145,000 CAD #

📌 Digital Technical Operations Engineer (Toronto)
🏢 Guidepoint
📍 Toronto