Linux • Production Support • DevOps Operations • Automation
I’m a production-focused Support Engineer with 6+ years across healthcare SaaS, global e-commerce, embedded systems, and data automation. I specialize in Linux systems, log analysis, SQL diagnostics, Python/Bash automation, incident response, and customer-facing technical ownership.
Infrastructure & Linux Systems Engineer
Edmonton, Alberta • Remote across Canada
$ incident --triage --prod
status: logs + metrics + customer impact under review
$ grep -i "error\|timeout\|failed" /var/log/app.log | tail
finding: recurring integration failures isolated
$ python automate_healthcheck.py --service api
result: repeat checks standardized, signal improved
$ rca --format 5-whys
output: preventable cause + owner + runbook updateExperience
I’ve worked where downtime matters: healthcare imaging infrastructure, commerce platform support, authentication flows, database latency, integrations, VPN/network issues, and live incident bridges.
Support SaaS platform integrations, authentication workflows, payment systems, and API-related issues in an SLA-driven environment. Reproduce defects, write structured escalations, and improve knowledge base workflows.
Delivered infrastructure and backend support across 20+ hospital environments. Investigated Linux services, PostgreSQL/Sybase issues, PACS/RIS workflows, DICOM/HL7 routing, monitoring alerts, and Code Blue incident bridges.
Supported embedded manufacturing systems, cloud backup platforms, wireless/IP network components, and operational diagnostics across customer environments.
Built 100+ Python-based web scrapers and automation utilities using pure Python, Scrapy, Dragline, Selenium, Redis, XPath, and Pandas for large-scale data extraction and validation workflows.
Selected case studies
These are not classroom projects. They reflect real troubleshooting, automation, support ownership, and system thinking from production environments.
During an Intelerad weekend on-call shift, a healthcare client was preparing to move from test into live production when remote login failed. With limited weekend support and no direct access, I coordinated with the client infrastructure engineer, guided diagnostics, isolated a legacy test-phase cron job consuming resources, and helped reroute essential services to keep the deployment moving.
Critical imaging system go-live, remote access failure, limited escalation coverage.
Guided client-side Linux diagnostics, checked resource usage/processes, reviewed cron configuration, backed up and disabled the problematic job.
System stabilized, access recovered, and the client continued the production deployment.
At Turbolab, I built reusable scraping and data automation workflows from scratch for Amazon and other large websites, using pure Python plus Scrapy, Dragline, Selenium, Redis, XPath, and Pandas.
Supported regulated healthcare imaging workflows across hospital environments, including routing queues, modality connectivity, database growth, storage pressure, auditing, backups, and monitoring alerts.
Support merchant-facing SaaS issues involving platform integrations, authentication workflows, payment behavior, API-related symptoms, and cross-functional defect escalation.
Technical stack
I am strongest where Linux operations, support engineering, automation, observability, and customer communication intersect.
Linux, Ubuntu, CentOS, Windows Server, SSH, systemctl, cron, journalctl, production debugging
Python, Bash, shell pipelines, Scrapy, Dragline, Selenium, awk, sed, grep, operational scripts
PostgreSQL, MySQL, Sybase, SQL query diagnostics, Redis, Pandas, data extraction workflows
Grafana, production alert triage, RCA, 5-Whys, incident bridge coordination, runbooks
TCP/IP, DNS, VPN, Zscaler, GlobalProtect, nmap, SSH, connectivity debugging
Zendesk, Jira, ServiceNow, Confluence, Git, CI/CD fundamentals, technical documentation
How I work
I don’t just close tickets. I reproduce the problem, inspect evidence, isolate what changed, fix what I can, escalate with context when needed, and document the path so the next incident is easier to detect and prevent.
Recruiter quick scan
Let’s connect
I’m based in Alberta and open to remote roles across Canada.