Professional summary
Building systems that remain reliable under pressure.
Experienced in Python development, Kubernetes, API integrations, infrastructure as code, performance engineering, production debugging, observability, capacity planning, and multi-region architecture.
Experience
Staff Site Reliability Engineering Professional
IBM · Markham, ON · Band 7 · Promoted October 2025
- Primary SRE contact for a strategic enterprise customer generating approximately 85 million API calls per week, leading architecture discussions and production reliability decisions.
- Supported production troubleshooting across 50+ Kubernetes environments, diagnosing application, DB2, node, load-balancer, DNS, TLS, routing, and firewall failures.
- Architected a dual-environment, multi-region design using global load balancing, automated failover, and DB2 HADR for near-zero interruption during regional failover.
- Managed capacity and performance against a 99.9% availability SLO by tracking error rates, latency, compute resources, replicas, and node capacity.
- Led critical incidents, disaster-recovery events, root-cause reviews, and corrective-action planning while mentoring engineers during North American operating hours.
- Built Instana and Grafana observability dashboards and used distributed tracing, application logs, metrics, SQL, and network diagnostics to resolve production issues.
- Designed automation for cross-account Ansible Tower inventory transfer and used reviewed AI-assisted workflows for incident analysis, Ansible, and Python automation.
Site Reliability Engineering Professional
IBM · Markham, ON · Band 6
- Operated isolated single-tenant Kubernetes environments and multi-tenant clusters supporting healthcare, banking, insurance, and airline workloads.
- Designed Python developer tools used by the SRE team to retrieve kubeconfigs, switch clusters across cloud accounts, and support production diagnostics.
- Developed a multithreaded Python API testing platform with configurable concurrency, payload size, request volume, rate, and automated reports.
- Built shared Ansible automation across development, test, and production, reducing selected operations from up to an hour to a few minutes.
- Created one-click diagnostic tooling that reduced distributed log collection from more than 30 minutes to approximately 2–3 minutes.
- Executed blue/green deployments and multi-region disaster-recovery exercises without customer downtime.
DevOps Engineer Intern
Oracle · Toronto, ON
- Built configuration-driven Terraform for Oracle Cloud networks, subnets, security groups, Kubernetes clusters, and virtual machines.
- Developed Python automation for controlled production Kubernetes upgrades while maintaining service availability.
- Created GitLab CI/CD pipelines that built and tagged Docker images and published them to JFrog Artifactory.
Education
Honours B.Sc. in Computer Science
Minor in Statistics · Graduated with Distinction
University of Toronto, St. GeorgeTechnical capabilities
Programming & automation
Python, Bash, SQL, Java, JavaScript, C++
Cloud & platform
Kubernetes, OpenShift, Docker, IBM Cloud, Oracle Cloud, Linux
Infrastructure as code
Ansible, Terraform, configuration-driven provisioning
Software delivery
ArgoCD, GitLab CI/CD, JFrog Artifactory, Helm, YAML pipelines, blue/green deployments
Observability
Prometheus, Grafana, Instana, SLOs, error budgets, distributed tracing, alerting
Architecture & reliability
Distributed systems, high availability, disaster recovery, multi-region architecture, performance and capacity planning
Data & integrations
DB2, DB2 HADR, PostgreSQL, REST APIs, OAuth, SAML, secrets management