Top Internships

Leads a team researching and evaluating AI, LLM, and agentic systems for cybersecurity workflows. Defines evaluation strategies, benchmark datasets, metrics, methodologies, and reproducible testing pipelines grounded in SOC operations. Assesses model accuracy, robustness, reliability, and operational effectiveness across incident response, threat hunting, alert triage, and investigations. Partners with engineering, product, and threat research teams to translate findings into improvements and communicates results to technical and executive stakeholders.

Lead design and build of an AI-native marketing platform: integrations, multi-agent orchestration, UIs, tooling, analytics, CI/CD, auth/multi-tenancy, and production AI agents to automate marketing workflows and drive adoption across teams.

Designs and maintains large-scale production infrastructure across Linux servers, virtual machines, hypervisors, and datacenters. Administers OpenStack and VMware environments, develops automation using Python, Go, and PowerShell, troubleshoots hardware and infrastructure issues, and participates in on-call incident response. The role also supports networking, configuration management, documentation, post-mortems, and AI-enabled workflow improvements.

Design, build, and maintain on-prem Kubernetes and virtualization environments, automate infrastructure (IaC, IaaS), maintain CI/CD pipelines and repos, troubleshoot incidents, perform code reviews and documentation, and lead platform improvements for large-scale production systems.

Operate and evolve internal Temporal infrastructure on Kubernetes: deploy updates, automate operational tasks, tune performance and capacity, build observability, participate in on-call incident response, troubleshoot production issues, and help onboard internal teams while growing platform engineering skills.

Drives HR operational excellence through process redesign, SLA and KPI analysis, system and knowledge management, requirements gathering, UAT, governance, and continuous improvement. Partners with HR stakeholders to improve service delivery, employee experience, and operational scalability. Supports HR program rollouts, M&A integrations, global entity expansions, Workday data conversions, employee communications, and benefits transitions. Requires strong HR operations, analytics, transformation, stakeholder management, and AI experience.

Design, build, and support high-throughput, low-latency LLM inference and data pipelines; collaborate with data scientists to post-train and evaluate models; implement scalable, production-ready systems with strong testing, monitoring, and performance focus; mentor engineers and iterate on architecture, reliability, and user-facing AI applications.

Drive federal and DoD sales within an assigned region by developing pipeline and account plans, building executive relationships, closing software/security deals, collaborating with cross-functional teams and partners, forecasting, and using Salesforce to track opportunities to exceed quota.

Develop and scale the LogScale backend to handle massive ingestion and query loads. Design and deliver platform-level initiatives, write automated tests, monitor production, troubleshoot customer issues, and collaborate cross-team on architecture and documentation. Serve as a technical leader and LogScale expert, balancing short-term delivery with long-term product goals.

Sell CrowdStrike’s cybersecurity platform to commercial and mid-market or enterprise customers in Ontario. Own the complete sales cycle from prospecting through closing, generate net-new business, manage quota and forecasts, collaborate with channel partners and internal sales teams, and present value to executive and security or IT leadership. The role requires consultative selling, competitive market knowledge, technical aptitude, AI-enabled workflow improvement, and occasional customer travel.