Top Internships

Build and improve the Enterprise AI operating model through AI-enabled processes, operational reporting, knowledge management, stakeholder forums, intake governance, and asset registry oversight. The role translates complex program information into executive narratives, coordinates decision-making, enables cross-functional alignment, and continuously improves planning, prioritization, governance, communication, and execution mechanisms.

Provides proactive technical account management for strategic cybersecurity customers. Responsibilities include customer onboarding, platform training, health checks, issue resolution, escalation management, success planning, knowledge-base development, renewal-risk mitigation, and expansion support. The role serves as a customer advocate while collaborating with support, engineering, and sales teams. Candidates need cloud, application infrastructure, security, incident response, forensics, networking, and cloud architecture expertise, along with strong communication and customer-success skills.

Designs and maintains large-scale production infrastructure across Linux, Windows, VMware, OpenStack, Docker, and Kubernetes environments. The role administers bare-metal servers and virtual machines, develops automation using Python, Go, and PowerShell, troubleshoots hardware and virtualization issues, and supports incident response through an on-call rotation. Responsibilities also include technical architecture, networking, configuration management, documentation, post-mortems, and applying AI tools to improve operational workflows.

Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, enforcing security and compliance, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires extensive infrastructure and data engineering experience across cloud platforms, containers, data security, and workflow orchestration.

Build and maintain CrowdStrike’s golden-image platform and automated pipelines across Linux, macOS, and Windows. Develop Python automation for image builds, validation, drift detection, and testing; manage infrastructure as code with Ansible, Packer, and Terraform; integrate Jenkins, GitLab CI, and Artifactory; and support image lifecycle operations. The role includes troubleshooting production issues, security hardening, compliance collaboration, documentation, cross-team partnership, and participation in on-call rotations.

Executes procure-to-pay activities, including requisition processing, purchase order creation and maintenance, vendor onboarding, quote comparison, routine negotiations, and invoice discrepancy resolution. Manages procurement queues and SLAs, maintains audit-ready records, supports contract reviews and compliance, and provides reporting on open POs, aging requisitions, and cycle times. Partners with stakeholders, suppliers, Accounts Payable, Legal, and senior procurement team members while identifying process improvements and using AI to streamline workflows.

Build globally distributed identity threat detection systems for hybrid and multi-cloud environments. Design Kafka-based real-time detection pipelines, pluggable rule engines, machine-learning and LLM-driven detection capabilities, and customer-facing alerts. Own production observability, latency SLOs, rollouts, and incident response while collaborating with security researchers. Work across Python, Go, and Java services using distributed databases, caches, and cloud technologies.

Provides technical sales leadership for cloud security solutions across enterprise accounts. Advises sales teams, customers, and partners; integrates CrowdStrike technologies with AWS, GCP, Azure, Kubernetes, and OpenShift; develops reference architectures, enablement materials, and training; supports solution selling and technical problem resolution; communicates customer needs to engineering and presents cloud security expertise at conferences and marketing events.

Design and build data services and pipelines supporting machine learning products. Develop automation tools for model deployment, maintain production data systems, improve infrastructure, participate in code reviews, and collaborate across engineering, data science, and product teams. The role requires expertise in distributed systems, large-scale data processing, CI/CD, container orchestration, and AI-enabled workflow improvements.

Lead customer deployments of platform services from pre-kickoff through closure. Manage project plans, schedules, budgets, resources, risks, documentation, and technical teams. Coordinate with customers, sales, product, support, engineers, and consultants to ensure high-quality delivery. Apply Agile and waterfall methodologies, conduct post-implementation reviews, and use AI technologies to improve workflows and decision-making. Strong SIEM knowledge, particularly in security-focused IT projects, is required.