Note: The job is a remote job and is open to candidates in USA. CrowdStrike is a global cybersecurity company that uses an AI-native platform to protect organizations from breaches. The Senior Platform Engineer will build and operate secure, scalable cloud and platform infrastructure for internal AI agents and services, partnering with AI developers and cross-functional teams to productionize AI capabilities.
Responsibilities
- Build and Scale AI Infrastructure: Design, deploy, and operate production infrastructure supporting internal AI agents, services, and platforms across AWS and/or GCP, including compute, networking, storage, private connectivity, security controls, and runtime environments
- Own Infrastructure as Code: Build and maintain repeatable, secure cloud infrastructure using Terraform or equivalent Infrastructure-as-Code tooling, enabling consistent deployment across development, testing, and production environments
- Manage Containerized Workloads: Deploy and operate services using Docker, Kubernetes, and container-based runtime platforms, establishing scalable deployment patterns for AI services and agent workloads
- Build CI/CD and GitOps Workflows: Design and maintain automated build, test, deployment, and environment-management pipelines using technologies such as GitHub Actions, GitLab CI, Jenkins, ArgoCD, Flux, or similar tooling
- Implement Identity and Access Patterns: Partner with Identity and Security teams to implement secure authentication, authorization, secrets management, and machine-to-machine access using technologies and standards such as Okta, OAuth2, OIDC, Vault, IAM, and cloud-native secrets management
- Build Secure AI Gateway Infrastructure: Implement and operate API and AI gateway patterns that securely connect internal applications and agents to models, enterprise services, and external APIs
- Own Platform Observability: Build monitoring, logging, metrics, distributed tracing, and alerting capabilities using technologies such as OpenTelemetry, Prometheus, Grafana, Datadog, or equivalent platforms
- Productionize AI Services: Partner with AI engineers and developers to transform prototypes into secure, reliable, observable, scalable, and operationally supportable production services
- Engineer Cloud Networking: Design and troubleshoot networking patterns including VPCs, private endpoints, routing, security groups, service connectivity, and secure access between cloud and enterprise environments
- Enable Agent and MCP Infrastructure: Build and support the infrastructure required to securely deploy and operate AI agents, MCP servers, model integrations, and supporting services
- Improve Platform Reliability: Establish standards for availability, performance, scalability, deployment safety, rollback, environment management, and operational readiness
- Evaluate Emerging Technologies: Rapidly assess new AI infrastructure, cloud, security, gateway, and developer-platform technologies and determine how they can be safely incorporated into CrowdStrike’s enterprise environment
- Collaborate Across Teams: Work closely with AI Engineering, InfoSec, Identity, IT, Cloud, and other stakeholders to ensure new AI capabilities meet enterprise standards for security, reliability, scalability, and operational readiness
Skills
- 5+ years of hands-on experience in Platform Engineering, Cloud Infrastructure, DevOps, Site Reliability Engineering, Developer Infrastructure, or a closely related field, with meaningful ownership of production environments
- Strong hands-on experience designing, deploying, and operating infrastructure in AWS and/or GCP
- Production experience with Docker, Kubernetes, and containerized application deployment
- Hands-on experience provisioning and managing infrastructure using Terraform or another Infrastructure-as-Code framework
- Experience designing, building, or maintaining CI/CD and/or GitOps pipelines
- Strong understanding of cloud networking, including VPCs, private connectivity, routing, security groups, load balancing, and service-to-service communication
- Experience implementing identity, authentication, authorization, and secrets-management patterns using technologies such as IAM, Okta, OAuth2/OIDC, Vault, or cloud-native equivalents
- Experience implementing observability for distributed applications, including logging, metrics, tracing, monitoring, and alerting
- Strong scripting or software engineering skills in Python, Go, TypeScript, or similar languages, particularly for infrastructure automation, APIs, platform tooling, and integrations
- Experience troubleshooting complex production systems across infrastructure, networking, application, authentication, and deployment layers
- Strong understanding of modern software delivery and production operations, including automation, scalability, reliability, security, environment management, and operational support
- Ability to work effectively in a fast-moving R&D environment where requirements and technologies evolve quickly
- Strong communication skills and the ability to work across AI Engineering, Infrastructure, Security, Identity, and other technical teams
- Experience building or operating infrastructure supporting LLMs, GenAI applications, AI agents, or ML workloads
- Experience implementing or operating AI gateways, API gateways, model gateways, or model-routing infrastructure
- Familiarity with agent frameworks such as LangGraph, LangChain, Google ADK, or similar technologies
- Experience deploying or operating MCP servers and related agent integration infrastructure
- Familiarity with RAG architectures, vector databases, LLM evaluation, or agent orchestration
- Experience supporting enterprise AI platforms or integrating services such as Amazon Bedrock, Google Vertex AI, Azure OpenAI, or similar model platforms
- Knowledge of AI-specific security considerations, including agent identity, access controls, data protection, model access, and runtime guardrails
- Experience building internal developer platforms, self-service infrastructure, reusable deployment patterns, or paved-road engineering experiences
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
- Eligibility for bonuses
- Equity grants
- Health insurance
- 401k
- Paid time off
Company Overview
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