About the Role:
Join CrowdStrike's GenAI Hub team to help build and scale our internal Generative AI platform. You'll develop robust backend services that power AI-driven solutions across CrowdStrike, from RAG-based knowledge retrieval to complex agentic workflows. Our platform serves thousands of CrowdStrikers daily, enabling both individual productivity and integration of GenAI capabilities into customer-facing products.
About the Team:
You'll join a high-performing team of experienced engineers building CrowdStrike's central GenAI platform. We operate in a fast-paced, startup-like environment where autonomy, ownership, and quick delivery are valued. Our team embraces the "One Team, One Fight" motto, collaborating closely with other engineering teams, data scientists, PMs, UX designers, and stakeholders across the globe.
What You'll Do:
Design and implement scalable backend services using Go in a cloud-native environment
Build reusable platform components and frameworks that other teams can leverage for their GenAI use-cases
Develop and operate secure LLM deployments in both cloud and on-prem environments
Create deep integrations with internal systems and establish frameworks for future connectors
Build high-performance data processing pipelines for document handling and RAG implementations
Engage directly with internal users across departments to understand requirements and provide technical consultation
Own features end-to-end, from design through deployment and operation
Drive innovation by staying current with the rapidly evolving AI landscape
What You'll Need:
6+ years of software engineering experience
Strong proficiency in Go or similar backend languages
Deep understanding of cloud-native architectures and microservices
Experience with AWS services and cloud infrastructure
Practical knowledge of operating production services - CI/CD, monitoring (Grafana, Prometheus), and Kubernetes
Strong grasp of multithreading, concurrency, and parallel processing
Experience building and maintaining REST APIs
Understanding of engineering best practices - code reviews, testing, resilient architecture
Excellent problem-solving and debugging skills
Strong written and verbal communication skills
Bonus Points:
Self-starter mentality with proven ability to drive projects independently
Comfortable managing multiple competing priorities in a fast-paced environment
Proactive in identifying and solving technical challenges
Strong collaboration skills for working with diverse stakeholders
Ability to make technical decisions with incomplete information
Interest in AI/ML technologies and staying current with GenAI developments
Experience with LLM integrations or AI/ML platforms
Knowledge of vector databases and RAG implementations
Understanding of message queues and event-driven architectures
Background in enterprise SaaS products
Experience with cybersecurity products
Track record of mentoring other engineers
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