Backend Engineer - GenAI Team (Remote, ROU)

Position Overview

• Location Type: Not Specified
• Job Type: Full time
• Salary: Not Specified

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day. We have 3.44 PB of RAM deployed across our fleet of C* servers - and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

Join CrowdStrike's GenAI Hub team to help build and scale our rapidly growing internal Generative AI platform that serves over 8,000 active users across the company. You'll develop robust backend services powering our comprehensive GenAI ecosystem - from retrieval-augmented generation systems and inference load balancing to autonomous agents and model orchestration frameworks. Our platform is both a direct productivity tool for everyday use and a foundation for teams to develop their own AI-powered solutions and agentic applications.

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 environment where engineers are expected to own delivery of work with complete autonomy and trust. The team follows a startup mentality with weekly planning sessions and checkpoints, emphasizing quick execution without compromising quality. You'll collaborate closely with our data science team, UX designers, product managers, and AI champions from across the organization.

What You'll Do

• Design and implement scalable cloud services using Go in a cloud-native environment
• Build reusable platform components and frameworks that other teams can leverage for their GenAI and agentic AI use-cases
• Develop and operate secure LLM deployments in both cloud and on-prem environments
• Create deep integrations with internal enterprise systems and establish frameworks for future connectors
• Build high-performance data processing pipelines for document handling and retrieval-augmented generation
• Engineer agentic workflows and autonomous agent capabilities that can perform complex tasks with minimal human intervention
• 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, including on-call responsibilities
• Drive innovation in the rapidly evolving Generative AI landscape

What You'll Need

• 5+ years of software engineering experience
• Genuine passion for Generative AI technologies and applications
• Strong proficiency in Go or any modern programming language for backend service development
• Deep understanding of cloud-native architectures and microservices
• Experience with AWS services (S3, Bedrock, Sagemaker, RDS)
• Practical knowledge of operating production services - CI/CD, monitoring (Grafana, Prometheus), and Kubernetes
• Strong grasp of multithreading, concurrency, and parallel processing
• Experience with LLM integrations and AI/ML platforms
• Knowledge of message queues and event-driven architectures
• Experience in designing, building and maintaining APIs aligned with industry standards
• Understanding of engineering best practices - code reviews, testing, resilient architecture
• Excellent problem-solving and debugging skills
• Strong written communication skills