Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Crowdstrike SRL
About the Role:
Join CrowdStrike's GenAI 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 cloud services using Golang 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
- 3+ years of software engineering experience
- Strong proficiency in Golang or a similar backend language
- Deep understanding of cloud-native architectures and microservices
- Experience with AWS services and cloud infrastructure, including technologies such as Kafka, Cassandra, ElasticSearch
- Practical knowledge of operating production services - CI/CD, monitoring (Grafana, Prometheus), and Kubernetes
- Strong grasp of multithreading, concurrency, and parallel processing
- Experience in designing, 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
- 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
- Track record of mentoring other engineers
Key Skills
Ranked by relevanceReady to apply?
Join Undelucram.ro and take your career to the next level!
Application takes less than 5 minutes