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CrowdStrike — 2011 жылы құрылған, соңғы құрылғыларды, сәйкестендіру деректерін, желілерді және бұлттық орталарды қорғауға арналған бұлттық құралдар әзірлейтін киберқауіпсіздік және SaaS компаниясы. Оның Falcon платформасы ұйымдарға күрделі кибершабуылдарды анықтап, тоқтатуға көмектесу үшін жасанды интеллектіні нақты уақыттағы көріну, қауіптерді анықтау және оларға әрекет ету мүмкіндіктерімен біріктіреді. CrowdStrike қызметі киберқауіпсіздік, басқарылатын анықтау және әрекет ету, сондай-ақ қолданбалы жасанды интеллект бағыттарын қамтып, жүйелері мен деректерінің қауіпсіздігін күшейткісі келетін бизнеске қолдау көрсетеді.
Senior Software Engineer, Charlotte AI — Bucharest Hybrid
Lead the development of production-grade agentic AI and cloud services for CrowdStrike’s cybersecurity platform. Build distributed systems, LLM integrations, and Agentic SOC capabilities in Bucharest.
Сипаттама
- Provide hands-on technical leadership across the architecture, development, and operation of backend microservices and AI-native platform capabilities.
- Build, deploy, and scale production agents and agentic systems spanning orchestration, tool use, planning, retrieval, memory, and human-in-the-loop workflows.
- Integrate hosted LLMs and support open-source and fine-tuned models with routing, fallback, and graceful-degradation strategies.
- Define and refine evaluation methods for agent quality, safety, and reliability.
- Scale model-serving and inference workloads while optimizing availability, throughput, latency, capacity, and cost.
- Develop and maintain data and MLOps pipelines for curation, evaluation, model adaptation, and production deployment.
- Implement protections against prompt injection, data leakage, unsafe tool use, and cross-tenant access.
- Set production-readiness standards covering SLOs, observability, tracing, testing, release controls, and incident response.
- Develop cloud solutions that detect and help counter targeted cyberattacks.
- Shape technical direction, lead design reviews, make architecture decisions, and contribute to production code through writing and review.
- Partner with engineering, product, data science, security research, and operations teams.
- Mentor engineers working across diverse technologies.
- Continuously enhance product architecture, knowledge models, user experience, performance, and reliability.
- Take ownership from development and testing through deployment, monitoring, and ongoing improvement.
- Work in a collaborative, agile environment centered on trust, learning, and customer outcomes.
Талаптар
- Bachelor’s degree in Computer Science or a related discipline, or equivalent practical experience.
- Hands-on experience building, deploying, and operating LLM-powered agents or agentic systems in production.
- Extensive software engineering experience, including technical leadership of complex, cross-team initiatives while remaining hands-on.
- Strong background in backend microservices, cloud platforms, data-intensive systems, and distributed-system principles such as partitioning, concurrency, consistency, fault tolerance, and horizontal scaling.
- Experience incorporating language models into production software and accounting for differences among models and providers.
- Experience evaluating and diagnosing non-deterministic AI systems across quality, safety, latency, cost, and reliability.
- Strong programming ability in Go, Python, or a comparable language, with readiness to work across Go and Python services.
- Deep knowledge of engineering practices including testing, peer review, secure design, resilient architecture, and production observability.
- Ability to make sound technical trade-offs, communicate clearly, and influence engineering direction across teams.
- Ability to succeed in a test-driven, collaborative, and iterative engineering environment.
- Demonstrated record of delivering dependable, high-quality software that is tested, reviewed, continuously integrated, and operated in production.
- Team-oriented approach with a commitment to mentoring and developing fellow engineers.
- Demonstrated use of AI technologies to improve decision-making, streamline workflows and processes, increase efficiency, and deliver business outcomes.
- Experience with Go (Golang), Python, Docker, Kubernetes, AWS, Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI), Redis, S3, EC2, IAM, Kafka, Git, Cassandra, Elasticsearch, LLM APIs, open-source model ecosystems, PyTorch, Hugging Face, agent orchestration, evaluation and observability tools, and GPU-based inference or model-serving technologies.
- Preferred experience includes LLM fine-tuning, deployment of open-source or fine-tuned LLMs, preference optimization, reinforcement learning from feedback, model distillation, cybersecurity or intelligence, open-source contributions, applied research, or technical publications.
Артықшылықтар
- Compensation and equity awards positioned as market-leading.
- Comprehensive programs supporting physical and mental wellness.
- Competitive vacation and holiday allowances for time to recharge.
- Paid parental and adoption leave.
- Professional development opportunities available to employees at every level and across roles.
- Employee networks, local neighborhood groups, and volunteer opportunities that support connection.
- Vibrant office environment with high-quality amenities.
- Great Place to Work Certified™ globally.
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