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CrowdStrike

Sr. Software Engineer - GenAI Team (Remote, ROU)

Posted Yesterday
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Remote or Hybrid
Hiring Remotely in România
Senior level
Remote or Hybrid
Hiring Remotely in România
Senior level
Design and implement scalable cloud services using Go, build reusable components, develop secure LLM deployments, and engage with internal users for requirements.
The summary above was generated by AI

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 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.

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 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

Required Skills:

  • 6+ years of software engineering experience

  • Strong proficiency in Go 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

Essential Qualities:

  • 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

Preferred Qualifications:

  • 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

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Benefits of Working at CrowdStrike:

  • Remote-friendly and flexible work culture

  • 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

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.

Top Skills

AWS
Cassandra
Ci/Cd
Elasticsearch
Go
Grafana
Kafka
Kubernetes
Prometheus

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