About the role
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. 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 Role: CrowdStrike is looking for a Sr. Software Engineer to join our growing Generative AI Research Center. As a Senior Software Engineer you will play a pivotal role in designing, developing, and optimising advanced algorithms and systems that power our Generative AI platforms. You will work closely with data scientists, engineers and product managers to create innovative solutions that address complex challenges and deliver tangible value to our customers. This role offers an exciting opportunity to work on the forefront of AI technology, cybersecurity and shape the future of creative computing. CrowdStrike is a computer security company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers. If you are a hands-on engineer who loves technical challenges and wants to operate at scale, apply & let's talk!
What You'll Do: Lead the design and implementation of scalable, high-performance software systems for Generative AI applications. Collaborate with data science team and other engineering teams to translate cutting-edge algorithms and models, including Large Language Models (LLMs), into production-ready software solutions. Optimise algorithms and workflows to improve performance, efficiency, and scalability, leveraging LLMs where applicable. Conduct code reviews, provide technical guidance, and mentor other engineers to ensure code quality and best practices. Construct and maintain data pipelines, engage in data upkeep, and contribute to the training and automation of all aspects of the lifecycle of LLMs. Stay updated on the latest advancements in AI research and technology, including developments in LLMs, and apply them to enhance our Generative AI engineering capabilities. Contribute to architectural decisions and technical strategy to drive innovation and maintain competitive advantage, incorporating LLMs where suitable. Research, develop, and implement cybersecurity measures to safeguard our Generative AI systems against potential threats, including those specific to Generative AI. Collaborate with engineering team to assess risks, implement security best practices, and ensure compliance with industry standards and regulations, particularly in the context of LLM usage. Own your work with autonomy, end to end: develop, test, deploy and monitor your changes. Thrive in an environment that highly values trust. What You'll Need: Bachelor's degree in Computer Science or related STEM field; Prior work experience with big data and microservices Strong proficiency in at least one of the three programming languages Go (Golang), Rust or Python. Experience building and deploying scalable, distributed systems (i.e. sharding, partitioning, concurrency, etc.) in cloud environments (e.g. AWS). Excellent problem-solving skills, with the ability to analyze complex issues and propose effective solutions. Strong communication skills and the ability to collaborate effectively with multidisciplinary teams. Proven track record of delivering high-quality software products in a fast-paced, agile environment. Tech Stack (not mandatory to know everything; a robust learning capacity is essential): Go (Golang) Python Rust Docker Kubernetes AWS Redis / S3 / EC2 / IAM Kafka GIT Cassandra ElasticSearch
