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.
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
Bonus Points:
Existing exposure to Go, AWS, Cassandra, Kafka, Elasticsearch
Experience with Language Models, Data Science, Data Engineering
Prior experience in the cybersecurity or intelligence fields
Familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)
UI/UX design experience
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Benefits of Working at CrowdStrike:
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.
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