About the Role
Join a world-class team of engineers who are passionate about building the next generation of AI infrastructure. Our team is working to provide the foundation for AI innovation at Kraken, building a robust, scalable, and secure platform that empowers data scientists and machine learning engineers to rapidly develop, deploy, and monitor AI models. We are seeking a Senior Staff Software Engineer to lead the design and implementation of critical components of our AI platform.
This is a remote position within the USA.
What you’ll do
- Architect, design, and implement scalable, reliable, and secure AI infrastructure components, including machine learning platforms, data pipelines, model serving systems, and experimentation frameworks.
- Lead and mentor other engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
- Collaborate with data scientists, machine learning engineers, and other stakeholders to understand their needs and translate them into technical requirements and solutions.
- Drive the adoption of best practices for software development, MLOps, and AI ethics.
- Evaluate and integrate new technologies and tools to enhance the capabilities and efficiency of our AI platform.
- Participate in on-call rotations to ensure the availability and performance of our AI infrastructure.
Who you are
- 8+ years of experience as a software engineer, with a focus on AI/ML infrastructure, distributed systems, or backend development.
- Strong proficiency in Python and experience with popular ML frameworks (e.g., TensorFlow, PyTorch).
- Expertise in designing, building, and operating scalable and reliable systems on cloud platforms (e.g., AWS, GCP, Azure).
- Experience with data processing technologies (e.g., Spark, Flink, Kafka) and data warehousing solutions.
- Deep understanding of machine learning concepts, algorithms, and best practices.
- Excellent communication, collaboration, and leadership skills.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Bonus points if you have
- Experience with Kubernetes, Docker, and other containerization technologies.
- Familiarity with MLOps tools and platforms (e.g., MLflow, Kubeflow).
- Experience in the cryptocurrency or fintech industry.
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