About Us:
In today’s world, where data spreads across various clouds and devices, traditional security measures aren’t enough. Businesses need a dynamic approach to defend against constant cyber threats and ensure agile data security. Fortanix leads the way in data-centric cybersecurity for hybrid multicloud environments, using advanced cryptography, encryption, and confidential AI solutions.
As data breaches become more frequent and traditional defenses fall short, we focus on data exposure management to keep your information safe. Our unified data security platform addresses vulnerabilities in hybrid multicloud environments, defends against threats, and makes it easier to discover, assess, and fix data exposure risks. Whether implementing a Zero Trust model or preparing for the post-quantum computing era, we help businesses worldwide protect their most sensitive data, wherever it is.
Our commitment to solving the world’s toughest data security challenges has earned Fortanix multiple Cybersecurity Excellence and Innovation Awards, as well as recognition from industry giants such as Microsoft, Intel, ServiceNow, and Snowflake.
Our team includes industry leaders and cryptography experts, creating a culture of trust, innovation and collaboration where every voice is valued. Recognized as a Great Place to Work, we’re looking for passionate individuals to help us shape the future of data security and work towards a safer digital future.

REQUIREMENTS

Fortanix is looking for a Staff Software Engineer that would be responsible for the following responsibilities:

• Designing and building microservices for our secure Generative AI platform.
• Working closely with the data science team to enhance LLM (Large Language Model) performance through data engineering.
• Working directly with the ML Infrastructure and Platform teams to identify opportunities to further improve and optimize the tools and solutions.
• Applying best practices for security, performance, and reliability.

SKILLS/REQUIREMENTS:

• At least 8+ years of professional experience:
• At least 3-5 years of hands on experience in Rust, C/C++ or Python.
• End-to-End experience building web-scale applications or microservices.
• familiarity with CI/CD and deployment infrastructure.
• Experience with cloud technologies such as AWS/GCP/Azure.
• At least 4 years of hands on experience with container technologies like docker.
• Hands on experience with Kubernetes.
• Has hands-on experience working with NoSQL databases such as Cassandra, MongoDB etc.
• Proven experience with Linux system programming, builds and deployment.
• A bachelor’s or master’s degree in Computer Science, Information Systems, or related field, or equivalent training or work experience
• Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models) is nice to have.
• Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline is nice to have.

• Designing and building microservices for our secure Generative AI platform.
• Working closely with the data science team to enhance LLM (Large Language Model) performance through data engineering.
• Working directly with the ML Infrastructure and Platform teams to identify opportunities to further improve and optimize the tools and solutions.
• Applying best practices for security, performance, and reliability