The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. We are looking for software engineers who will lead/participate in designing, prototyping, and development of new software products for data privacy. The successful candidate will have experience building distributed systems at cloud scale and delivering customer delight.
You will be collaborating daily with a brilliant team of engineers who are passionate about building high-quality enterprise solutions that will delight the customers.
Responsible for designing and developing encryption APIs to support large scale data and workflow security and privacy products.
Contribute to performance engineering efforts and ensure low latency and high throughput transactions at scale.
Participate in building and implementing effective test strategy including but not limited to safe code, automated testing, penetration testing, and ethical hacking.
Participate in the efforts of simplifying the world of cryptography, security, compliance, and privacy to non-technical internal and external stakeholders.
Contribute to building a world-class security and privacy engineering team
Deep understanding of encryption algorithms, technologies and state of the art standards
Experience with homomorphic encryption, lattice cryptography, secure multiparty computation or other advanced encryption technologies
Good understanding of infrastructural and application-level security threat vectors and ability to use the best of the breed approach to design and implement solutions.
Proven track record of delivering cloud-native distributed platforms at scale and with a meaningful adoption.
Success at Skyflow demands demonstrable cultural traits such as being a fast learner, adaptable to changing landscape and most importantly a strong believer in being hands-on.
Nice to haves
Good understanding of modern privacy expectations and compliance will be a plus.
Experience with zero-knowledge proofs, and building zero-trust systems.
Keeping up with ever-evolving cryptography standards and techniques.
Exposure to machine learning techniques and practices
Bachelors in Computer Science or related field. MS or Ph.D. in Security or Privacy related topics is preferred.
Relevant industry experience or advanced research experience