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Description:
Develop a state-of-the-art SaaS solution to enable enterprises to govern and protect sensitive data
Contribute to performance engineering efforts for low-latency and high-throughput transactions at scale
Enforce best practices in software quality, security, testing, and documentation
Design and develop Privacy APIs and backend infrastructure for large-scale data and privacy workflows
Collaborate with security and privacy engineers to deliver cutting-edge privacy solutions
Requirements:
Proficiency in Golang (preferred), C/C++, Python, or other programming languages
Experience in performance engineering for high-throughput, low-latency systems
Deep understanding of algorithms, data structures, scalability, and distributed systems
Knowledge of privacy, authorization/authentication engineering is a plus
Familiarity with continuous integration, writing testable code, and test-driven development
Track record of delivering cloud-native distributed SaaS platforms at scale
Traits like being a fast learner, adaptable, and hands-on
Benefits:
Excellent Health, Dental, and Vision Insurance Options (Varies by Country)