Software Engineer

Summary

Skyflow secures the flow of sensitive data across datastores, models, and agents as a runtime AI data control layer for enterprises. The Backend Software Engineer will design and develop Privacy APIs and scalable backend infrastructure, integrate with internal and third-party data platforms, and ensure reliable, secure, low-latency, and high-throughput systems.

Responsibilities

• Responsible for designing and developing Privacy APIs and backend infrastructure to support large-scale data and privacy workflows
• Own integration with third party and internal data platforms (e.g data warehouses, REST/GraphQL services, message queues)
• Ensure system reliability, performance and maintainability
• Contribute to performance engineering efforts and ensure low-latency and high-throughput transactions at scale
• Participate in building and implementing effective test strategies and developing software with high-agility and zero downtime
• Collaborate with engineering, product and infrastructure teams

Skills

• Proficient in one or more programming languages like Go (preferred), Java, C, C++, Python
• Experience with cloud platforms (GCP, AWS or Azure)
• Experience in performance engineering: developing high-throughput, low-latency systems
• Familiarity with data systems (e.g. Bigquery, Snowflake, Kafka)
• Deep understanding of algorithms, data structures, scalability, and distributed systems
• Solid understanding of RESTful design, event driven systems, and security best practices
• Experience with continuous integration, writing testable code, and test-driven development
• Traits such as being a fast learner, adaptable to changing landscape and most importantly a strong believer in being hands-on

Qualifications

Must Haves

• Proficient in one or more programming languages like Go (preferred), Java, C, C++, Python
• Experience with cloud platforms (GCP, AWS or Azure)
• Experience in performance engineering: developing high-throughput, low-latency systems
• Familiarity with data systems (e.g. Bigquery, Snowflake, Kafka)
• Deep understanding of algorithms, data structures, scalability, and distributed systems
• Solid understanding of RESTful design, event driven systems, and security best practices
• Experience with continuous integration, writing testable code, and test-driven development
• Traits such as being a fast learner, adaptable to changing landscape and most importantly a strong believer in being hands-on

Benefits

• Work from home expense (U.S., Canada, and Australia)
• Excellent Health, Dental, and Vision Insurance Options (Varies by Country)
• Vanguard 401k
• Very generous PTO
• Flexible Hours
• Generous Equity