Note: The job is a remote job and is open to candidates in USA. 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
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
Company Overview
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