Skyflow
Software Engineer
United States, Remote. Posted 3 months ago
The role
You will design and develop Privacy APIs and backend infrastructure to support large-scale data and privacy workflows. You will also own integrations with third party and internal data platforms and ensure system reliability.
What you will do
- Designing and developing Privacy APIs and backend infrastructure
- Owning integration with third party and internal data platforms
- Ensuring system reliability, performance and maintainability
- Contributing to performance engineering efforts for low-latency and high-throughput transactions
- Building and implementing effective test strategies
- Developing software with high-agility and zero downtime
- Collaborating with engineering, product and infrastructure teams
- Enforcing best practices in software quality, security, testing and documentation
Required qualifications
- Proficient in one or more programming languages like 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
- Fast learner
- Adaptable to changing landscape
- Strong believer in being hands-on
Nice to have
- Go
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
About the company
Skyflow secures the flow of data across datastores, models, and agents. The company is headquartered in Palo Alto, California and was founded in 2019.