Skyflow hiring Software Engineer - Fullstack • Remote (Work from Home) | Himalayas
SkyflowSK

Software Engineer - Fullstack

Skyflow is a data privacy vault company that radically simplifies how businesses isolate, protect, and govern their customers' most sensitive financial, healthcare, and personal data. It provides a global network of data privacy vaults via a simple API to help companies securely implement LLMs and meet complex data localization requirements.

Skyflow

Employee count: 51-200

India only

Skyflow is a data privacy vault company built to radically simplify how companies isolate, protect, and govern their customers’ most sensitive data. With its global network of data privacy vaults, Skyflow is also a comprehensive solution for companies around the world looking to meet complex data localization requirements. Skyflow currently supports a diverse customer base that spans verticals like fintech, retail, travel, and healthtech.

Skyflow is headquartered in Palo Alto, California and was founded in 2019. For more information, visit www.skyflow.com or follow on X and LinkedIn.

About the role:

As a Fullstack Engineer, you will be responsible for being a versatile developer who works on both the frontend and backend of applications, ensuring seamless integration and functionality across the entire technology stack. This position will collaborate often with various internal and external business and engineering teams. You will also have an opportunity to eventually lead efforts to champion and instill a culture of Fullstack at Skyflow.

We know great Fullstack Engineers come from diverse backgrounds so no single individual may have all the desired skills on day one. But if you are the kind of software engineer who would have loved to engineer solutions for Stripe or Twilio API's, or the Slack or Zendesk app, or the Snowflake or MongoDB platform - we want to talk to you.

Desired Qualifications:

  • 3+ overall years hands-on experience as a Fullstack Engineer or a similar role.

  • Have experience in building production full-stack software with Node.js and/or working with complex React applications.

  • Experience with GraphQL.

  • Knowledge of RESTful and GraphQL API design and implementation.

  • Familiarity with CI/CD pipelines, cloud platforms, and containerization tools (Docker, Kubernetes).

  • Working knowledge of GitHub, Jenkins and automated test tools

  • Test-driven development and writing well-tested code

Responsibilities:

  • Architect and implement robust Full-stack systems.

  • Enhance system performance and reliability through optimization.

  • Develop and maintain server-side logic, ensuring high performance and scalability.

  • Build and optimize APIs (RESTful, GraphQL) to facilitate seamless frontend-backend communication.

  • Proactively identify and propose new, alternative technology to create scalable implementations and achieve results.

  • Understand and follow engineering conventions, architectures, and best practices.

  • Collaborate with cross-functional teams and clients to deliver robust cloud-based solutions that drive best-in-class experiences to Skyflow customers

  • Be a thought leader and key contributor within our Engineering team and help build a Engineering culture

Benefits:

  • Work from home expense

  • Excellent Health Insurance Options

  • Flexible Hours

  • Generous Equity

At Skyflow, we believe that diverse teams are the strongest teams. We invite applicants of all genders, races, ethnicities, nationalities, ages, religions, sexual orientations, disability statuses, educational experiences, family situations, and socio-economic backgrounds.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

India +/- 0 hours

About Skyflow

Learn more about Skyflow and their company culture.

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Skyflow was founded in 2019 with a mission to radically transform how businesses handle their users' financial, healthcare, and other personal data – the critical information that powers the digital economy. Many customers face significant challenges in maintaining compliance and protecting personally identifiable information (PII). Often, PII can become dispersed across various storage systems, making robust security and compliance difficult to manage. Furthermore, the increasing adoption of Large Language Models (LLMs) often occurs without adequate data protection mechanisms, putting compliance, security, and privacy at risk. Skyflow addresses these challenges by providing a data privacy vault delivered via a simple and elegant API. This allows companies to isolate, protect, and govern their customers' most sensitive data.

Our customers need to ensure that sensitive data is stored and utilized safely and securely. Skyflow's zero trust Data Privacy Vaults, inspired by those pioneered by companies like Apple and Netflix, enable businesses to protect sensitive data without sacrificing its usability for critical operations such as analytics, marketing, and customer support. This means companies can focus on their key features and innovate faster. With Skyflow, sensitive data is isolated and protected in a vault, and fine-grained governance controls determine who has access to what data, when, where, and for how long. This is crucial as regional data privacy and security bills are emerging globally, making it difficult for companies to keep up, especially as they expand into new markets. Skyflow helps organizations meet complex data localization requirements and securely implement LLMs. By preventing sensitive data from entering AI models in the first place, Skyflow simplifies and secures the adoption of generative AI. Our platform supports nearly a billion records of user data for global customers and processes more than two billion API calls quarterly, helping businesses like GoodRx, Lenovo, and Hippocratic AI.

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Skyflow

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