Cloud API Developer, Cyberhaven
+ Stock options
Data detection & response platform
Job no longer available
Data detection & response platform
101-200 employees
Job no longer available
+ Stock options
101-200 employees
Company mission
To safeguard the flow of data in the digital economy so that creators maintain ownership and attribution of their work.
Role
Who you are
- 4 years+ experience in backend code development
- 2+ years experience using Rest APIs from relevant SaaS service providers (Google Drive, Office 365, Dropbox, Box, Salesforce, Slack, etc.) . We are looking for experience using such APIs at scale
- Good knowledge of algorithms and data structures
- Good knowledge of distributed system design
- Experience with Golang is a plus, but not a strict requirement
- Availability to frequently communicate with a distributed engineering team in Central European and US Eastern time zones
What the job involves
- We are looking to hire the first engineers to develop the cloud services part
- As such, this role will cover research into what is feasible to do with existing APIs, as well as seamless integration with our existing endpoint-oriented product
- Build connectors in Golang using Rest APIs to monitor and protect data in cloud applications at scale
- Build functionality end to end, from the early specification phase to testing and monitoring
- Research APIs provided by cloud services and identify the potential for integration in our product
- Work with product management to fine-tune specifications and scheduling
- Mitigate risks through defensive coding, logging and monitoring
- Build out and lead a team
Our take
Cyberhaven is a data detection and response (DDR) platform, blending risk management, cloud access security, and traditional DLP solutions to provide enterprises with robust data protection. As the landscape of data handling evolves, Cyberhaven's SaaS solution offers visibility into sensitive data across cloud and on-premises environments, disrupting the DLP industry.
Founded in 2016, Cyberhave has seen accelerated growth under the leadership of CEO Howard Ting, a marketing veteran. Recent strategic hires from McAffee and Microsoft bolster its senior management team, enhancing its capability to innovate in data protection. With ongoing advancements in its technology, Cyberhaven aims to solidify its position as a premier data security partner in the market.
Cyberhaven recently raised $88M in a Series C funding round. This funding, driven by a 200% increase in new bookings, underscores investor confidence in Cuberhaven's data protection innovations, fueling its expansion of products, global reach, and advancement in data lineage technology and AI capabilities.
Steph
Company Specialist at Welcome to the Jungle
Insights
63% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jun 2024
$88m
SERIES C
Dec 2021
$33m
SERIES B
Total funding: $138.5m
Company benefits
- Remote-friendly culture
- 100% paid health benefits for you and your family
- Flexible time off
- Potential fast-tracked career advancement opportunities
Company HQ
Evergreen Park, Palo Alto, CA
Leadership
Howard Ting
(CEO, Not Founder)Joined Cyberhaven as CEO in 2020 after serving as the CMO at Redis Labs, ZScaler, and Nutanix.
Vitaly Chipounov
(Co-Founder)Doctor of Philosophy and Computer Science at Ecole Polytechnique Fédérale de Lausanne, where they built S²E – a platform for multi-path in-vivo analysis of complex software systems. They turned this into commercial software at Cyberhaven.
Cristian Zamfir
(Co-Founder)Computer Science PhD at Ecole Polytechnique Fédérale de Lausanne. Inventor of Execution Synthethis, a celebrated method which automates the debugging of concurrent software.
Volodymyr Kuznetsov
(Co-Founder & CTO)Doctor of Philosophy and Computer Science at Ecole Polytechnique Fédérale de Lausanne, where they researched ways of using program analysis and instrumentation to solve cyber security problems.
Radu Banabic
(Co-Founder)Obtained a PhD from Ecole Polytechnique Fédérale de Lausanne, after developing tools and approaches that automatically find bugs and vulnerabilities in large systems such as Apache HTTP, MySQL, BIND, or PBFT. Won the IBM PhD Fellowship Award for this research.
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