Tenchi Security
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Tenchi is a Cyber Security company building innovative technology focused on Third-Party Cyber Risk Management for businesses. Founded by serial entrepreneurs and supported by solid institutional investors, we are driven to disrupt this fast-growing industry.
Tenchi was created to tackle a real challenge: companies often face security risks because their third-parties don’t maintain the same level of cyber protection. This gap leaves even the largest organizations potentially vulnerable to incidents they can’t directly control. That’s exactly where we step in.
Our TPCRM SaaS solution, Zanshin, is the only global TPCRM solution that offers both inside-out and outside-in visibility - combining external attack surface monitoring with automated, continuous, and non-intrusive assessments of cloud infrastructure (IaaS, PaaS, SaaS) and security controls.
At Tenchi, we build innovative technology to help companies secure their ecosystems with transparency and peace of mind. We are ambitious and purpose-driven. Our culture is rooted in intentionality, transparency, and action. We move fast, communicate openly, and invest in people who want to make an impact.
As a 100% remote company with team members across Brazil, the US, Canada, Argentina, and Spain, we embrace flexibility while solving meaningful challenges together.
🎥 Want to know more about our DNA? Watch the video. https://www.youtube.com/watch?v=HK8J07hWv30&feature=youtu.be
We are seeking a versatile Backend Software Engineer with a strong interest and capability in Data Engineering to join our team. In this role, you won't be boxed into a single domain. Instead, you will act as a bridge between core backend application development and robust data infrastructure.
You are a great fit if you consider yourself a software engineer first, but you possess a deep appreciation for data pipelines, scalability, and distributed systems. You will design and build robust backend services while simultaneously shaping how our data is ingested, processed, and stored.
Collaboration: Work closely with product, analytics, and data science teams to understand data requirements and deliver production-ready software solutions.
Originally posted on Himalayas