Who we are:
BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.
We are building a global team passionate about innovation and next-gen technology. BigID has been recognized for:
At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.
Who we seek:
We’re looking for a highly motivated and talented Software Engineer to join our Cloud group. As a Software Engineer, you’ll be responsible for driving the design and development of complex cloud-based software systems. You’ll work as part of a cross-functional team to deliver innovative software solutions to solve real-world, cloud-native problems.
What you’ll do:
What you’ll bring:
Advantages:
What’s in it for you?!
Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.
Our Values:
We look for people who embody our values - Care, Do, Try & Shine.
#LI-Hybrid
#LI-AT1
We’re committed to creating a culture of inclusion and equality – across race, gender, sexuality, and disability – where innovation and growth thrive, every voice is heard, and everybody belongs. Learn more about us here.
CPRA Employee Privacy Notice: CA
BigID is an E-Verify Participant.
BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control.
Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources
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