Cyera is on a mission to protect one of the world's most critical resources: data.
Since our founding in 2021, we’ve grown fast—Cyera-fast—securing over $760 million in funding and establishing an international team. Today, Cyera is the most high-growth data security company in the world, trusted by leaders at organizations like Paramount Pictures and Mercury Financial. With a global presence and an unwavering commitment to innovation, Cyera empowers businesses to embrace data securely and confidently.
We are currently seeking an experienced DevSecOps Engineer to join our dynamic team. The ideal candidate will have a strong foundation in DevOps practices as well as a solid understanding of security principles as they relate to development and operational processes. This role is crucial for ensuring the integrity, confidentiality, and availability of our services across various cloud platforms including AWS, GCP, and Azure.
Key Responsibilities:
Requirements:
Why Join Us?
At Cyera, we care about collaboration, innovation, and agility. We take “teamwork” seriously—with our inclusive and supportive culture at the forefront—and we’re just as serious about nurturing Cyerans to grow, both personally and professionally.
Feel free to apply even if your experience doesn’t tick every box.
We’re building something special here—and we welcome Cyerans with diverse backgrounds, perspectives, and experiences.
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Cyera is the world’s leading AI-native data security platform. Its platform gives organizations a complete view of where their data lives, how it’s used, and how to keep it safe, so they can reduce risk and unlock the full value of their data, wherever it is.
Backed by more than $1.3 billion in funding from top-tier investors including Accel, Coatue, Cyberstarts, Georgian, Lightspeed, and Sequoia, Cyera’s unified data security platform helps businesses discover, secure, and leverage their most valuable asset - data - and eliminate blind spots, cut alert noise, and protect sensitive information across the cloud, SaaS, databases, AI ecosystems, and on-premise environments.