Production Engineer

Almost every company in the world today is using cloud services (AWS, GCP, Azure), but companies struggle in understanding what data they are storing and where. This is where Cyera comes in! Cyera scans entire customer environments in minutes and provides immediate insights into what cloud assets exist, the data they hold, and alerts if sensitive data is exposed. Our service lets IT security teams actually locate and remediate data exposure issues, so to eliminate the next big data leak.

As we grow in operational scale, we offer an amazing opportunity to join our engineering team as a key member responsible for Cyera’s production stability and service delivery. This is a highly impactful position which requires attention to details and can-do attitude. If you find this relevant to you, don’t hesitate and join us!

Key Responsibilities:

Monitor and maintain Cyera’s production channels and respond to alerts
Troubleshoot and resolve technical issues related to production processes promptly
Work closely with monitoring and alerting systems and take ownership of incident handling
Learn the codebase and apply bug fixes where appropriate
Monitor production performance metrics and implement measures to enhance overall system performance
Become a technical expert and provide answers to questions from product stakeholders
Create and maintain comprehensive documentation for production processes and configurations
Occasionally be required to provide on-call for timely response to production issues outside of regular business hours

Requirements:

Requirements:

Background in NOC, Monitoring, or Production Support roles
Hands-on experience with monitoring, alerting, and incident management systems
Strong troubleshooting and root-cause analysis skills in production environments
High technical orientation with a strong desire to grow into an engineering role
Basic to strong programming or scripting skills (TypeScript / NodeJS – advantage)
Ability to work under pressure and manage multiple incidents simultaneously
High level of proactiveness
Strong motivation for learning and growth

Advantage:

Computer science degree or equivalent
Proven experience in a QA, production engineering, or related role
Solid understanding of production systems, networking, and infrastructure
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes, Kafka)
Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP)