Senior Software Engineer – Backend (Machine Identity Security, SaaS Control Plane)

CyberArk•Santa Clara, CA

9h•Hybrid

About The Position

CyberArk is seeking a Senior Software Engineer to join our Machine Identity Security team, focused on backend systems that power the control plane of our platform. In this role, you will design, build, and operate scalable backend services and APIs that enable secure machine identity and certificate lifecycle management at scale. You will work on distributed systems handling high request volumes, real-time interactions, and multi-tenant SaaS environments. This role is ideal for engineers who are strong in backend development and system behavior, and who want to work on complex, production-grade systems while growing their system design depth.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience
4–7 years of professional experience in backend software development
Strong experience building backend services and APIs using Java (primary); Go is a plus
Experience working with distributed systems and microservices architectures
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Solid understanding of system performance, concurrency, and scalability concepts
Experience working with production systems, including debugging and issue resolution
Experience integrating services with APIs, messaging systems, or data pipelines (e.g., Kafka)
Familiarity with containerization (Docker) and orchestration (Kubernetes)
Experience working with CI/CD pipelines and modern development workflows

Nice To Haves

Experience with identity, authentication, or security systems (SAML, OAuth, PKI, certificates)
Experience working in SaaS or multi-tenant environments
Exposure to infrastructure-as-code tools (Terraform, Ansible)
Experience working with high-throughput or real-time systems

Responsibilities

Design, build, and maintain backend services and APIs that power control plane functionality
Develop scalable, reliable services operating in distributed, cloud-native environments
Contribute to system design and architecture discussions, focusing on scalability, performance, and maintainability
Build integrations between the control plane and external systems (e.g., Terraform, Ansible, enterprise platforms)
Optimize backend services for performance, including latency, throughput, and concurrency
Troubleshoot and resolve production issues across distributed systems and services
Work closely with product, platform, and security teams to deliver new capabilities
Participate in code reviews and contribute to improving engineering quality and standards
Support CI/CD pipelines, deployment processes, and system reliability improvements