Cyberark Staff software engineer - ARS 

Israel 

737083124

In this role you will be using AWS serverless architecture, AWS CDK & Python to design, develop, test, secure & deploy services from planning to production. You will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.

• Bachelor’s Degree in Computer Science or Engineering related field / technology Elite unit alumni with relevant experience

• 7+ years of experience in Python / Go / Java / C++ (Python is a definite advantage)

• 3+ ofexperience in developing and deploying modular cloud-based systems on
AWS

• Proven experience with creating architecture for cloud-based systems, considering scalability, security, and performance

• Have experience leading the design, development and delivery of features in SaaS applications

• Participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability, and performance

• Be passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo

• An independent, proactive nature, coupled with an internal drive for excellence and improvement

• Explore new technologies and tools to keep us using cutting edge solutions

• Passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo

• A thorough and methodical approach to any task, with the ability to plan, conduct, prioritize, track, and measure processes

• Excellent communication skills and the ability to coach others

• Proactive by nature; internal drive for excellence and improvement

• Experience with AWS serverless architecture and AWS CDK.

• Experienced with modern CI/CD tools, in particular, GitHub, Jenkins, and Artifactory

• Experience in enterprise scale application development in cloud/SaaS environment (AWS serverless architecture is a definite advantage)

• Solid understanding of security and networking implementation and best practices