Software Architect

Claroty

. Drive the overall platform evolution by designing robust, distributed, cloud-native architectures for Claroty’s unified product suite .

Posted 11/9/2026full-timeIsraelSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing robust, cloud-native architectures and leading technical teams to drive AI integration and engineering excellence. Proven ability to translate complex requirements into actionable architectural roadmaps while ensuring system resilience and performance.

Highest-signal resume keywords

Cloud-Native Architecture DesignDistributed Systems ExpertiseAI Strategy DevelopmentKubernetes and Docker ProficiencyAgile and DevOps Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringArchitectural LeadershipMicroservices ArchitecturePython ProgrammingGo ProgrammingJava ProgrammingCloud Platforms (AWS, Azure, GCP)Container OrchestrationTechnical GovernanceProblem-Solving

Soft Skills

Analytical SkillsCommunication SkillsInfluencing SkillsMentoring SkillsCollaboration Skills

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Engineering

Industry Keywords

AI-Driven WorkflowsEngineering ExcellenceTechnical Debt ManagementDesign ReviewsSystemic Bottlenecks

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesMicroservicesPythonGo

About the role

Key responsibilities & impact

Drive the overall platform evolution by designing robust, distributed, cloud-native architectures for Claroty’s unified product suite
Translate strategic business objectives and complex requirements into architectural roadmaps and high-level technical solutions
Establish and champion architectural standards, technical governance, and engineering excellence across development teams
Conduct rigorous design reviews
Identify and eliminate systemic bottlenecks, technical risks, and technical debt
Ensure mission-critical resilience, security, and performance
Mentor engineering teams and evaluate emerging technologies
Lead strategic adoption and integration of AI across the department
Establish AI-driven workflows and best practices

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
8+ years of experience in software engineering, with at least 3 years in an architecture or technical leadership role
Proven expertise in designing and scaling complex distributed systems, cloud-native applications, and microservices architectures
Proficiency in modern programming languages such as Python, Go, and Java, and frameworks
Solid experience with major cloud platforms including AWS, Azure, and GCP
Experience with container orchestration technologies including Kubernetes and Docker
Strong knowledge of Agile, DevOps, and modern software development best practices
Exceptional problem-solving, analytical, and communication skills
Ability to influence cross-functional teams and stakeholders
Hands-on experience transforming organizational processes using AI
Experience driving AI strategy and best practices

Benefits

Comp & perks

Details regarding the broader total rewards package will be shared prior to interviews
Variable compensation components such as equity or bonuses may be part of the broader total rewards package, but are excluded from the stated base salary