Infra Engineer Team Lead

Accountabilities

• Own end-to-end infrastructure: Lead the design, operation, and continuous improvement of infrastructure supporting self-hosted products, installation and onboarding workflows, SaaS platforms, and AI infrastructure.

• Manage multi-cloud environments: Oversee cloud infrastructure across AWS, Google Cloud Platform (GCP), and Microsoft Azure, including networking, compute resources, identity management, single sign-on (SSO), and security configurations.

• Lead infrastructure engineering initiatives: Guide technical projects, establish engineering priorities, and mentor team members while maintaining high standards of reliability, scalability, and operational excellence.

• Support customer deployments: Work directly with customers to facilitate infrastructure deployments, troubleshoot technical issues, and ensure successful installation and operation across diverse environments.

• Enable reliable product delivery: Collaborate with backend engineering, product, and R&D teams to support rapid feature development while maintaining production stability and service reliability.

• Automate operational workflows: Identify recurring manual tasks and operational bottlenecks, then develop automation, tooling, and processes that reduce toil and improve engineering productivity.

• Strengthen infrastructure security: Maintain and improve security practices across the infrastructure stack, including access controls, identity and authentication mechanisms, network security, and cloud-native security principles.

• Drive continuous improvement: Identify infrastructure risks, investigate complex technical challenges, and implement scalable solutions that improve performance, resilience, maintainability, and operational efficiency.

Requirements

• Infrastructure engineering experience: At least five years of hands-on experience in infrastructure engineering, platform engineering, or site reliability engineering (SRE), preferably within high-scale distributed systems and production environments.

• Technical leadership: At least two years of demonstrated experience leading software engineering initiatives, coordinating technical projects, and mentoring engineers in production environments.

• Multi-cloud expertise: Practical experience working with at least two major cloud providers: AWS, GCP, or Azure, including the deployment, management, and troubleshooting of cloud infrastructure.

• Networking and security knowledge: Strong understanding of cloud networking, security groups, identity and access management (IAM), single sign-on (SSO), OpenID Connect (OIDC), and modern cloud-native security practices.

• Ownership and problem-solving: A proactive mindset with a strong sense of accountability and the ability to identify issues, take initiative, and deliver effective solutions rather than simply escalating problems.

• Communication skills: Full professional fluency in both Hebrew and English, with the ability to communicate effectively with technical teams, customers, and other stakeholders.

• Kubernetes and cloud-native technologies (preferred): Deep knowledge of Kubernetes and Helm, including their underlying architecture and internal mechanisms, with the ability to troubleshoot, extend, and build upon these technologies.

• Go programming experience (preferred): Familiarity with Go and the ability to develop infrastructure tooling or contribute to cloud-native systems.

• Cloud cost optimization (preferred): Experience optimizing cloud resource utilization and costs, managing infrastructure efficiency, or working with products focused on infrastructure tooling and resource management.

• Collaborative leadership: The ability to work across engineering, product, and R&D functions, balance technical priorities, and promote a culture of continuous learning and operational excellence.

Benefits

• Remote work: Opportunity to work remotely from the United States.

• Technical ownership: Take responsibility for a broad infrastructure ecosystem spanning self-hosted deployments, SaaS platforms, and AI infrastructure.

• Engineering leadership: Lead important technical initiatives, mentor engineers, and influence infrastructure architecture and engineering practices.

• Innovative technology: Work on advanced cloud and AI infrastructure challenges, with opportunities to explore automation, distributed systems, and cloud-native technologies.

• Cross-functional collaboration: Partner with engineering, product, R&D, and customers to solve complex problems and deliver reliable infrastructure solutions.

• Operational impact: Drive improvements in scalability, reliability, security, and resource efficiency across critical production environments.

• Professional growth: Expand your expertise in multi-cloud architecture, infrastructure automation, platform engineering, and technical team leadership.