לוח משרות דרושים ניהול - מחשבים ורשתות עבודה היברידית, לחיפוש זה נמצאו 10 משרות

Requirements:
Requirements
4+ years of proven experience leading product teams, with a strong track record of growing people and helping them succeed.
Startup mindset: comfortable with ambiguity, fast growth, and evolving processes, while maintaining focus on scalable solutions.
Proven experience leading B2B products and collaborating with partners and strategic customers to deliver impactful solutions.
Strong technical orientation and curiosity, with the ability to quickly understand complex data systems.
Excellent communication and stakeholder management skills, able to explain complex technical concepts in clear, actionable terms.
Experience leading large-scale data platforms, including data ingestion, transformation, and access layers.
Ability to define and track success metrics, analyze performance, and iterate to optimize platform impact.

Advantages
Familiarity with healthcare data ecosystems (EMRs, HIEs, clinical data).

Requirements:
8+ years in DevOps, Site Reliability, or Platform Engineering, including experience managing a team lead or manager (not just individual contributors)
Deep expertise in at least one major cloud provider (AWS, Azure, or GCP), including networking, IAM, and cost management
Strong hands-on experience with Kubernetes, Terraform (or equivalent IaC), and modern CI/CD tooling
Working knowledge of security tooling (SIEM, EDR, IDS/IPS, vulnerability management) and compliance frameworks (SOC 2, ISO 27001, NIST)
Solid observability experience (metrics, logging, tracing) and a track record of owning incident response end-to-end
Strong people leader: coaches and grows managers, sets direction others can execute against, and represents DevOps and security credibly across the organization
Pragmatic and outcome-oriented, comfortable balancing technical depth with leadership responsibilities and defending trade-offs to non-technical stakeholders
Experience owning a budget: planning spend, prioritizing trade-offs, and reporting to leadership

Requirements:
Requirements & Qualifications:

Leadership Experience: 2+ years of experience leading technical teams (architects, DevOps, or engineering squads), including mentoring, task prioritization, and delivery accountability - ideally in a professional services or consulting environment.

Communication & Presentation: Outstanding verbal and written communication skills in English & Hebrew. Proven ability to conduct discovery calls and articulate sophisticated technical concepts to both engineering teams and non-technical business executives, and to represent the company at a senior level.

Cloud Platform Expertise: 5+ years of proven experience architecting, deploying, and managing complex production workloads on Google Cloud Platform (GCP) and/or Amazon Web Services (AWS), with deep knowledge of their core services (compute, storage, networking, databases).

Core Technical Foundations: Strong foundational knowledge of operating systems (Linux/Windows), virtualization environments, database architectures (SQL/NoSQL), and proficiency in scripting languages (such as Python and Bash) for automation and troubleshooting.

Modernization & Serverless Mastery: Practical experience implementing containerized solutions (Docker, Kubernetes/GKE/EKS) and serverless technologies (Cloud Run, AWS Fargate, ECS, Lambda, Cloud Run Functions).

Hands-On DevOps & IaC: Strong, hands-on background in DevOps practices. Expert-level knowledge of Infrastructure as Code (IaC) tools - specifically Terraform - along with deep experience in CI/CD pipeline construction.

Migration Experience: Proven track record of guiding enterprise migrations (re-hosting, re-platforming, and refactoring), particularly On-Prem to Cloud or cloud-to-cloud migrations (such as AWS to GCP).

Client-Facing Professionalism: A consultative, customer-centric mindset with strong analytical, scoping, and problem-solving abilities, and the maturity to own decisions independently under broad executive guidance.

AI/ML Familiarity: An understanding of the modern AI landscape, with the ability to identify opportunities where Generative AI can drive value for clients.

Education: Bachelor degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Preferred Advantages
Multi-Cloud experience: Hands-on architectural and deployment experience with both GCP and AWS.
Prior experience as a Team Leader, Delivery Lead, or Principal Architect in a cloud consulting / MSP / professional services company.
One of the following Professional-level cloud certifications:
- Google Cloud Professional Cloud Architect
- AWS Certified Solutions Architect - Professional
Deep expertise in FinOps methodologies and cloud cost allocation tools.