As the Cloud Solutions Team Leader (GCP / AWS) at WideOps, you will hold a senior, high-trust leadership position at the heart of our technical organization. Reporting directly to the CTO and working with him as a close strategic partner, you will lead our team of cloud architects and DevOps engineers, own the quality and consistency of our technical delivery, and serve as the senior technical authority for our most strategic clients and engagements.
This is a player-coach role that blends people leadership, high-level architectural design, and hands-on engineering. You will lead discovery calls with potential and existing customers, assess complex system requirements, identify emerging opportunities in the Generative AI (GenAI) space, and actively participate in practical engineering efforts alongside our delivery teams - while also representing WideOps technical leadership across the company and in the field whenever needed.
We are seeking an expert architect and proven team leader with deep, hands-on expertise in Google Cloud Platform (GCP) and/or Amazon Web Services (AWS), who is ready to take broad ownership and grow with the company.
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.
This position is open to all candidates.