דרושים » מחשבים ורשתות » לחברה מובילה דרוש /ה Cloud Operations Engineer!

Were looking for a technology enthusiastic Team Leader to lead and evolve our global cloud and Kubernetes foundations. This role combines technical leadership, people leadership, and platform ownership, enabling hundreds of developers to deliver reliably and securely in a large-scale, regulated, multi-cloud environment. The Team Lead will own the day-to-day execution and continuous evolution of our platform capabilities, while aligning with broader architectural direction and organizational goals.
What you'll do:
Leadership & Management Responsibilities:
Lead a team of DevOps Engineers in building and maintaining high-performance, fault-tolerant, scalable cloud and Kubernetes platforms across AWS, GCP and private cloud
Collaborate closely with associate teams in the platform department
Oversee team's deliverables design and architecture for infrastructure automation
Coach and mentor your team - leading to success and meeting goals
Report your team's KPIs and performance metrics
Put focus on team professional and personal growth
Become the technical authority for your team by demonstrating a hands-on leadership style
Technical Leadership Responsibilities:
Create and maintain pipelines and automation strategies
Lead the automation of infrastructure layer for our private cloud and public cloud environments
Drive the development and integration of infrastructure tools in support of production systems
Oversee the automation of provisioning and configuration for Windows/Linux environments
Work closely with platform departments to streamline their working methods
Handle technical challenges like performance, scale, security, and live production issues
As a core member of the leadership team, participate in 'On-Call' duties on our company production systems, working in non-conventional hours including weekends and holidays (from time to time).

We are seeking a highly skilled and experienced DevOps Team Lead to join our dynamic team.
As the DevOps Team Lead, you will be responsible for leading and managing a global team of DevOps engineers, driving our cloud-native infrastructure, and ensuring the reliability, scalability, and security of our production environments.
Key Responsibilities:
Lead and manage a global team of 5 DevOps engineers, fostering collaboration, mentorship, and professional growth
Design, implement, and optimize cloud-native architectures using AWS services
Manage and scale our Kubernetes (K8S) clusters to support our microservices architecture
Drive the implementation of CI/CD pipelines and infrastructure-as-code practices
Ensure high availability, performance, and security of our production environments
Collaborate with development, product, and security teams to align DevOps practices with business goals
Continuously improve our DevOps processes, tools, and methodologies.

Were looking for a DevOps Team Lead to own how engineering ships, scales, and operates in production.
This is a high-impact role at the core of our platform-combining deep DevOps ownership with the opportunity to help build and operate our next-generation AI platform and Agentic Development Lifecycle (ADLC).
Youll lead a team of DevOps engineers (including off-shore), stay hands-on, and drive both operational excellence and the evolution of our platform toward data and AI-driven systems.
This role sits at the center of how our company builds and scales its platform-impacting every production system and how every engineer ships code.
Responsibilities
Lead and grow a DevOps team, setting a high bar for ownership, execution, and engineering excellence
Own the reliability, scalability, and operation of our AWS-based, distributed production environment serving millions of users in real time
Own how engineering ships to production - driving CI/CD, automation, and developer experience to enable fast, safe, and efficient delivery
Establish strong observability, performance, and incident response practices across distributed systems
Partner with R&D to support both production systems and evolving platform capabilities, including data pipelines, AI services, and agent-based workflows.