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# Manager, Cloud Infrastructure Engineering

- **Company:** Jobgether
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software as a Service, Cloud Computing, Programming Tools, Reliability Engineering, Policy as Code, Multi-Cloud, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Cloud Optimization
- **Published:** August 12, 2026
- **Apply:** https://es.trabajo.org/oferta-4021-435fb1efa766cf713fa1069df1042653

## About the Role

for using AI in infrastructure operations, including automation, incident analysis, documentation, and operational improvements. - Balance immediate operational needs with long-term investments in platform evolution, cloud expansion, and infrastructure innovation. - Coach engineers, support professional growth, manage priorities, and create an environment where teams can perform at their best. - Drive improvements in observability, incident response, reliability practices, and infrastructure decision-making processes. Requirements: The ideal candidate is an experienced cloud infrastructure leader with a strong background in platform engineering, Kubernetes, and SaaS environments. You should be comfortable managing technical teams while remaining close to engineering challenges and emerging infrastructure practices. - 3-5 years of experience leading engineers who build and operate production infrastructure for SaaS products. - Strong technical background in cloud infrastructure
engineering, platform engineering, Site Reliability Engineering (SRE), or related disciplines. - Hands-on production experience with Kubernetes, including scaling, reliability management, and cluster lifecycle operations. - Experience working with multiple major cloud providers and understanding the challenges and trade-offs of multi-cloud environments. - Proven ability to collaborate with senior engineers and cross-functional stakeholders to deliver major infrastructure improvements. - Strong people leadership skills, including coaching, performance management, prioritization, and team development. - Experience improving infrastructure reliability, scalability, security, and automation practices. - Clear understanding of how AI can support infrastructure engineering workflows, with good judgment around responsible and effective adoption. - Experience with infrastructure-as-code, policy-as-code, platform automation, observability, incident management, or cloud cost
optimization is a plus. - Experience managing global or multi-region SaaS infrastructure is considered an advantage. Benefits: - Competitive, location-based compensation package with transparent salary structures. - Opportunity to receive equity participation through a company stock option program where applicable. - Fully remote working environment with flexibility to work from anywhere. - Home office budget and coworking space support to create an effective workspace. - Flexible time off policies designed to support work-life balance. - Opportunities to connect with colleagues through annual gatherings, team offsites, and community events. - Comprehensive health and wellbeing support, including mental health resources and lifestyle benefits where available. - Retirement and pension plans, along with life and disability insurance depending on location. - Annual learning and development budget for courses, certifications, books, and professional growth.

## Description

Infrastructure Engineering, you will lead the team responsible for building and operating cloud infrastructure that supports a global SaaS platform. You will combine hands-on technical expertise with strong leadership skills to improve reliability, scalability, security, and engineering effectiveness. - Lead and develop a team of engineers responsible for production cloud infrastructure, fostering a strong engineering culture and effective execution. - Guide the design, implementation, and evolution of Kubernetes-based, multi-cloud infrastructure environments. - Ensure infrastructure solutions meet high standards for reliability, scalability, security, and operational excellence. - Collaborate with product engineering, security, support, and engineering leadership teams to enable safe and efficient software delivery. - Improve infrastructure automation, developer tooling, and platform capabilities to support growth without unnecessary complexity. - Establish effective approaches


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