Manager, Cloud Infrastructure Engineering [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Cloud Infrastructure Engineering based in Australia.

This role offers the opportunity to lead the engineering team responsible for the infrastructure powering a mission-critical SaaS platform.
You will combine technical leadership, cloud expertise, and people management to build reliable, scalable, and secure systems.
Working in a fully remote global environment, you will guide teams through complex infrastructure challenges while enabling faster and safer product delivery.
You will shape cloud architecture, automation practices, and operational standards that support business growth at scale.
The role sits at the intersection of engineering excellence, platform innovation, and responsible AI adoption.
You will have a direct impact on how modern cloud infrastructure is designed, operated, and continuously improved.

Accountabilities:

As a Manager, Cloud 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 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.
• Opportunity to work on impactful cloud infrastructure challenges within a global technology organization.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.