Engineering Manager - Cloud Systems

Location: Remote - Americas

Company

hirify.global is an ecommerce platform that enables entrepreneurs and enterprises to build and scale businesses, serving millions of merchants in 175 countries.

What you will do

• Lead, grow, hire, coach, and support a senior software engineering team, including engineers working across multiple regions and time zones.
• Set technical direction for compute, service discovery, internal routing, and egress routing systems in partnership with technical leads.
• Review code, contribute to design discussions, and pressure-test architectural decisions while staying engaged with hands-on technical work.
• Drive large, cross-cutting infrastructure projects, identify risks early, and restore execution when projects go off track.
• Own operational excellence, including on-call health, incident response, and lasting reliability improvements.
• Partner with ML Infrastructure on GPU capabilities and Day 2 operations, while shaping multi-cloud infrastructure, Kubernetes, and host OS platforms for VMs.

Requirements

• Track record of leading software engineering teams, ideally including senior and Staff-level engineers.
• Background in SRE, production engineering, or infrastructure platform work, with technical credibility to lead deeply experienced engineers.
• Hands-on experience running Kubernetes at fleet scale, such as GKE, EKS, or similar platforms.
• Strong understanding of cloud networking, including load balancers, gateways, service discovery, and service mesh.
• Solid foundations in distributed systems, operating systems, and networking.
• Experience operating production systems with on-call responsibilities and leading teams through incidents.
• Comfort managing teams distributed across multiple regions and time zones.
• Clear, direct communication and the ability to explain technical tradeoffs to engineers and leaders.
• High agency in ambiguous situations, including identifying and resolving problems independently.

Nice to have

• Experience with GPU or ML infrastructure.
• Infrastructure-as-code experience, especially Terraform.
• Multi-cloud experience, such as GCP and AWS.
• Experience building or operating Kubernetes control planes or host operating systems.
• Experience leading large-scale incident response and post-incident reviews.

Culture & Benefits

• Digital-first working environment with a distributed team.
• Work involves substantial change, complexity, ambiguity, and a fast pace.
• Emphasis on independence, critical thinking, candid feedback, resilience, and resourcefulness.
• AI-enabled tools may be used to screen, select, and assess applications, with outputs reviewed by the recruitment team.