Sr. Cloud Infrastructure Engineer (Cloud)

TL;DR

Sr. Cloud Infrastructure Engineer (Cloud): Designing, building, and operating scalable cloud platforms across AWS, Azure, and Google Cloud with an accent on infrastructure automation, Kubernetes operations, reliability, and security. Focus on modernizing legacy systems, migrating workloads to cloud-native architectures, reducing operational toil, and solving complex distributed infrastructure issues.

Location: Prague, Czechia

Company

hirify.global develops data, automation, and AI solutions that help organizations improve business decision-making and operational efficiency.

What you will do

• Design, build, and operate secure, reliable, and scalable multi-cloud infrastructure across AWS, Azure, and Google Cloud.
• Develop reusable infrastructure-as-code modules and automate cloud provisioning, access controls, networking, secrets management, upgrades, and lifecycle operations.
• Build and support Kubernetes platforms using EKS, Google Kubernetes Engine, Helm, Argo CD, and service mesh technologies.
• Improve CI/CD workflows and migrate legacy infrastructure, applications, and operational processes to cloud-native architectures.
• Investigate complex issues across cloud services, Kubernetes, networking, operating systems, and deployment pipelines.
• Lead technical initiatives, review designs and infrastructure code, mentor engineers, and participate in incident response and root cause analysis.

Requirements

• At least five years of professional engineering experience, including three or more years in cloud infrastructure, platform engineering, DevOps, or SRE.
• Strong experience with a major public cloud platform and working knowledge of multi-cloud infrastructure.
• Production experience with Terraform or a comparable infrastructure-as-code framework, CI/CD platforms, and automated infrastructure delivery.
• Hands-on experience operating Kubernetes platforms and deploying applications or platform components with Helm.
• Experience migrating legacy systems or traditional data center workloads to cloud-based or cloud-native platforms.
• Strong knowledge of cloud networking, IAM, encryption, secrets management, observability, infrastructure security, troubleshooting, and production reliability.

Nice to have

• Experience with Terragrunt, GitLab CI/CD, Argo CD, Teleport, Linkerd, TypeScript, or Go.
• Experience designing cloud landing zones, provisioning organizational accounts or projects, and implementing governance controls.
• Experience migrating virtual machine workloads to containers or Kubernetes.
• Knowledge of cloud cost optimization, capacity management, disaster recovery, business continuity, or regulated environments such as PCI, SOC 2, ISO, HIPAA, or FedRAMP.
• Experience supporting multi-region SaaS platforms and globally distributed engineering teams.

Culture & Benefits

• Work on data, automation, and AI products used to improve business decision-making.
• Collaborate across Product Engineering, SRE, Security, Networking, Compliance, and platform teams.
• Support for professional growth and a growth mindset across career stages.
• Commitment to diversity, equity, inclusion, and varied professional backgrounds.
• Employment is subject to compliance with U.S. export control requirements.