Senior Cloud Operations Engineer

 Posted 3 days ago
  
 Spain
  
5-10 years experience
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AI Summary

Own and operate the multi-cloud infrastructure powering the Agentic RAG product using GitOps and Infrastructure as Code. Lead the scaling of global Kubernetes environments and maintain secure, zero-trust networking and identity models.
We are Progress (Nasdaq: PRGS)  the trusted provider of software that enables our customers to develop, deploy and manage responsible, AI-powered applications and experiences with agility and ease. 
We're proud to have a diverse, global team where we value the individual and enrich our culture by considering varied perspectives because we believe people power progress. Join us as a Senior Cloud Operations Engineer and help us do what we do best: propelling business forward. 
 
At Progress, you’ll help build and run the cloud platform behind our next-generation Agentic RAG product operating at global scale and powering real-world AI experiences. This role is for a senior engineer who enjoys owning complex systems end to end, shaping how infrastructure is designed, secured, and operated across multiple clouds. You’ll work hands-on with modern cloud, Kubernetes, and GitOps practices, collaborate closely with product and engineering teams, and have a direct impact on the reliability, scalability, and security of an AI-powered platform used by customers worldwide. 
 
In this role, you will:
  • Own and operate the cloud infrastructure that powers Progress Agentic RAG across multiple cloud providers and regions.
  • Design and run production-grade, multi-cloud platforms using Infrastructure as Code and GitOps principles.
  • Lead our GitOps-driven infrastructure workflows, ensuring reliable, secure, and auditable changes.
  • Operate and scale Kubernetes environments globally, supporting highly available, secure, and scalable workloads.
  • Enable platform and infrastructure delivery through modern CI/CD and automation practices.
  • Design and maintain secure, zero-trust networking and identity models across cloud and on‑prem environments.
  • Build and evolve monitoring, incident response, and operational readiness for a 24/7 production platform.
  • Collaborate with engineering, security, and product teams to continuously improve reliability and developer experience.
  • Mentor engineers and help define infrastructure standards, documentation, and best practices. 
Your background:
 
Technical skills 
  • Strong experience designing and operating cloud or platform infrastructure at scale, including high availability, security, and disaster recovery.
  • Deep hands-on expertise with Terraform and Infrastructure as Code.
  • Proven experience running Kubernetes in production (GKE, EKS, AKS), including scaling, security, and observability.
  • Experience with GitOps-based workflows and tools such as ArgoCD or similar.
  • Solid hands-on experience with AWS and/or GCP and their core networking, compute, storage, and identity services.
  • Experience building and maintaining CI/CD pipelines, ideally with GitHub Actions.
  • Good understanding of cloud networking and identity, including zero-trust concepts and workload identity.
  • Ability to automate operational tasks using Python/Go.
  • Proven experience architecting on-premises infrastructure and managing Kubernetes on bare metal.
  • Hands-on expertise in hybrid release management and artifact distribution for restricted environments. 
Professional skills 
  • Strong communication and collaboration skills in cross-functional, distributed teams.
  • Comfortable owning complex systems end to end and making decisions in production environments.
  • A proactive, automation-first mindset with a focus on operational excellence.
  • Willingness to mentor others and contribute to shared standards and documentation.
  • Comfortable working in a remote-first, global environment. 
Additionally, it would be beneficial if you have:
  • Exposure to cloud cost optimization and governance.
  • Experience with security posture or compliance tooling.
  • Familiarity with AI/ML infrastructure, including GPU-based workloads.
  • Contributions to open-source or community infrastructure projects. 
If this sounds like you and fits your experience and career goals, we'd be happy to chat.
 
Compensation
  • Generous remuneration package
  • Employee Stock Purchase Plan Enrollment
Vacation, Family, and Health
  • 23 vacation days annually
  • Birthday day off
  • Community service time off
  • International Women's Day - March 8 is an official holiday for all employees
  • Life and Medical Insurance

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