{"id":1727802,"url":"https://alion.io/job/nebuly-devops-engineer","title":"DevOps Engineer","company":{"id":2181012,"name":"Nebuly","domain":"nebuly.com","url":"https://alion.io/company/nebuly","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Turin, Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":50000,"max":72000,"currency":"EUR","period":"year","gross":null,"usd_annual":81111},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CloudFormation","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-07-09T13:38:07Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-10-06T23:06:30Z","board_verified":true,"closed_at":null,"days_open":89,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":89},"description":"Title: Infrastructure/DevOps/Cloud Engineer\nLocation: Turin, Italy (hybrid)\nReporting to: CTO\nBefore you apply: Nebuly is where the bar is high and the vision is bold-we move fast, think deeply, and push each other to build the future of AI products. If you’re ready to give your best, we’d love to hear from you.\nAbout Nebuly\nNebuly is a fast-growing, VC-backed startup building the platform that proves the ROI of enterprise AI.\nEvery enterprise function - sales, customer support, HR, finance - is deploying AI agents at scale, and budgets are following fast. But most companies can't answer a basic question: is this spend actually working? Every enterprise deploying AI agents is asking the same question: is this actually delivering value? Today, almost none of them can answer it. The signal that could answer it is right there - millions of conversations happening every day between employees, customers, and these agents - but it's unstructured, high-volume, and invisible without the right infrastructure. So the ROI question stays unanswered, not because the answer doesn't exist, but because no one can see it. Nebuly makes that signal visible. It sits on top of any enterprise AI deployment, turns those conversations into a clear answer - is this working, and where - and connects the dots back to ROI. Think of it as the accountability layer for enterprise AI: connect once, see the impact, prove the value - with no data ever leaving your environment.\nEvery new data category has created a new software category. CRM turned customer interactions into pipeline accountability. Product analytics turned user behavior into growth accountability. Nebuly is building that same layer for AI - turning millions of invisible conversations into a clear answer on value.\nOur customers include Oura, CNH Industrial, Vodafone, and Moncler. Demand is accelerating fast, and we're building the team to match.\nExamples of your daily responsibilities\nAs an Infrastructure/DevOps/Cloud Engineer at Nebuly, you will play a pivotal role in designing, building, and maintaining our robust and scalable cloud infrastructure. Join our dynamic team of experts who are passionate about leveraging cloud computing, Kubernetes (K8s), DevOps practices, and Infrastructure as Code (IaaC) to ensure a highly available and efficient environment for our SaaS web-based application. Your expertise will contribute to delivering reliable and scalable solutions while driving automation and efficiency across our infrastructure. Your responsibilities will include:\nDesign, implement, and manage our cloud infrastructure using leading cloud providers such as AWS, Azure, or Google Cloud Platform.\n\nDevelop and maintain Kubernetes (K8s) clusters, ensuring high availability, scalability, and efficient resource utilization.\n\nDrive Infrastructure as Code (IaaC) initiatives, leveraging tools such as Terraform for provisioning and managing cloud resources.\n\nMonitor and troubleshoot infrastructure performance, ensuring the reliability and availability of our systems.\n\nWhat we look for\nMinimum of 3 years of professional experience in infrastructure engineering, DevOps, or cloud engineering roles.\n\nStrong knowledge and hands-on experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.\n\nExpertise in Kubernetes cluster administration.\n\nExperience with Infrastructure as Code (IaaC) tools like Terraform or CloudFormation.\n\nStrong understanding of networking concepts, security best practices, and monitoring tools.\n\nFamiliarity with logging and monitoring tools such as ELK Stack, Prometheus, or Grafana.\n\nFamiliarity with scripting languages (e.g., Bash, Python) for automation and tooling.\n\nAbility to work collaboratively in cross-functional teams and communicate effectively.\n\nAbility to work in contact with customers teams\n\nProfessional experience in Python or Go\n\nStrong knowledge and experience with microservices architecture and building scalable systems.\n\nWhat we offer\nHigh-impact work in small, fast-moving teams. At Nebuly, you’ll work in small, entrepreneurial teams with a high degree of ownership and autonomy. Regardless of your seniority, your contributions will have a direct impact-from the earliest ideas to product launch. You’ll have the chance to build things from scratch and see your code evolve into real products used at scale.\nA platform for real growth. As more and more companies rely on our platform to understand and optimize their AI experiences, new challenges and opportunities emerge constantly. This means your role won’t stay static-you’ll keep growing with the product, facing new technical and strategic problems as we scale.\nCompetitive pay + equity. 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