We use technical cookies and visit statistics: Yandex Metrica and Zorky's own de-identified visit log (cookie zk_aid). We never collect form contents, search text or full IP addresses, and never sell data. Opt out with the button below, or with Global Privacy Control or Do Not Track in your browser. More about cookies and statistics.
Zorky CRMZorky CRM
EN|RU
@termdocs
← All jobs

DevOps Engineer

seniorhybridMafra, BRScore 65/100today
Market insights
📊 DevOps / SRE: salaries and demand on the market
Stack
NetworkSecuritySQLPythonUse CasesArtificial Intelligence (AI)DataStage (ETL)ETLProvisioningCI/CDawsazure
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →
Description
DevOps Engineer Job Overview As DevOps Engineer, you will build and operate the cloud foundation for the Central AI team and AI Hubs. Your mission is to ensure AI use cases, agents, data products, and platform components are reliable, scalable, secure, and production-ready. This hands-on role requires collaboration with various teams to design and automate cloud-native infrastructure, with a strong focus on Azure, while also supporting selected AWS-based workloads. Main Responsibilities Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services. Create reusable infrastructure, deployment, observability, and environment patterns. Automate provisioning, configuration, CI/CD, monitoring, logging, secrets management, and cost controls for AI workloads. Support cloud architecture decisions for agentic workflows and model integrations. Collaborate with security and data protection teams to ensure compliance with standards. Work with local teams to onboard environments and troubleshoot deployments. Continuously improve platform reliability and operational maturity. Key Requirements Experience with cloud-native development and deployment, particularly in Azure. Strong hands-on experience with infrastructure automation (IaC) and CI/CD. Solid engineering skills in Python, SQL, and optionally TypeScript. Experience in cross-functional, international teams. Understanding of enterprise data engineering concepts with hands-on exper
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @termdocs