DevOps Engineer (Senior)

O projekcie: Tech stack: - Azure: Container Apps / App Service / Functions, VNet, API Management, Key Vault, Blob Storage - Identity & Security: Azure Entra ID (SSO, MFA, RBAC), Entra ID B2C, WAF - Data: Azure SQL (Serverless), SQL Server - IaC & Containers: Terraform, Docker - Observability: Azure Monitor, Log Analytics, Application Insights - AI: Azure AI Studio, Azure OpenAI, Azure AI Search - Integrations: REST, OpenAPI - DevOps: Git, CI/CD Project description: The project focuses on building components of an AI‑powered platform that optimizes the full field‑work lifecycle, transforming dispersed data into actionable business insights. The solution is based on a modular Azure architecture with a controlled RAG layer, ensuring auditability, data sovereignty, and seamless integration with existing systems. About Spyrosoft Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries. Wymagania: - Strong experience working with Microsoft Azure cloud environments - Hands‑on experience with Entra ID (SSO, MFA, RBAC) - Experience with Azure SQL and SQL Server, including query optimization - Knowledge of Docker and Infrastructure as Code (Terraform) - Experience designing and maintaining cloud‑based architectures - Integration experience using REST APIs and OpenAPI (contracts, versioning, documentation) - Strong understanding of application security principles (data isolation, encryption, auditability) - Experience with monitoring and observability in distributed systems - Very good English skills (spoken and written) - Ability to clearly communicate technical concepts Nice to have: - Experience with Azure AI services and AI‑powered platforms - Knowledge of data warehouses - Experience with generative models and RAG‑based architectures - Familiarity with Azure networking and security services - Background in scalable, enterprise‑grade platforms - Experienced in using AI tools in day-to-day workflow Codzienne zadania: - Design, build, and maintain Azure‑based cloud infrastructure - Support and evolve a modular, secure, and scalable platform architecture - Implement and maintain CI/CD pipelines and infrastructure automation - Ensure system reliability, performance, and observability - Work on integrations with internal and external systems - Apply security best practices across infrastructure and applications - Collaborate closely with engineering and product teams