{"id":3304586,"url":"https://alion.io/job/spyrosoft-azure-devops-engineer-senior-3","title":"Azure DevOps Engineer (Senior)","company":{"id":933,"name":"Spyrosoft","domain":"spyro-soft.com","url":"https://alion.io/company/spyrosoft","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"A","score":92,"open_postings":82,"ghost_share":0,"stale_share":0.537,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-30T05:48:23Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Łódź, Poland","Kraków, Poland","Białystok, Poland","Gdańsk, Poland","Gdynia, Poland","Wrocław, Poland","Szczecin, Poland","Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":92000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":129},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"OpenAI","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-09T13:07:11Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-30T11:51:09Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Tech Stack:\nMicrosoft Azure\n\nMicrosoft Foundry (formerly Azure AI Foundry)\n\nAzure OpenAI Service\n\nAzure AI Search\n\nTerraform / Azure Bicep\n\nAzure DevOps\n\nCI/CD\n\nAzure Virtual Networks (VNets), Private Endpoints, Private DNS\n\nMicrosoft Entra ID, RBAC, Managed Identities\n\nAzure Key Vault\n\nAzure Storage\n\nAzure Monitor, Log Analytics, Application Insights\n\nInfrastructure as Code (IaC)\n\nMessage Queues & Asynchronous Communication\n\nRequired Qualifications:\nGood understanding of enterprise integration and distributed processing patterns, including integration with workflow and delegation platforms, message queues, asynchronous communication, high-volume data processing and large-scale log ingestion and analysis.\nStrong hands-on experience with Microsoft Azure, particularly in cloud infrastructure provisioning, configuration and maintenance.\n\nPractical experience with Microsoft Foundry (formerly Azure AI Foundry), Azure OpenAI Service, Azure AI Search, including provisioning, configuration and integration with Azure OpenAI.\n\nStrong knowledge of Infrastructure as Code (IaC) using Terraform and/or Azure Bicep.\n\nHands-on experience with Azure DevOps CI/CD pipelines and automated infrastructure deployments.\n\nGood understanding of Azure networking concepts and services, including VNets, Private Endpoints, Private DNS and network security.\n\nSolid knowledge of Azure identity and security, including Microsoft Entra ID, RBAC, Managed Identities and Azure Key Vault.\n\nExperience with Azure Storage and related cloud services.\n\nFamiliarity with observability solutions such as Azure Monitor, Log Analytics and Application Insights.\n\nUnderstanding of the AI application lifecycle, including automated deployments, monitoring, maintenance and operational support.\n\nVery good command of English, both spoken and written.\n\nNice to Have:\nExperience supporting production-grade AI/GenAI applications hosted on Microsoft Azure.\n\nExperience designing secure and scalable cloud environments for AI workloads.\n\nFamiliarity with DevOps/MLOps practices and automation across the AI Software Development Lifecycle.\n\nUnderstanding of enterprise-level cloud security, governance and operational best practices.\n\nExperience working in large-scale digital transformation or financial services environments.\n\nExperienced in using AI tools in day-to-day workflow.\n\nProject Description:\nThe project is delivered for one of the world's leading international insurance and financial services groups, operating across multiple markets and serving millions of customers globally.\nThe organisation is undergoing a large-scale digital transformation with a strong focus on cloud technologies, automation, artificial intelligence and the modernisation of core business systems.\nThe initiative focuses on designing, provisioning and maintaining secure, scalable and reliable Microsoft Azure infrastructure supporting AI-powered solutions and intelligent automation.\nA key part of the project is establishing the infrastructure, automation and operational capabilities required to support the end-to-end AI Software Development Lifecycle, from environment provisioning and configuration through automated deployment to monitoring and ongoing maintenance of AI-enabled applications. The solution landscape also involves integration with enterprise platforms and high-volume, distributed processing scenarios, making scalability, reliable asynchronous communication and observability important aspects of the environment.\nScope of Services:\nDesign, provision and maintain secure and scalable Microsoft Azure infrastructure for AI-powered applications.\n\nBuild and configure environments based on Microsoft Foundry, Azure OpenAI Service and Azure AI Search.\n\nProvision and configure Azure OpenAI models and integrate AI services with supporting Azure infrastructure.\n\nDevelop and maintain reusable Infrastructure as Code using Terraform and/or Azure Bicep.\n\nDesign and implement automated infrastructure deployment processes using Azure DevOps CI/CD pipelines.\n\nConfigure Azure networking components, including VNets, Private Endpoints, Private DNS and appropriate network security controls.\n\nImplement identity, access and secrets management using Microsoft Entra ID, RBAC, Managed Identities and Azure Key Vault.\n\nConfigure storage and supporting Azure services required by AI-enabled applications.\n\nEstablish monitoring and observability using Azure Monitor, Log Analytics and Application Insights.\n\nBuild and maintain scalable integration capabilities for enterprise and AI workloads, including asynchronous processing, messaging, high-throughput data flows and centralised processing of application and infrastructure logs.\n\nSupport integrations with enterprise workflow and delegation platforms, ensuring reliable communication and data processing across distributed systems.\n\nSupport automated deployment, monitoring, troubleshooting and operational maintenance of AI applications.\n\nCollaborate with software engineering, AI and platform teams to improve the reliability, security and automation of the AI development lifecycle.\n\nApply cloud engineering, DevOps and security best practices to ensure environments are maintainable, repeatable, 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