{"id":3535227,"url":"https://alion.io/job/cit-senior-azure-cloud-platform-engineer-sre-brazil","title":"Senior Azure Cloud Platform Engineer / SRE, Brazil","company":{"id":957,"name":"CI&T","domain":"ciandt.com","url":"https://alion.io/company/ciandt","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":90,"open_postings":13,"ghost_share":0,"stale_share":0.538,"repost_share":0.077,"time_to_fill_p50_days":14,"computed_at":"2026-11-11T05:49:22Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Brazil"],"countries":["BR"],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":99000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3508},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Akamai","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Octopus Deploy","optional":false},{"name":"Okta","optional":false},{"name":"PCI DSS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SRE","optional":false},{"name":"Terraform","optional":false},{"name":"Vault","optional":false},{"name":"VPN","optional":false},{"name":"AI Agents","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true},{"name":"Windows Server","optional":true}],"status":"live","first_seen_at":"2026-10-30T14:49:38Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-11T10:17:46Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"The Senior DevOps / SRE engineer designs, builds and operates secure, resilient Azure platforms and production services. The role combines cloud platform engineering, site reliability engineering, infrastructure as code, CI/CD and software automation. The engineer works primarily with Terraform and\nBicep, develops automation and platform capabilities using .NET/C#, Python and PowerShell, and uses AI-assisted engineering tools such as Claude to accelerate delivery and troubleshooting while critically validating generated output.\nResponsibilities\nDesign, provision and maintain Azure landing zones, management groups, subscriptions, resource groups and shared platform services using Terraform and Bicep.\nEngineer Azure networking including hub-and-spoke VNets, NSGs, route tables, Azure Firewall, Front Door, Application Gateway/WAF, Private Link, Private DNS, VPN Gateway and ExpressRoute.\nBuild reusable Terraform and Bicep modules, manage remote state, perform plan/what-if validation, detect configuration drift and promote infrastructure changes through pull-request review and approvals.\nBuild and maintain CI/CD and release automation using Azure DevOps Pipelines and/or GitHub Actions; integrate Octopus Deploy where required.\nDevelop production-quality cloud and DevOps tooling using .NET/C#, Python and PowerShell, including APIs, Azure Functions, CLI utilities, integrations, compliance checks, reporting and operational automation.\nBuild and operate containerized workloads on Azure Kubernetes Service (AKS) and Azure Container Apps, including container registries, scaling, health probes, deployment strategies and rollback.\nDefine service level indicators and objectives (SLIs/SLOs), monitoring, dashboards and actionable alerting; participate in on call, incident response, root-cause analysis and blameless postmortems.\nImprove reliability, availability, performance, capacity and recoverability while reducing operational toil through automation and self-service platform capabilities.\nImplement observability with Azure Monitor, Application Insights, Log Analytics and KQL, including centralized diagnostic settings and production health monitoring.\nEnforce security and governance using Microsoft Entra ID, managed identities, least-privilege Azure RBAC, workload identity federation, Azure Policy and Key Vault.\nDesign secretless deployment patterns where possible and enforce private connectivity, certificate lifecycle management, secure logging and restricted data-plane access.\nSupport governance and compliance requirements for regulated workloads, including PCI-DSS and\nGLBA controls, audit evidence and remediation activities.\nImplement cost-management practices including tagging standards, budgets, ownership visibility and resource optimization.\nSupport integrations with enterprise technologies such as Okta CIAM, Akamai, Azure App Configuration and Octopus Deploy.\nUse AI tools such as Claude to assist with IaC and code development, code review, log/incident analysis, troubleshooting, test generation and documentation while independently validating correctness, security and production readiness.\nDocument architecture decisions, operational procedures, production-readiness requirements, troubleshooting guides and runbooks.\nMentor engineers, review infrastructure and automation pull requests, and establish reusable platform engineering standards for application teams.\nRequirements\n5+ years of hands-on experience in DevOps, SRE, cloud infrastructure or platform engineering, with strong production support experience.\nStrong Microsoft Azure engineering experience across networking, compute, containers, identity, security, governance, storage and monitoring.\nAdvanced Terraform and hands-on Bicep experience, including reusable module design, state management, imports, plan/what-if review and drift detection.\nStrong hands-on development and automation skills in .NET/C#, Python and PowerShell; ability to build maintainable tooling rather than relying only on administrative scripts.\nExperience building REST/API integrations and working with JSON, YAML, Git and common software engineering practices such as code review, testing, logging and error handling.\nHands-on experience with Azure DevOps and/or GitHub Actions, including YAML pipelines, approvals/checks, branch policies, reusable templates and secure authentication.\nExperience with AKS, Azure Container Apps, Docker and Azure Container Registry, or equivalent Kubernetes/container platforms.\nSolid SRE practices including SLIs/SLOs, observability, incident management, root-cause analysis, postmortems, capacity planning and operational automation.\nStrong understanding of Microsoft Entra ID, managed identities, Azure RBAC, Key Vault, workload identity federation and least-privilege security.\nExperience with Azure Monitor, Application Insights, Log Analytics and KQL for production troubleshooting and observability.\nAbility to troubleshoot across application code, CI/CD, containers, Azure services, networking, identity\nand observability layers.\nDaily, effective use of AI-assisted engineering tools such as Claude, with critical review of AI-generated\ncode, IaC and recommendations before production use.\nStrong technical documentation and professional English communication skills.\nNice to have\nAzure or Terraform certifications, for example AZ-400, AZ-305 or HashiCorp Terraform Associate.\nExperience in financial services or other regulated environments, particularly PCI-DSS and GLBA.\nExperience with Octopus Deploy and Windows Server/IIS deployment automation.\nExperience with Okta CIAM, OIDC/OAuth, MFA and identity automation.\nExperience with Akamai CDN, WAF, Bot Manager, EdgeWorkers or similar edge/security platforms.\nExperience with Azure Front Door Premium, Application Gateway WAF, Private Link and hybrid connectivity.\nExperience creating internal developer platforms, self-service automation or developer-experience tooling.\nExposure to AI-assisted DevOps, Model Context Protocol (MCP), retrieval-augmented generation (RAG) or agentic automation.\nWhat success looks like\nAzure infrastructure and governance are consistently delivered through code and controlled pipelines rather than manual portal changes.\nProduction services have measurable reliability targets, useful telemetry, tested rollback/recovery paths and actionable alerts.\nRepetitive operational work is converted into secure, reusable .NET, Python or PowerShell automation.\nApplication teams can consume standardized platform patterns with less dependency on manual DevOps intervention.\nSecurity, compliance and cost controls are built into the platform and delivery process instead of added after deployment.","description_format":"text","description_chars":6703,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate 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