Sr. Azure DevOps and SRE Engineer

Berlin Packaging is the premier supplier of rigid packaging. With over $3 billion in revenue, we have grown 5x faster than the overall packaging industry since 1898.
Chances are you enjoy products supplied by us every day! We serve virtually every end market: automotive, beverage, food, home care, industrial chemical, pet care and veterinary, personal health and beauty, wine and spirits, and cannabis.
Our engagement scores are 2x the national average, and every employee shares in Berlin’s profitable growth. Combined with our “Anything is Possible” mindset and our winning culture, our 2,000+ employees agree, we love it here!
The Opportunity
Berlin Packaging has been investing in technology across the enterprise, and our cloud platforms are central to how our customer-facing applications, APIs, and enterprise systems run, connect, and scale. As a Senior DevOps & Site Reliability Engineer, you will be hands-on at the center of that work. You will create the CI/CD pipelines and Terraform-based Azure platform behind our .NET, React, and Next.js frontends, Azure Static Web Apps, Azure API Management (APIM), and MuleSoft integrations, while keeping those platforms reliable, observable, secure, and performant in production.
You will work closely with onshore and offshore developers, architects, integration engineers, and security and infrastructure teams. You will bring deep technical expertise, raise engineering and operational standards, and own deliverables end-to-end. We are looking for someone with proven hands-on experience who can work with a high degree of autonomy from day one.
DevOps & Platform Engineering
Design and create Azure DevOps (ADO) CI/CD pipelines from scratch using multi-stage YAML. Build reusable templates, variable groups, service connections, environments, approvals and gates, and self-hosted and Microsoft-hosted agents.
Create build and release pipelines for .NET / ASP.NET Core applications, React single-page applications, and Next.js applications, including static export, SSR/ISR, and hybrid rendering.
Deploy and operate Azure Static Web Apps, including custom domains, PR staging environments, linked APIs and Azure Functions, authentication, routing, and configuration.
Host Next.js SSR workloads on App Service, Container Apps, or AKS, with caching and edge delivery through Azure Front Door/CDN.
Build and manage Azure infrastructure as code with Terraform, including reusable modules, remote state, environment promotion, drift detection, policy enforcement, and pipeline-driven deployments.
Automate Azure API Management configuration and deployments, including APIs, policies, products, subscriptions, versions, and revisions using APIOps practices.
Create DevOps pipelines for MuleSoft on CloudHub 2.0, including Maven builds, MUnit quality gates, Runtime Manager deployments, and API Manager policy automation.
Build DevSecOps into every pipeline using SAST, SCA/dependency scanning, IaC scanning, container image scanning, secret management with Key Vault, managed identities, RBAC, and policy-as-code.
Define branching, release, and deployment strategies such as trunk-based development, blue/green, canary, deployment slots, PR preview environments, and automated rollback.
Establish build-once/promote-many practices and standardized promotion across Dev, QA, UAT, and Production environments.
AI-Enabled DevOps & Platform Automation
Use Generative AI and AI-assisted engineering tools such as GitHub Copilot, Claude Code, and approved enterprise AI platforms to accelerate DevOps, infrastructure, troubleshooting, documentation, and automation.
Develop practical AI-assisted workflows for pipeline creation, Terraform development, YAML troubleshooting, log analysis, incident investigation, root-cause analysis, and runbook generation.
Explore and implement agentic DevOps capabilities that can analyze pipeline failures, summarize incidents, recommend remediation, and automate low-risk operational tasks with appropriate human approval.
Use AI to improve developer experience, platform self-service, operational knowledge, and engineering productivity while maintaining security, privacy, governance, and human oversight.
Apply prompt engineering, structured context, RAG/knowledge retrieval, and tool/API integration concepts where they improve enterprise DevOps workflows.
Evaluate AI-generated code, infrastructure definitions, pipeline changes, and operational recommendations for correctness, security, compliance, and production readiness.
Site Reliability Engineering
Define and track SLIs and SLOs for frontend applications, APIM gateway, and MuleSoft APIs.
Build observability with Azure Monitor, Application Insights, Log Analytics/KQL, and Anypoint Monitoring, including dashboards, distributed tracing, synthetic tests, and actionable alerts.
Monitor and tune performance and availability for customer-facing web traffic, APIM throughput and latency, and integration flows, including Core Web Vitals and CDN caching.
Lead incident response, participate in on-call, provide L2/L3 production support, and run blameless postmortems with tracked remediation.
Drive high availability, disaster recovery, resilience, capacity planning, and performance engineering for frontend, APIM, and MuleSoft workloads.
Reduce operational toil through automation, self-service tooling, runbooks, and AI-assisted operational workflows.
Help manage and optimize cloud platform cost through resource governanc