Senior Software Engineer (DevOps)

Overview

Lead DevOps and cloud infrastructure for Phenomenex's enterprise digital platforms on Microsoft Azure, focused on reliability, scalability, and software release management.

What you'll do

• Own and define the DevOps and cloud infrastructure strategy for enterprise-scale digital platforms on Microsoft Azure and lead CI/CD, automation, and deployment modernization initiatives.
• Design, build, and maintain secure, scalable, and highly available Azure environments using Infrastructure-as-Code practices, ensuring platform reliability, resilience, and operational excellence.
• Establish and govern software release management processes, deployment standards, monitoring frameworks, and operational best practices across development, staging, and production environments.
• Partner with engineering, architecture, and business teams to understand application integrations, system communication patterns, data flows, and operational dependencies while maintaining architecture documentation, technical diagrams, and platform knowledge repositories.

What you'll need

• Bachelor's degree (or equivalent) in Computer Science, Information Technology, Engineering, or a related field.
• 5+ years of experience in DevOps, Site Reliability Engineering (SRE), Cloud Operations, Infrastructure Engineering, or Production Engineering roles.
• Hands-on expertise with Microsoft Azure, Azure DevOps, Git, Azure CLI, PowerShell, scripting, and CI/CD automation, including experience implementing Infrastructure-as-Code solutions.
• Strong understanding of enterprise application architecture, system integrations, data flows, database technologies (RDBMS), and troubleshooting across distributed systems and cloud environments.
• Demonstrated experience working in Agile/Scrum environments using tools such as Jira, Confluence, Azure DevOps, MS Project, and Miro, along with strong technical documentation and diagramming skills.

Nice to have

• Experience with Kubernetes, Azure Kubernetes Service (AKS), Docker, container orchestration, and modern cloud-native architectures.
• Working knowledge of Python, PowerShell, or other scripting languages for automation, monitoring, and operational efficiency initiatives.
• Experience implementing observability solutions using Azure Monitor, Application Insights, Log Analytics, Grafana, or comparable monitoring platforms.
• Exposure to AI-enabled capabilities, MLOps, platform engineering, or intelligent automation initiatives within enterprise environments.
• Experience supporting regulated industries such as life sciences, diagnostics, healthcare, or other compliance-driven environments.