Devops Engineer Jobs

About The Position

Requirements

• BA/BS Computer Science, Information Technology or related field
• 4+ years with Azure DevOps (Repos & Pipelines; GitHub Actions/other CI/CD tools a plus.
• Experience building and managing cloud infrastructure in Microsoft Azure
• Hands-on experience creating and maintaining Azure DevOps CI/CD pipelines (YAML), including multi-stage releases, templates, and environment approvals
• Strong Git skills, including branching strategies, pull requests, resolving merge conflicts, and code review practices
• Strong understanding of Infrastructure as Code principles, including hands-on delivery with Azure Bicep and ARM templates (modules, parameterization, and repeatable deployments)
• Experience working with development teams to support application delivery
• Familiarity with cloud security, identity, and access management concepts
• Proficiency with automation and scripting for Azure (e.g., Azure CLI, PowerShell; Python a plus)
• Strong troubleshooting, automation, and problem-solving skills
• Self-motivated and able to work independently with minimal supervision while consistently delivering high-quality results
• Demonstrated ability to manage your own work (plan, prioritize, and execute) and provide clear, detailed status updates on progress, risks, and blockers
• Strong follow-through and attention to detail; able to stay focused and complete tasks end-to-end on a consistent basis
• Comfortable working in an Agile delivery model with a 2-week iteration cadence, including participating in planning, daily standups, reviews, and retrospectives
• Experience applying security best practices in cloud environments, including identity, network hardening, and secrets management.

Nice To Haves

• Experience supporting both development and production cloud environments
• Experience deploying and operating workloads in Azure App Service Environments (ASE), including Azure Functions and Web Apps (deployment slots, scaling, networking/private access)
• Experience working with Azure data stores used by cloud apps, such as Azure SQL Database and Azure Cosmos DB, including connectivity, authentication, and CI/CD deployment considerations
• Experience utilizing Azure PaaS services such as Event Hubs, Service Bus, and Azure Managed Redis (plus other integration/messaging services as applicable)
• Knowledge of containerization and orchestration technologies (e.g., Docker; Kubernetes/AKS fundamentals)
• Experience with pipeline and IaC quality controls (linting, unit/integration tests, template validation, and policy-as-code)
• Working knowledge of observability practices (Azure Monitor, Log Analytics, Application Insights), alert tuning, and incident response
• Experience in regulated or security conscious environments
• Scripting experience (e.g., PowerShell, Bash, Python)
• Demonstrated ability to use AI assistants effectively (prompting, iterative refinement, and validation) for DevOps workflows while following data-handling requirements
• SAFe Agile Certified; SAFe DevOps Practitioner or SAFe for Teams (SP) certification required to collaborate effectively within Agile Release Trains or must be obtained within the first 90 days of employment.

Responsibilities

• Design, provision, and manage Azure resources to support application development, testing, and production environments
• Build and maintain infrastructure using Infrastructure as Code (IaC) with a strong emphasis on Azure Bicep and ARM templates (Terraform a plus)
• Implement Azure networking, identity, and governance best practices (VNets, private endpoints, RBAC, management groups/subscriptions, and Azure Policy)
• Ensure environments are scalable, secure, cost effective, and aligned with organizational standards by creating reusable Bicep modules, standardized parameterization, and deployment guardrails
• Design secrets and configuration patterns using Azure Key Vault and managed identities, including secure rotation and least-privilege access
• Design, build, and maintain Azure DevOps Pipelines (YAML) for continuous integration and continuous delivery
• Partner with R&D teams to integrate pipelines into the software development lifecycle, including build, test, security scanning, and release automation
• Manage Azure DevOps Environments and environment-specific deployments (dev, test, staging, production) with appropriate approvals, checks/gates, and segregation of duties
• Improve pipeline reliability, deployment speed, and observability using reusable YAML templates, artifact/version promotion practices, and end-to-end traceability (work item → PR → build → release)
• Administer and optimize Azure Repos and Git workflows, including pull requests, branch policies, code review standards, and required build validations
• Collaborate closely with software engineers to understand application requirements and translate them into Azure architectures
• Enable development teams with self service capabilities through automation and standardized templates
• Provide guidance on cloud native design patterns and operational best practices
• Work with teams across the organization to identify opportunities for automation and process improvements
• Build reusable automation solutions for infrastructure provisioning, environment setup, and operational tasks
• Promote DevOps best practices, tooling, and standards across teams
• Implement monitoring, logging, and alerting using Azure Monitor, Log Analytics, and Application Insights to proactively identify issues
• Support deployments and operational troubleshooting in production environments, including creating/maintaining runbooks and automation for common operational tasks
• Participate in on call or incident response activities as needed
• Willingness and ability to occasionally work off-hours or weekends, as needed and scheduled, to support R&D teams during deployments, escalations, or time-sensitive issues
• Continuously improve system reliability, security posture, and performance through capacity planning, alert tuning, and post-incident reviews (blameless retrospectives); familiarity with SLO/SLI concepts is a plus
• Use AI tools responsibly and in alignment with policy to accelerate routine tasks (e.g., drafting pipeline/IaC scaffolding, troubleshooting, and runbook creation), while validating outputs and never sharing secrets or sensitive data in prompts
• Implement secure‑by‑default patterns in Azure (networking, identity, secrets management)
• Ensure pipelines and infrastructure follow Baker Hill security standards and compliance requirements
• Partner with Security to design guardrails, enforce least privilege, and maintain configuration baselines
• Automate security checks in CI/CD (secret scanning, dependency scanning, and IaC/template validation) to detect misconfigurations early
• Harden CI/CD access by implementing least-privilege service connections, secure credential handling, and (where appropriate) managed identity/workload identity patterns