Senior DevOps Engineer
Johnson Controls
Posted: 10/20/2026AzureCloudCyber SecurityDockerERPIoTKubernetesMicroservicesPython+3 more
Senior Systems Operations Engineer
Wells Fargo
Posted: 10/20/2026AnsibleCloudGrafanaJavaJenkinsMongoDBNoSQLOracleRDBMS+3 more
Deployment Engineer
Leidos
Posted: 10/20/2026CloudDistributed SystemsDockerKubernetesLinuxNode.jsPostgresPythonRedis
Principal/Sr. Principal DevOps Engineer
Northrop Grumman
Posted: 10/20/2026AWSDynamoDBFluxGrafanaJenkinsKubernetesLinuxPrometheusTerraform
Senior Linux, Infrastructure Automation Engineer
RR Donnelley
Posted: 10/20/2026AnsibleCloudLinuxOpenStackPuppet
DevSecOps Engineer
SAIC
Posted: 10/20/2026AWSCloudCyber SecurityEC2GrafanaKubernetesPrometheusPythonTerraform
Principal System Safety and Reliability Engineer
Honeywell Aerospace Technologies
Posted: 10/20/2026
DevSecOps Engineer III
Sierra Nevada Corporation
Posted: 10/20/2026AnsibleAWSAzureChefCloudGoogle Cloud PlatformJenkinsKubernetesPuppet+2 more
C4I Operations Engineer – Systems Specialist
Mission Technologies, a division of HII
Posted: 10/20/2026
Senior Staff DevOps Engineer – Developer Platform
Rivian and Volkswagen Group Technologies
Posted: 10/20/2026AndroidAWSAzureFluxGoogle Cloud PlatformiOSKubernetesPythonTerraform
DevOps Engineer
Booz Allen Hamilton
Posted: 10/20/2026AWSAzureCloudDockerJenkinsKubernetes
DevOps Engineer, Support
Apogee Engineering, LLC
Posted: 10/20/2026AnsiblePythonTerraformTypeScript
Cloud Operations Engineer
Marsh McLennan
Posted: 10/20/2026AWSCloudDNSLinux
Cloud Operations Engineer
Marsh McLennan
Posted: 10/20/2026AWSCloudDNSLinux
Site Reliability Engineer
Thomson Reuters
Posted: 10/20/2026AWSCloudLinuxPythonGo.NET
DevOps Engineer – Mid-Senior Level
Voyager Technologies
Posted: 10/20/2026AnsibleAWSAzureCloudCyber SecurityDockerGrafanaKubernetesPrometheus+3 more
DevOps Engineer
BWE
Posted: 10/20/2026AzureCloudPython
DevOps Engineer
Augeo
Posted: 10/20/2026AWSCloudCyber SecurityDNSEC2GrafanaJavaScriptKubernetesLinux+4 more
DevSecOps Manager
Paylocity
Posted: 10/20/2026Cloud
DevOps Engineer
RevStar
Posted: 10/20/2026AWSAzureCloudTerraform
Senior DevOps Engineer
Johnson ControlsCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Azure DevOps, CI/CD pipeline management, and infrastructure as code, with a strong focus on AI capabilities and production systems reliability. Proficient in managing hybrid environments and implementing security best practices while mentoring engineering teams.
Highest-signal resume keywords
Azure DevOps ExpertiseCI/CD Pipeline ManagementInfrastructure As CodeProduction ContainerizationMLOps Experience
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Maintain the platform supporting revenue, production, and AI capabilities
- Build and operate CI/CD pipelines, environments, infrastructure as code, observability, security posture, and deployment paths
- Manage Azure DevOps organization and project structure, YAML pipelines, repositories, branch policies, artifact feeds, service connections, environments, and self-hosted agent pools
- Build controlled release processes for microservices, integration artifacts, API layers, and COTS platforms including CPQ, PLM, ERP, and MES
- Design approval gates, change records, and audit evidence
- Plan and execute deployments around maintenance windows, shift schedules, quarter-end volume, and factory operations
- Manage infrastructure as code and Azure services including Functions, Azure SQL, storage, Service Bus, Event Hubs, API Management, and data platforms
- Manage networking and identity, including VNets, private endpoints, hub-and-spoke topology, ExpressRoute, site-to-site VPN, Entra ID, managed identities, Key Vault, and RBAC
- Manage hybrid and edge infrastructure using Azure Arc, IoT Edge, and IoT Hub
- Own environment strategy and lifecycle across development, test, UAT, and production
- Manage environment refresh, provisioning, and test data masking
- Stand up and operate Azure Machine Learning or Azure AI Foundry, including workspaces, compute, GPU capacity, model registry, and managed inference endpoints
- Manage Azure OpenAI and model provider access, quota, throughput, private networking, content filtering, keys, and identity
- Extend CI/CD to AI workloads with versioning, automated evaluation gates, and rollback
- Build production observability for AI, including latency, errors, abstention rates, token consumption, drift, and feature cost attribution
- Deploy inference to cloud, on-premise, or plant edge environments
- Own AI cost management and forecasting
- Build business-impact monitoring and alerting; own SLOs, dashboards, and production incident response
- Drive incident management and blameless postmortems
- Own security posture through secrets management, vulnerability and dependency scanning, container image hygiene, SBOM generation, and patch coordination
- Partner with IT, OT, and information security on segmentation, access control, and compliance
- Improve engineering delivery through self-service environments, golden pipeline templates, and documentation
- Mentor engineers on deployment, observability, and operational ownership
Requirements
What you’ll need- 5+ years in DevOps, platform, SRE, or cloud infrastructure engineering
- Hands-on Azure experience across compute, networking, identity, data services, and monitoring
- Azure DevOps expertise, including YAML pipelines, self-hosted agents, environments and approvals, artifact management, and repository governance
- Equivalent depth in GitHub Actions or GitLab CI with demonstrated ability to pick up Azure DevOps is acceptable
- Production containerization and orchestration using Docker and Kubernetes
- Scripting and automation in Python and PowerShell or Bash
- Experience deploying into hybrid environments, including firewalled targets, private connectivity, and on-premise servers
- Demonstrated ownership of production systems, including on-call, incident response, and measurable reliability improvement
- Preferred: MLOps experience, including Azure Machine Learning, model registries, inference endpoints, GPU capacity management, or LLMOps
- Preferred: Experience supporting ERP, PLM, CPQ, MES, or integration middleware
- Preferred: Manufacturing or industrial environment experience, including OT network segmentation and plant cybersecurity practices
- Preferred: Data platform operations with Data Factory or Fabric, warehouse or lakehouse infrastructure, and orchestration
- Preferred: FinOps practice
- Preferred: Azure certifications (AZ-400, AZ-104/305, or AI-102) and Kubernetes certification (CKA)
- Preferred: Experience as an early platform hire establishing standards
- Preferred: Production infrastructure-as-code experience with Terraform or Bicep, including multiple environments and responsible state management
Benefits
Comp & perks- Competitive bonus plan based on individual, group, and corporate performance
- Competitive benefits package
- Relocation assistance available
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Azure Services ManagementYAML PipelinesScripting in PythonDockerKubernetesTerraformBicepData FactoryAPI ManagementObservability
Soft Skills
MentoringIncident ManagementCollaboration
Tools & Technologies
Azure Machine LearningAzure ArcIoT HubGitHub ActionsGitLab CIService BusEvent HubsKey VaultRBACExpressRoute
Certifications & Qualifications
AZ-400AZ-104AZ-305AI-102CKA
Industry Keywords
ERPPLMCPQMESManufacturingIndustrial EnvironmentOT Network SegmentationCybersecurity PracticesFinOpsHybrid Environments