Overview

POSITION PURPOSE: Provide support, automation, and infrastructure expertise for Johnson Controls IoT SaaS offerings.

Responsibilities

• Deliver automation and configuration management for platform infrastructure and provide stable environments for reliable, high-quality delivery.
• Automate build and deployment activities for code and data to enable continuous integration and continuous deployment.
• Create deployment strategies that enable consistent application delivery across environments and maintain configuration-management tools, code, and modules.
• Implement monitoring and logging solutions to identify system bottlenecks and production issues.

Qualifications

• Education & Experience
• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Working knowledge of Linux, Git, container registries, secrets management, infrastructure security, and production-support practices.
• Strong hands-on experience with Microsoft Azure services and Azure-native operational tooling.
• Johnson Controls
• Johnsoncontrols.com
• Understanding of networking concepts such as DNS, DHCP, subnets, load balancing, reverse proxies, NGINX, and firewalls.
• Johnson Controls
• Johnsoncontrols.com
• Skills And Abilities
• Ability to solve complex problems quickly and thoroughly.
• Excellent written and verbal communication skills.
• Strong customer-service mindset when working with internal and external stakeholders.
• Ability to work effectively independently and within a collaborative team.
• Ability to prioritize reliability, security, automation, responsible AI, and continuous improvement.
• Johnson Controls is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. If you require an accommodation during the application process, please visit johnsoncontrols.com/tomorrowneedsyou.

Nice to have

• Skill Area Minimum Experience Requirement
• 3+ years hands-on
• Cloud platform: Azure, AWS, or Google Cloud
• 3+ years hands-on
• Mandatory; Azure preferred
• Orchestration and CI/CD tools
• Infrastructure and operational automation
• Monitoring and observability tools
• Generative AI (GenAI) and AI enablement
• 2+ years hands-on
• Written and verbal communication
• Demonstrated proficiency
• Required Experience
• 3+ years of hands-on Kubernetes experience, including deployment, scaling, troubleshooting, configuration, and production operations.
• 3+ years of hands-on experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud. Microsoft Azure experience is preferred.
• 2+ years of experience with orchestration, workflow, or CI/CD tools such as Argo CD, Tekton, Jenkins, Azure DevOps, GitHub Actions, or equivalent tools.
• 3+ years of experience in infrastructure and operational automation using Terraform, Ansible, Python, PowerShell, Bash, or equivalent technologies.
• 2+ years of experience with monitoring and observability tools such as Azure Monitor, Application Insights, Grafana, Prometheus, Datadog, Dynatrace, or the ELK stack.
• 2+ years of hands-on experience with Generative AI (GenAI) and AI-enabled engineering solutions, including copilots, AI agents, prompt engineering, retrieval-augmented generation (RAG), large language model (LLM) integrations, or AI-driven automation for DevOps, SRE, platform-engineering, or software-delivery workflows.
• Working knowledge of responsible AI practices, data protection, access control, model-output validation, and secure integration of enterprise data with AI-enabled solutions.
• Excellent written and verbal communication skills, including the ability to explain complex technical concepts clearly to technical and non-technical stakeholders.