Senior DevOps/SRE Engineer (Cloud)

POSITION PURPOSE: Provide support, automation, and infrastructure expertise for Johnson Controls IoT SaaS offerings. Expertise will focus on cloud environments, particularly Microsoft Azure, with emphasis on Linux, Kubernetes, security, ISO, SOC 2, CI/CD automation, observability, and AI-enabled engineering.

What you will do

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.

Apply Generative AI and AI-enabled capabilities to improve DevOps, SRE, platform-engineering, troubleshooting, knowledge discovery, and operational automation workflows.

How you will do it

The successful candidate will bring strong hands-on experience in cloud infrastructure, Kubernetes, automation, orchestration, observability, and AI enablement. They will collaborate with software engineering, security, and operations teams to improve reliability, delivery speed, standardization, and operational efficiency.

The role requires practical experience with Linux, containers, infrastructure as code, CI/CD, scripting, production operations, and responsible adoption of GenAI and AI solutions. Microsoft Azure experience is preferred; equivalent AWS or Google Cloud experience is also applicable.

Johnson Controls

Johnsoncontrols.com

What we look for

Required Qualifications - Education & Experience

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Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

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3-5 years of overall industry experience working on enterprise IT or cloud-platform projects.

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Ability to build and improve CI/CD pipelines in collaboration with global engineering teams.

Required and Preferred Skills Skill Area Minimum Experience Requirement

Kubernetes

3+ years hands-on

Mandatory

Cloud platform: Azure, AWS, or Google Cloud

3+ years hands-on

Mandatory; Azure preferred

Orchestration and CI/CD tools

2+ years

Mandatory

Infrastructure and operational automation

3+ years

Mandatory

Monitoring and observability tools

2+ years

Mandatory

Generative AI (GenAI) and AI enablement

2+ years hands-on

Mandatory

Written and verbal communication

Demonstrated proficiency

Mandatory

Required Experience

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3+ years of hands-on Kubernetes experience, including deployment, scaling, troubleshooting, configuration, and production operations.

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3+ years of hands-on experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud. Microsoft Azure experience is preferred.

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2+ years of experience with orchestration, workflow, or CI/CD tools such as Argo CD, Tekton, Jenkins, Azure DevOps, GitHub Actions, or equivalent tools.

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3+ years of experience in infrastructure and operational automation using Terraform, Ansible, Python, PowerShell, Bash, or equivalent technologies.

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2+ years of experience with monitoring and observability tools such as Azure Monitor, Application Insights, Grafana, Prometheus, Datadog, Dynatrace, or the ELK stack.

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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.

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Working knowledge of responsible AI practices, data protection, access control, model-output validation, and secure integration of enterprise data with AI-enabled solutions.

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Excellent written and verbal communication skills, including the ability to explain complex technical concepts clearly to technical and non-technical stakeholders.

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Experience implementing, maintaining, and improving continuous integration, testing, delivery, and deployment environments.

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Working knowledge of Linux, Git, container registries, secrets management, infrastructure security, and production-support practices.

Preferred

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Strong hands-on experience with Microsoft Azure services and Azure-native operational tooling.

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Experience implementing GenAI or AI use cases using Microsoft Azure OpenAI Service, Microsoft Copilot, GitHub Copilot, or equivalent technologies.

Johnson Controls

Johnsoncontrols.com

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Experience designing or integrating RAG solutions, AI agents, prompt workflows, LLM APIs, vector search, or enterprise knowledge assistants.

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Understanding of networking concepts such as DNS, DHCP, subnets, load balancing, reverse proxies, NGINX, and firewalls.

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Experience with Terraform, Jenkins, Argo CD, Tekton, SonarQube, JFrog Artifactory, Consul, Vault, and package-management solutions.

Johnson Controls

Johnsoncontrols.com

Skills and Abilities

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Ability to solve complex problems quickly and thoroughly.

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Excellent written and verbal communication skills.

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Strong customer-service mindset when working with internal and external stakeholders.

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Ability to work effectively independently and within a collaborative team.

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Ability to prioritize reliability, security, automation, responsible AI, and continuous improvement.

Who we are

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.