Senior DevOps/SRE Engineer (Cloud)

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Senior DevOps/SRE Engineer (Cloud) in Others new

Johnson Controls International plc
Full time
Email

Others
10/30/2026
Report

Pune, India

Responsibilities

Deliver automation and configuration management for platform infrastructure.
Automate build, deployment, continuous integration, and continuous delivery activities for code and data.
Create deployment strategies for consistent application delivery across environments.
Maintain configuration-management tools, code, and modules.
Implement monitoring and logging solutions to identify bottlenecks and production issues.
Apply Generative AI and AI-enabled capabilities to DevOps, SRE, platform engineering, troubleshooting, knowledge discovery, and operational automation workflows.
Collaborate with software engineering, security, and operations teams to improve reliability, delivery speed, standardization, and operational efficiency.
Implement, maintain, and improve continuous integration, testing, delivery, and deployment environments.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
At least 3 years of overall industry experience working on enterprise IT or cloud-platform projects.
At least 3 years of hands-on Kubernetes experience covering deployment, scaling, troubleshooting, configuration, and production operations.
At least 3 years of hands-on experience with Microsoft Azure, AWS, or Google Cloud; Azure is preferred.
At least 2 years of experience with orchestration, workflow, or CI/CD tools such as Argo CD, Tekton, Jenkins, Azure DevOps, or GitHub Actions.
At least 3 years of infrastructure and operational automation experience using Terraform, Ansible, Python, PowerShell, Bash, or equivalent technologies.
At least 2 years of experience with monitoring and observability tools such as Azure Monitor, Application Insights, Grafana, Prometheus, Datadog, Dynatrace, or the ELK stack.
At least 2 years of hands-on experience with Generative AI and AI-enabled engineering solutions, including copilots, AI agents, prompt engineering, RAG, LLM integrations, or AI-driven automation.
Working knowledge of responsible AI, data protection, access control, model-output validation, and secure enterprise-data integration.
Working knowledge of Linux, Git, container registries, secrets management, infrastructure security, and production-support practices.
Strong written and verbal communication skills and the ability to explain complex technical concepts to technical and non-technical stakeholders.
Preferred experience with Azure-native operational tooling, Azure OpenAI Service, Microsoft Copilot, GitHub Copilot, RAG solutions, AI agents, prompt workflows, LLM APIs, vector search, or enterprise knowledge assistants.
Preferred understanding of DNS, DHCP, subnets, load balancing, reverse proxies, NGINX, firewalls, Terraform, Jenkins, Argo CD, Tekton, SonarQube, JFrog Artifactory, Consul, Vault, and package-management solutions.
Ability to solve complex problems, work independently and collaboratively, prioritize reliability and security, and support internal and external stakeholders.

Johnson Controls International plc

Johnson Controls International plc is a global leader in building technology and sustainability solutions, delivering innovative systems that enhance performance, safety, and energy efficiency. The company partners with architects, developers, and operators to create intelligent, resilient enviro...

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