Digital Platform Operations Specialist
ABB
At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.
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Digital Platform Operations SpecialistJob Summary
We are looking for a Cloud Operations Engineer with strong hands-on experience in cloud-based application support, preferably on Microsoft Azure. The ideal candidate will be highly skilled in operations support, containerized environments (Docker & Kubernetes), and edge deployments, with a working understanding of AI/ML-based tools and platforms.
This role requires a proactive problem solver who can ensure high availability, performance, and reliability of enterprise-grade cloud applications.
Key Responsibilities
Operate, monitor, and support cloud-native applications hosted on Azure
Manage and support containerized workloads using Docker and Kubernetes (AKS preferred)
Handle production operations, including incident management, root cause analysis (RCA), and performance tuning
Support edge deployments and troubleshoot connectivity, data flow, and system stability issues
Implement and manage monitoring, alerting, and logging solutions for cloud and edge environments
Perform deployment, upgrades, patches, and configuration changes in cloud platforms
Work closely with development, DevOps, and platform teams to ensure smooth releases
Ensure security, access control, and compliance best practices are followed
Participate in on-call rotations and provide operational support as required
Required Skills & Qualifications
Strong understanding of cloud computing concepts, preferably Microsoft Azure
Hands-on experience with Docker and Kubernetes in production environments
having the understanding of On-prem deployments and
Solid experience in operations support for cloud-based applications
Good knowledge of Linux systems, networking fundamentals, and troubleshooting
Exposure to edge computing environments and on-prem/cloud hybrid architectures
Familiarity with monitoring and observability tools (logs, metrics, alerts)
AI & Advanced Technologies (Good to Have)
Basic understanding of AI/ML concepts and tools
Exposure to AI-driven monitoring, analytics, or automation tools
Awareness of how AI is used in operations, observability, or predictive maintenance is a plus
Note: Role may demand for the 24*7 support.
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