Jobs
Required Skills
Cloud computing
Microsoft Azure
Docker
Kubernetes
Linux
Networking
Troubleshooting
Monitoring
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.
This Position reports to:
Digital Platform Operations Specialist:
Job 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
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Operate, monitor, and support cloud-native applications hosted on Azure
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Manage and support containerized workloads using Docker and Kubernetes (AKS preferred)
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Handle production operations, including incident management, root cause analysis (RCA), and performance tuning
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Support edge deployments and troubleshoot connectivity, data flow, and system stability issues
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Implement and manage monitoring, alerting, and logging solutions for cloud and edge environments
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Perform deployment, upgrades, patches, and configuration changes in cloud platforms
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Work closely with development, DevOps, and platform teams to ensure smooth releases
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Ensure security, access control, and compliance best practices are followed
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Participate in on-call rotations and provide operational support as required
Required Skills & Qualifications
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Strong understanding of cloud computing concepts, preferably Microsoft Azure
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Hands-on experience with Docker and Kubernetes in production environments
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having the understanding of On-prem deployments and
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Solid experience in operations support for cloud-based applications
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Good knowledge of Linux systems, networking fundamentals, and troubleshooting
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Exposure to edge computing environments and on-prem/cloud hybrid architectures
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Familiarity with monitoring and observability tools (logs, metrics, alerts)
AI & Advanced Technologies (Good to Have)
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Basic understanding of AI/ML concepts and tools
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Exposure to AI-driven monitoring, analytics, or automation tools
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Awareness of how AI is used in operations, observability, or predictive maintenance is a plus
Note: Role may demand for the 247 support.
We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process.
We never ask for money from job applicants.
For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.
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About ABB

ABB
PublicABB is a multinational technology corporation that provides electrification, robotics, automation, and motion solutions for industrial and infrastructure applications.
10,001+
Employees
Zurich
Headquarters
Reviews
3.5
3 reviews
Work Life Balance
3.0
Compensation
2.0
Culture
2.5
Career
3.5
Management
2.0
35%
Recommend to a Friend
Pros
Award ceremonies and achievement recognition
Professional experience opportunities
Relevant marketing and writing experience
Cons
Awards only recognize sales and leadership teams
Auxiliary departments excluded and understaffed
No cost of living raises provided
Salary Ranges
405 data points
Mid/L4
Senior/L5
Mid/L4 · Project Manager
102 reports
$117,433
total / year
Base
$109,179
Stock
-
Bonus
$8,254
$79,130
$175,443
Interview Experience
5 interviews
Difficulty
3.8
/ 5
Duration
14-28 weeks
Offer Rate
20%
Experience
Positive 0%
Neutral 60%
Negative 40%
Interview Process
1
Application Review
2
Phone Screen
3
Technical Interview
4
System Design/Panel Interview
5
Onsite/Final Round
6
Offer Decision
Common Questions
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
Problem Solving