Digital Platform Operations Specialist

Posted 15 Days Ago
Be an Early Applicant
Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Robotics • Analytics • Energy
The Role
Operate and support cloud-native applications on Microsoft Azure, manage Docker/Kubernetes (preferably AKS) workloads, handle production incidents and RCA, support hybrid edge deployments, implement monitoring/logging/alerting, perform deployments and patching, collaborate with DevOps and engineering teams, ensure security and participate in on-call rotations while driving automation and operational improvements.
Summary Generated by Built In

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This Position reports to:

Digital Platform Operations Specialist
 
What we believe in

ABB’s Process Automation business area enables customers to operate some of the world’s largest and most complex industrial infrastructures, helping them outrun – leaner and cleaner. We offer a broad range of automation, electrification and digital solutions for process, hybrid and maritime industries, including industry-specific integrated control and software as well as measurement and analytics solutions and services.

Your role and responsibilities

In this role, we are looking for a Cloud Operations Engineer - Digital Platform Operations Specialist to join our Industrial Automation Digital Organization. The role requires an individual with strong hands-on experience supporting cloud-native applications hosted on Microsoft Azure. The ideal candidate will bring expertise in production operations, containerized environments using Docker and Kubernetes, and supporting edge deployments in hybrid cloud ecosystems. The candidate will play a critical role in ensuring the availability, reliability, and performance of enterprise-grade cloud applications while driving operational excellence and continuous improvement.

The work model for the role is: Hybrid

You will be mainly accountable for:

• Operate, monitor, and support cloud-native applications hosted on Microsoft Azure, ensuring high availability, reliability, and optimal performance.

• Manage and support containerized workloads using Docker and Kubernetes platforms, preferably Azure Kubernetes Service (AKS), across development and production environments.

• Handle production operations activities including incident management, root cause analysis (RCA), problem resolution, and performance optimization to maintain service continuity.

• Support edge deployments by troubleshooting connectivity issues, validating data flows, and ensuring system stability across hybrid cloud and edge environments.

• Implement and maintain monitoring, logging, and alerting solutions to proactively detect, analyze, and resolve operational issues in cloud and edge platforms.

• Perform application deployments, platform upgrades, patch management, and configuration changes while adhering to operational best practices and change management processes.

• Collaborate closely with Development, DevOps, and Platform Engineering teams to ensure smooth release execution and operational readiness.

• Ensure compliance with security standards, access management controls, and organizational policies to maintain secure and resilient cloud operations.

• Participate in on-call rotations and provide operational support as required to ensure timely response and resolution of critical incidents.

• Contribute to continuous improvement initiatives by identifying automation opportunities, enhancing operational processes, and promoting platform reliability and efficiency.

Qualifications for the role

• 4–8 years of experience in cloud operations, production support, site reliability engineering, or related roles supporting enterprise cloud applications.

• Strong understanding of cloud computing principles with hands-on experience supporting solutions hosted on Microsoft Azure.

• Proven experience working with Docker and Kubernetes in production environments, with Azure Kubernetes Service (AKS) experience considered advantageous.

• Solid experience providing operational support for cloud-based applications, including incident management, troubleshooting, and service restoration.

• Good knowledge of Linux operating systems, networking fundamentals, and systematic troubleshooting techniques.

• Experience with CI/CD pipelines, deployment automation, release management processes, and supporting continuous delivery practices.

• Exposure to edge computing environments and hybrid architectures integrating on-premises and cloud-based systems.

• Familiarity with monitoring and observability tools involving logs, metrics, dashboards, and alerting capabilities to support proactive operations management.

• Strong analytical and problem-solving skills with the ability to diagnose and resolve complex technical issues effectively.

• Excellent communication and collaboration skills with the ability to work effectively in cross-functional and globally distributed teams.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related disciplines.

Preferred qualifications for the role

• Basic understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts, methodologies, and supporting technologies.

• Exposure to AI-driven monitoring, analytics, automation, or intelligent operational support tools.

• Awareness of AI applications in operations management, observability platforms, predictive maintenance, and proactive issue detection.

• Experience with Infrastructure as Code (IaC), DevOps practices, and cloud automation frameworks is considered advantageous.

• Microsoft Azure certifications such as Azure Fundamentals (AZ-900), Azure Administrator Associate (AZ-104), or equivalent certifications are desirable.

• Experience supporting industrial digital platforms within manufacturing, energy, marine, process industries, or similar sectors is an added advantage.

More about us

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. The Process Automation (PA) business area automates, electrifies, and digitalizes some of the most complex industrial infrastructures globally. Through its divisions, it serves customers across energy, process and hybrid industries, including oil and gas, chemicals, water, mining, marine and ports, pulp and paper, and many more. Process Automation stands at the center of critical industrial transformations, helping industries operate more safely, efficiently, and sustainably. By combining deep domain expertise with innovative digital technologies, ABB enables customers to improve reliability, optimize performance, and accelerate their journey toward smarter and more sustainable operations.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.

Ready to make an impact? Apply today or visit www.abb.com to learn more about the impact of our solutions across the globe.

Recruitment Fraud Warning

ABB never asks for payment from job applicants. All genuine job offers follow a formal application and interview process.

View current job openings and apply at: https://careers.abb/global/en/home

For more information, read our full fraud warning notice at: https://global.abb/group/en/careers/how-to-apply/fraud-warning

Skills Required

  • 4-8 years experience in cloud operations, production support, or site reliability engineering
  • Hands-on experience supporting solutions hosted on Microsoft Azure
  • Proven experience with Docker and Kubernetes in production environments
  • Experience with Azure Kubernetes Service (AKS)
  • Operational support experience including incident management, troubleshooting, and service restoration
  • Strong knowledge of Linux operating systems and networking fundamentals
  • Experience with CI/CD pipelines, deployment automation, and release management
  • Exposure to edge computing environments and hybrid architectures
  • Familiarity with monitoring, logging, metrics, dashboards, and alerting (observability)
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline
  • Participate in on-call rotations and provide operational support for critical incidents
  • Basic understanding of AI and Machine Learning concepts
  • Experience with Infrastructure as Code (IaC) and DevOps practices
  • Microsoft Azure certifications (AZ-900, AZ-104 or equivalent)
  • Experience supporting industrial digital platforms (manufacturing, energy, marine, process industries)

ABB Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ABB and has not been reviewed or approved by ABB.

  • Healthcare Strength Healthcare coverage is described as comprehensive, with medical, dental, vision, mental health support, and disability and life insurance included. Immediate eligibility in some roles reinforces the sense of dependable core coverage.
  • Leave & Time Off Breadth Time-off offerings are described as broad, including paid holidays, sick days, volunteer time, sabbaticals, and, in some cases, 25 days of PTO. Flexible scheduling and remote-work options add to perceived time-off and flexibility value.
  • Retirement Support Retirement benefits are positioned as robust, including a 401(k) with company contributions or matching and, in some cases, profit sharing or pension savings. Stock purchase/share acquisition programs complement longer-term savings options.

ABB Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Bengaluru, Karnataka
104,000 Employees
Year Founded: 1988

What We Do

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 110,000 talented employees in over 100 countries. www.abb.com

Similar Jobs

Remote or Hybrid
India
897 Employees

Ericsson Logo Ericsson

Linux Administrator

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Hybrid
2 Locations
88000 Employees

Ericsson Logo Ericsson

IAM Engineer

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
3 Locations
88000 Employees

SmartBear Logo SmartBear

Manager Product Support - BugSnag

Cloud • Internet of Things • Software • App development • Automation
Easy Apply
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
800 Employees

Similar Companies Hiring

Northslope Thumbnail
Artificial Intelligence • Information Technology • Software • Analytics • Consulting • Generative AI
London, GB
100 Employees
Scotch Thumbnail
Artificial Intelligence • eCommerce • Fintech • Payments • Retail • Software • Analytics
US
35 Employees
Fairly Even Thumbnail
Hardware • Robotics • Sales • Software • Hospitality
New York, NY
30 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account