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Senior Software Engineer Senior Software Engineer- DevOps for Workflow Innovation in Barco Control Rooms @Barco About Barco Barco designs technology to enable bright outcomes around the world. Seeing beyond the image, we develop visualization and collaboration solutions to help you work together, share insights, and wow audiences. Our focus is on three core markets: Enterprise (from meeting and control rooms to corporate spaces), Healthcare (from the radiology department to the operating room), and Entertainment (from movie theaters to live events and attractions). We have a team of 3,600 employees, located in 90 countries, whose passion for technology is captured in 400 granted patents. As part of BCR Software Development group at Barco our vision is to be a world-class software team partnering with our businesses to offer successful software solutions and outcomes that delight our customers and set the trend in our dynamic markets. BCR (Barco Control Rooms) The Barco Control Rooms business unit is making workflow and visualization solutions for the Control Room market since 1994 to help operators collect, visualize and share critical information for optimal mission-critical decision making. Today, we are still the number one choice for control room professionals who want to stay on top of their situational awareness with 12000 installations for critical infrastructure and critical operations. Senior Software Engineer - DevOps for Workflow Innovation @ Barco We are seeking a hands-on DevOps Engineer to join the Barco CTRL Workflow Innovation team and support the development of a new AI-driven product from the ground up. The ideal candidate must have strong experience in GCP, cloud-native DevOps, and AI/MLOps practices, with proven ability to build reliable platforms, automation, CI/CD workflows, and deployment infrastructure for data and AI product capabilities. You will work with a globally distributed team to enable scalable, secure, and production-ready delivery of intelligent workflow solutions for Barco Control Rooms. About the Role As a Senior Software Engineer - DevOps in the Workflow Innovation team, you will be responsible for building and maintaining the cloud-native engineering foundation required to develop, test, deploy, and operate AI-driven product capabilities for Barco Control Rooms. This is not a classical DevOps role focused only on build pipelines and deployments; it requires hands-on experience with AI/MLOps, cloud infrastructure, data/AI workloads, automation, observability, and secure production operations. The role will also support deployment patterns where AI capabilities may need to run closer to the operational environment, including Edge AI scenarios, hybrid cloud-edge architectures, and efficient inference workflows for mission-critical control room use cases. You will collaborate with cloud partners, product owners, architects, Data & - AI engineers, developers, and validation teams across locations to enable fast, reliable, and secure delivery of workflow innovation capabilities. Build and maintain cloud-native DevOps and AI/MLOps infrastructure for the Workflow Innovation product on GCP. Design and implement CI/CD workflows for backend services, data pipelines, AI/ML components, model integration, and GenAI-enabled capabilities. Automate infrastructure provisioning, environment management, configuration, and deployment workflows using infrastructure-as-code practices. Enable deployment and operation of AI/ML workloads, including model serving, inference workflows, RAG-based components, vector search services, and related data/AI services. Support cloud-to-edge deployment and operational patterns for AI capabilities, including lightweight model packaging, inference deployment, monitoring, and lifecycle management for Edge AI scenarios. Establish observability, monitoring, logging, alerting, reliability, and cost-awareness practices for cloud-native Data & - AI product capabilities. Support secure handling of product data, secrets, access control, compliance needs, and cloud security best practices. Work closely with Data & - AI engineers and product teams to improve developer experience, release readiness, test automation, and operational reliability. Guide and mentor fellow colleagues in DevOps, cloud, and AI/MLOps practices while contributing to technical discussions and engineering excellence. Qualifications and Experience We are seeking experience with the following technologies/domains: Education: B. Tech./B. E./M. E./M. Tech. in Computer Science/AI Engineering Experience : 6-9 years of hands-on experience in DevOps, cloud platform engineering, SRE, AI/MLOps, or related product engineering roles. Robust hands-on experience with GCP is required, including relevant cloud-native compute, storage, networking, IAM, observability, and deployment services. Experience designing and implementing CI/CD pipelines for cloud-native applications, backend services, data .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.