Barco
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Electronics Manufacturing · 1001 to 5000 Employees · Kortrijk, Belgium
Enabling bright outcomes Imagine a way to see, sense, and share the intangible. It’s what happens when big data becomes knowledge. When images become insight. And when experiences come to life. That’s what Barco is all about. In a world where data and rich content are expanding exponentially, we empower you with impressive visualization and innovative collaboration solutions to help you make meaningful connections. For us, it’s you – the customer - that counts. We help you achieve your goals, whether it’s protecting the health and safety of millions, creating magical moments, or supporting people to work smarter together. We help you get the most out of what you do every day. So together, we create brighter outcomes, around the world.
Hiring: Engineering
What employees say
+ Good place to work with multiple opportunities, supportive people.
− Project qualities needs to be improved.
More reviews on the company profile.
Interview experience · Senior Software Engineer
First Round was good and the recruiter question was on point.Mostly asking about rate limiter, system design, nodejs concepts and in the end react also. Some coding and output question also there and i am able to solve a
Average difficulty · Noida · 37 reports
More interview insightsJob description
Overview
Senior Software Engineer- DevOps for Workflow Innovation in Barco Control Rooms @Barco 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.
Qualifications
- 6-9 years of hands-on experience in DevOps, cloud platform engineering, SRE, AI/MLOps, or related product engineering roles.
- Strong hands-on experience with GCP is required, including relevant cloud-native compute, storage, networking, IAM, observability, and deployment services.
- Hands-on experience with AI/MLOps practices, including model deployment, model serving, inference workflows, experiment tracking, model versioning, and release automation for AI-enabled product features.
- Good understanding of cloud security practices, including IAM, secrets management, network security, secure deployment patterns, and least-privilege access.
- Exposure to data and AI platforms or services such as BigQuery, Vertex AI Vector Search, Dataflow, Dataproc, Cloud Run, GKE, Pub/Sub, vector databases, or equivalent technologies.
- Exposure to Edge AI concepts, hybrid cloud-edge deployments, on-device or near-device inference, model optimization, and operational constraints such as latency, reliability, connectivity, and resource usage is desirable.
- Good programming and scripting experience using Python, Bash, or similar languages, with ability to build automation and internal tooling.
- Understanding of DevSecOps practices, automated testing, quality gates, vulnerability scanning, dependency management, and secure software supply chain practices.
- Ability to collaborate with cloud partners, architects, Data & AI engineers, developers, product owners, and validation teams across geographies.
- Strong problem-solving mindset, ownership, operational discipline, and willingness to explore and adopt new technologies in AI, DevOps, and cloud engineering.
Education
- We are seeking experience with the following technologies/domains:
- B. Tech./B. E./M. E./M. Tech. in Computer Science/AI Engineering
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