Software Engineer
Barco (company site, opens in a new tab)3–6 yrsNoidaOn-siteDirect career pageEst. 12–22 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain cloud-native DevOps and AI/MLOps infrastructure on GCP to support AI-driven product capabilities for Barco Control Rooms.
- Design and implement CI/CD pipelines, automate infrastructure provisioning, and enable deployment and operation of AI/ML workloads including Edge AI and hybrid cloud-edge scenarios.
- Establish observability, security, compliance practices and collaborate cross-functionally to ensure reliable, secure, and scalable delivery of intelligent workflow solutions.
Minimum Requirements
- 3-6 years of hands-on experience in DevOps, cloud platform engineering, SRE, AI/MLOps, or related product engineering roles.
- Strong hands-on experience with Google Cloud Platform (GCP) including compute, storage, networking, IAM, observability, and deployment services.
- Bachelor's or Master's degree in Computer Science, AI Engineering, or related field (B.Tech/B.E/M.E/M.Tech).
- Proven experience in designing and implementing CI/CD workflows for cloud-native applications and AI/ML workloads, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Helm).
Ideal Candidate Profile
- Experienced in AI/MLOps with capabilities in model deployment, inference, and GenAI-enabled services supporting critical mission workflows.
- Familiar with Edge AI, hybrid cloud-edge deployments and operational constraints such as latency and resource usage in production environments.
- Capable of collaborating across global, multidisciplinary teams including cloud partners, data & AI engineers, and product owners to drive engineering excellence and operational reliability.