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Technical Lead DevOps & Security
Location: Gurugram,Haryana,India About US:- We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people…
IA Engineer
Colaboro con una startup internacional de HealthTech que está desarrollando un asistente clínico inteligente en tiempo real, diseñado por y para profesionales médicos. Su misión es transformar la atención sanitaria…
Senior Software Engineering, Vehicle Data Platform
Senior software developer on GM's unified Vehicle Data Platform, owning features across the on-vehicle control plane, data plane, SDK, and logging infrastructure delivered on Android, Linux, and QNX ECUs. Work spans design through release and field support, using C/C++ or Java/Kotlin with cloud integration via Azure, AWS, and Firestore.
Senior DevOps Engineer - Electronic Arts [EADV261006]
Senior DevOps Engineer designing and running AWS (and GCP) cloud infrastructure, Terraform-based IaC, CI/CD pipelines, Kubernetes, and observability stacks for high-concurrency Go microservices supporting an Electronic Arts game. Remote within Canada, aligned to Pacific Time business hours.
Développeur(se) Backend Sénior | Senior Backend Developer, Ads Privacy
Senior Backend Developer on Unity's Ads Privacy team in Quebec builds and operates high-QPS request-path systems that carry consent and opt-out signals from SDK to auction, enforce GDPR/CCPA privacy compliance, and support trust-and-safety and fraud prevention — using Golang (Java welcome), Kubernetes, and Kafka.
Java Developer
· Minimum 8 years working experience in relevant roles. · At least 5 years of software development experience on the Asset Control (Alveo) financial market data integration system · At least 4 years’ experience working…
DevOps Engineer
Build and maintain Kubernetes-based cloud-native platforms to enable fast, safe deployments and resilient operations for Toss’s offline payment ecosystem.
ML Engineer (ML/LLM Ops)
Build and operate ML/LLM platforms for a Korean neobank, focusing on stable, scalable, and secure model training, deployment, and serving using tools like MLflow, Kubeflow, Triton, and vLLM.




