Senior MLOps Platform Engineer {S}
Core
Build and operate the infrastructure powering next-generation Agentic AI services at scale, turning experimental models into reliable production services.
Role type
Senior MLOps Platform Engineer
Builds
Unified MLOps platform spanning on-premise Kubernetes and AWS for Agentic AI services
Domain
AI Infrastructure / Cloud / Hybrid On-Premise
Deliverable
production ML models
Required skills
Kubernetes, AWS (EKS, SageMaker, S3, IAM, CloudWatch), Python, Go/Rust/Java, CI/CD (GitLab, Argo CD, Flux), Distributed Systems, Data Engineering (Airflow, Kafka, Spark), Observability (Prometheus, Grafana, OpenTelemetry)
Preferred skills
Scrum, Agile
Technologies
Kubernetes, Helm, Docker, OCI, GitLab CI, Argo CD, Flux, Prometheus, Grafana, OpenTelemetry, CloudWatch, S3, EKS, SageMaker, Airflow, Kafka, Spark, Flink
Responsibilities
Design and operate unified MLOps platform for Agentic AI; Develop reusable CI/CD pipelines for model packaging and deployment; Build observability and alerting capabilities; Create self-service CLIs and SDKs for model management; Architect data pipelines for training and inference; Optimize inference performance via scaling and quantization; Champion security and operational best practices; Mentor junior engineers.
Seniority
Senior, hands-on IC
