Sr ML Ops Engineer

Join us at Entrust  

At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.  

Get to Know Us  

Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.  

Senior MLOps Engineer 

About the position 

We’re looking for an experienced MLOps Engineer to build and operate the platform and tooling that powers our identity-verification products. You’ll join a team supporting Applied Scientists and Machine Learning Engineers across countries. Our mission is to accelerate the path from ML research to production by building intuitive platform abstractions that let engineers focus on model innovation rather than infrastructure complexity. 

What you will do  

• Run and evolve our ML compute layer on Kubernetes/EKS (CPU/GPU) for multi-tenant workloads, and make workloads portable across regions (region-aware scheduling, cross-region data access, and artifact portability). 

• Operate Argo Workflows and Dask Gateway as reliable, self-serve services used by engineers and researchers to orchestrate data prep, training, evaluation, and large-scale batch compute (installation, upgrades, security, quotas, autoscaling). 

• Build GitOps-native delivery for ML jobs and platform components (GitLab CI, Helm, FluxCD) with fast rollouts and safe rollbacks.  

• Design and maintain our data platform built on LakeFS to enable experiment reproducibility, data lineage tracking, and automated governance processes. 

• Own developer experience and enablement by creating clear APIs/CLIs and minimal UIs, maintaining comprehensive templates and documentation. 

You will have some MLOps experience as well as  

• You value developer experience and enjoy talking to users (engineers/scientists), removing friction, and treating the platform like a product. 

• Production experience with AWS and Kubernetes (EKS), including GPU workloads. 

• Proficiency in Python (e.g., FastAPI/Django) and solid CS fundamentals (performance, concurrency, data structures). 

• Experience building/operating data pipelines (idempotency, retries, backfills, reproducibility). 

• Working knowledge of Terraform, Helm, Docker, Git, and GitLab CI/CD.  

• Observability experience with Prometheus/Grafana and logs (e.g., Loki/Promtail or Splunk/Sentry) with sensible alerting. 

• Good grasp of networking and security concepts and Linux systems administration. 

​

Nice to have 

• Experience with distributed compute frameworks such as Dask, Spark, or Ray. 

• Familiarity with NVIDIA Triton or other inference servers.