Job Specifications
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.
FinOps best practices and cost attribution for multi-tenant ML infrastructure.
Exposure to multi-region designs (dataset replication strategies, compute placement, and latency optimization).
Tech stack & environment
Container Orchestration: Kubernetes (EKS)
Compute: Argo Workflows for orchestration and Dask for Distributed Computing
ML Experiment Tracking: Weights & Biases
Data (Lakehouse & Versioning): Apache Iceberg + AWS Athena, LakeFS, Snowflake
CI/CD & GitOps: GitLab CI, Helm, FluxCD
Infrastructure as Code: Terraform
Observability: Prometheus/Grafana, Loki/Promtail, Datadog, Sentry
Languages & Libraries: Python (Django, FastAPI, Pydantic, boto3)
AWS Services: S3, EC2, RDS/PostgreSQL, ECR, IAM, Lambda, Step Functions
Remote & hybrid options available within the following locations:
France
UK
Portugal
Spain
Benefits France
25 days annual leave plus + RTT + 1 day off for your birthday
Two paid volunteering days per year*
Meal Vouchers provided by Swile. 50% Covered and 50% is deducted from your payroll.
Health Insurance (Mutuelle) provided by ALAN
Disability & Life insurance (Prevoyance) provided by ALAN (3x Base Salary)
Commuter reimbursement up to €40 per month
Life enrichment allowance of up to €95 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy
Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more
Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events
Expense up to £300 (or local equivalent) to purchase workstation setup equipment
The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups
Benefits UK
25 days annual leave plus a day off for your Birthday.
Two paid volunteering days per year.*
Bupa Private Medical and Dental Insu