Senior DevOps/MLOps
Core
Build automation and ensure reliability for machine learning model delivery from build to production within an enterprise information archiving and analytics environment.
Role type
Senior DevOps/MLOps Engineer (IC)
Builds
CI/CD pipelines, Kubernetes deployments, and automated tooling for ML model delivery
Domain
Enterprise Information Archiving, Cloud Security, Machine Learning Operations
Deliverable
production ML models | infrastructure
Required skills
CI/CD automation, Kubernetes, Docker, Python, Git branching models, configuration management, secret rotation, no-downtime deployments, mentoring junior engineers, distributed event streaming (Kafka), instrumentation and monitoring (Splunk, Loki, Zabbix, Prometheus), artifact repositories (Artifactory, npm), relational databases (CockroachDB, PostgreSQL)
Preferred skills
MLFlow, JupyterHub, DVC, TensorFlow, containerized GPU workloads, NoSQL/vector databases, Large Language Model support
Technologies
Jenkins, Kubernetes, Docker, Python, Kafka, Splunk, Loki, Zabbix, Prometheus, Artifactory, npm, CockroachDB, PostgreSQL, MLFlow, TensorFlow
Responsibilities
Develop tools and frameworks to enhance CI/CD automation; Deploy services to Kubernetes using CI/CD pipelines; Monitor and ensure smooth operation of services across environments; Provide initial troubleshooting by reviewing dashboards and logs; Mentor Junior and Intermediate DevOps/MLOps engineers
Seniority
Senior, hands-on IC with mentoring responsibilities
