Top 11 On Prem Knowledge Graph Container Jobs

DevOps Engineer | Enterprise Solutions Delivery
NITSDATA —Snoqualmie, WA
- Contract
- DevOps
- Research
- 3 years
Data Engineer | Enterprise Solutions Delivery
NITSDATA —Snoqualmie, WA
- Contract
- Azure
- System design
- 3 years
Lead Search and AI Engineer
Electric Power Research Institute —North Carolina
- $145,000 - $175,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
- Paid holidays
- Disability insurance
Infrastructure Engineer, Customer Deployment
Reducto —San Francisco, CA
- $150,000 - $300,000 a year
- Full-time
- 5 years
- Office
- Continuous improvement
- Dental insurance
- Parental leave
ML Ops Engineer — Agentic AI Lab (Founding Team)
Fabrion —San Francisco Bay Area, CA
- Full-time
- DevOps
- HIPAA
- Mid-level
Infrastructure Software Engineer, Core Platform
Lumbra —Arlington, VA
- Full-time
- System design
- Office
- Senior level
- Commuter assistance
- Health insurance
Quick Apply
Senior AI/ML Engineer — LLM & Agent Stack
TrueFoundry —San Mateo, CA
- Computer Science
- Bachelor of Science
- System design
Cleared Software Engineer, Integrations
Lumbra —Arlington, VA
- Full-time
- Mid-level
- Office
- Python
- Commuter assistance
- Health insurance
Quick Apply
Senior AI Developer
Gene by Gene —Houston, TX
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 3 years
Quick Apply
2d
Forward Deployed Engineer, Infrastructure Specialist
Reducto —San Francisco, CA
- $150,000 - $300,000 a year
- Full-time
- 5 years
- Office
- Continuous improvement
- Dental insurance
- Parental leave
6d

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DevOps Engineer | Enterprise Solutions Delivery

NITSDATA
Snoqualmie, WA

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Job Details

Contract

Qualifications

Containerization systems
Research
Infrastructure architecture design
Linux
API integrations
Technical architecture
Linux administration
Python

Full Job Description

Snoqualmie,WA / Dallas,TX / Overland Park, Kansas

Contract

ID: 133443

Enterprise Solutions Delivery develops cutting edge innovative closed-loop analytics solutions, enabling insights-driven decision making across the enterprise. We collaborate with multiple functional areas and impact every element of our business: corporate, security, networks, retail, IT and others. We are looking for a result-oriented DevOps engineer to be part of the team building scalable systems that can handle big data solutions, building and deploying components for container technologies such as Docker and Kubernetes. Will be taking ownership of performance / scalability tuning and building technical infrastructure on-prem and Azure. You will need to understand the business objectives, think like an end user, and know that 90% done is only half done. You love beautiful, simple user interfaces, and you constantly wonder what you could have done to simplify your last project. You are passionate about e2e architecture and database design, focusing on flexibility and scalability. You prioritize API design, as this is a must to build scalable, future-proof products. You will work closely with data scientists / ML engineers, cloud, and full stack experts to build advanced analytics platform in a hybrid environment integrating on[1]prem assets, Azure infrastructure and services.

Essential Functions • You will be responsible for deploying and managing components including Machine Learning models on-prem Kubernetes and Azure cloud • Support building custom images for ML environments including python packages, pickled models. • The role will require extensive experience and knowledge with Kubernetes architecture to help with all Kubernetes clusters and deployments • SME in Kubernetes and Docker • Participate in research, POC for 3rd party integrations with Kubernetes, and testing new Kubernetes features and technologies • Participate in technical design discussions, influencing the team in strategic decisions • Work with data scientists / ML engineers, software developers and interfacing internal customers to translate their requirements to features and develop those solutions • Responsible for other duties/projects as assigned by business management / leadership.

Qualifications Minimum Required • 5+ years' experience with DevOps or Build Engineer • 3+ years' experience with hands-on management and administration of Kubernetes platforms and clusters • 3+ years' network experience deploying applications within Kubernetes. • 3+ years' experience with containers and orchestration services like Docker, Kubernetes etc. • Strong experience in Python scripting • In-depth, hands-on experience with Linux, networking, server, and cloud architectures

Desired • CNCF Certified Kubernetes Administrator (CKA) • Kubeflow experience • Graph database experience • Spark streaming • Splunk knowledge is a Plus • Experience in deploying ML models • Shell and YAML scripting experience • Managing Dask and Spark clusters • Knowledge of AKS, ACI, Azure Cloud • Ability to work cross functionally with engineering and operations teams • Bachelor's Degree, preferably from a science or engineering background.

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Refine Your Search

On Prem Knowledge Graph Container jobs

DevOps Engineer | Enterprise Solutions Delivery

Data Engineer | Enterprise Solutions Delivery

Lead Search and AI Engineer

Infrastructure Engineer, Customer Deployment

ML Ops Engineer — Agentic AI Lab (Founding Team)

Infrastructure Software Engineer, Core Platform

Senior AI/ML Engineer — LLM & Agent Stack

Cleared Software Engineer, Integrations

Senior AI Developer

Forward Deployed Engineer, Infrastructure Specialist

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