Container Engineer at TEKsystems

Description:

Design, engineer, build and deliver AI Infrastructure and Platform solution for Model Development (Training) and Model Deployment (Inference). This is not an Operational Support role but an Architecture and Engineering role.

"Primary Skills/ Required Skills:

• Docker and Container (Kubernetes) expertise

• Design/Build Engineering experience with AI Infrastructure or Infrastructure Platforms

• Excellent documentation and articulation skills

• Architecture and Strategy

• Analytical Thinking

• Constraint-driven Decision Maki

• Docker Containerization and Orchestration – strong understanding of pods, services and deployments

• Collaborate with AI/ML teams to understand their requirements and translate them into scalable Kubernetes-based infrastructure solutions.

• Docker, Operators and Helm charts

• Understanding of Kubernetes security best practices (e.g., RBAC, network, and pod security policies)

• Ability to set up monitoring, logging, and alerting for Kubernetes clusters using Prometheus/Grafana

• Optimize Kubernetes cluster performance, resource utilization.

• Python, JSON"

"Hands on experience in building and supporting critical applications that are performant, highly available and resilient, Adhere to strict Regulatory and Compliance guidelines, Work in collaborative environment across CTO and CIO teams.

• Linux Skills

• Proficiency with Python and/or Shell Scripting

• System Engineering – Compute, Networking, Storage

• Experience working with Prometheus and Grafana"

Skills:

Automation, Artificial intelligence, Test automation, Python, continuous automation, kubernetes, linux, containerization, application development, docker containers, docker, prometheus, architecture, architectural design, design-build, shell script, linux administration, rhel, cloud, windows, devops, scripting, red hat, ansible, powershell, linux red hat

Top Skills Details:

Automation,Artificial intelligence,Test automation,Python,continuous automation,kubernetes,linux,containerization,application development,docker containers,docker,prometheus,architecture,architectural design,design-build,shell script,linux administration

Additional Skills & Qualifications:

Desired Skills below

"• Desired outcomes of AI Platforms required to support the Data Scientist community

• AI Frameworks (e.g., PyTorch, TensorFlow)

• Linux Resource Management Tools – SLURM

• Nvidia Software Stack – CUDA, TensorRT, Triton Inference Server

• Jupyter Notebook

• Kubernetes Orchestration and Docker/Container​"

"• Desired outcomes of AI Platforms required to support the Data Scientist community

• AI Frameworks like PyTorch

• Linux Resource Management Tools – SLURM

• Nvidia Software Stack – CUDA, TensorRT, Triton Inference Server

• Jupyter Notebook​"

• Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: 
• Medical, dental & vision 
• Critical Illness, Accident, and Hospital 
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available 
• Life Insurance (Voluntary Life & AD&D for the employee and dependents) 
• Short and long-term disability 
• Health Spending Account (HSA) 
• Transportation benefits 
• Employee Assistance Program 
• Time Off/Leave (PTO, Vacation or Sick Leave) 

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.