TELECOMMUTE Systems Engineer
Softek International Inc.
United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English
Job source
Tech stack
Adobe Analytics
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Microsoft Azure
Bash Shell
Computer Clusters
Identity and Access Management
Python (Programming Language)
Windows PowerShell
Ansible
Microsoft Copilot
+17 more
AI Infrastructure
Data Logging
Multi-Agent Systems
AI Coding Agents
Amazon Virtual Private Cloud (VPC)
Git
Cloudformation
Servicebus
Kubernetes
Information Technology
Machine Learning Operations
Cloudwatch
Restful APIs
Terraform
AIOps
Docker
Databricks
Requirements
- 5+ years of relevant experience
- Experience in planning of systems and development deployment and meeting software compliance standards
- Experience evaluating hardware/software interfaces, operational requirements, and overall system characteristics
Technical Skills:
- AWS: EC2, S3, IAM, KMS, Lambda, ECS/EKS, Step Functions, CloudWatch, EventBridge, VPC networking
- Azure: Commercial Azure compute, storage, and networking
- Databricks: cluster/workspace administration, Workflows, GPU clusters
- Containers & orchestration: Docker, Kubernetes (EKS)
- Infrastructure-as-code & config management: Terraform, CloudFormation, Ansible, Git
- Observability: CloudWatch, centralized logging, alerting/incident management tools
- Languages: Python, Bash/PowerShell; integration via REST APIs
BS in Computer Science or related field
- Education substitution: HS/GED + 6 yrs, HS/GED + cert + 4 yrs, AA + 4 yrs, or AA + cert + 2 yrs additional experience
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Able to read, write, speak, and understand English
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Building and scaling AI infrastructure: GPU optimization, containerized model serving (ECS/EKS), and elastic compute for training and inference
- Designing architectures for agentic AI applications (agent orchestration, tool integration, secure API access)
- Using AIOps for predictive monitoring, anomaly detection, and automated incident triage to meet uptime SLOs
- Using AI coding assistants (e.g., AWS Kiro, Copilot, Codex) for infrastructure-as-code and system automation
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