Sr. DevOps Engineer / AWS AI Platform Engineer
Javen Technologies, Inc
Farmington Hills, MI, United States
5 days ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Amazon S3
Cloud Computing
Continuous Integration
DevOps
Amazon DynamoDB
Identity and Access Management
Python (Programming Language)
PostgreSQL
Routing
Shell Script
+13 more
Data Logging
Enterprise Software Applications
System Availability
Infrastructure as Code (IaC)
Amazon Virtual Private Cloud (VPC)
Containerization
AI Platforms
Amazon Bedrock
Deployment Automation
AWS Fargate
Cloudwatch
Terraform
Docker
Job description
The Sr. DevOps Engineer / AWS AI Platform Engineer is responsible for designing, implementing, and supporting secure, scalable, and resilient AWS infrastructure for enterprise applications. This role focuses on cloud infrastructure, Infrastructure as Code (IaC), CI/CD, containerized workloads, security, networking, observability, automation, and operational readiness., * Design, provision, and maintain AWS infrastructure using Terraform and Infrastructure as Code.
- Build and support CI/CD pipelines and automated deployment processes.
- Manage containerized workloads using Amazon ECS, AWS Fargate, Docker, and Amazon ECR.
- Support AWS services including S3, RDS/PostgreSQL, DynamoDB, Amazon Bedrock, CloudWatch, IAM, KMS, Secrets Manager, and EventBridge.
- Configure and support VPC networking, security groups, routing, private connectivity, encryption, and access controls.
- Implement monitoring, logging, alerting, and operational dashboards.
- Troubleshoot infrastructure, deployment, networking, performance, and connectivity issues.
- Ensure platform reliability, scalability, resiliency, security, and operational readiness.
- Partner with application, AI, data, security, architecture, and operations teams.
- Maintain infrastructure documentation, architecture diagrams, deployment standards, and operational procedures.
Requirements
- cloudwatch
- Docker
- ECS/Fargate
- Experience supporting AI-enabled applications and Amazon Bedrock
- Experience working within large enterprise or regulated environments
- Git/GitHub
- IAM
- Python or shell scripting for infrastructure and deployment automation
- Strong understanding of AWS security, monitoring, high availability, and production operations
- Terraform, * 8+ years of experience in DevOps, AWS cloud engineering, platform engineering, or related roles.
- Strong hands-on experience with AWS, Terraform, ECS/Fargate, Docker, , Git/GitHub, IAM, networking, and CloudWatch.
- Experience with Python or shell scripting for infrastructure and deployment automation.
- Strong understanding of AWS security, monitoring, high availability, and production operations.
- Experience working within large enterprise or regulated environments.
- Experience supporting AI-enabled applications and Amazon Bedrock.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this roleβ¦