Overview
On Site
$120,000 - $140,000
Full Time
No Travel Required
Skills
Agile
Continuous Delivery
Continuous Integration
Continuous Integration and Development
Amazon EC2
Amazon S3
Amazon Web Services
Cloud Computing
Collaboration
Dashboard
DevOps
Docker
Git
Google Cloud
Google Cloud Platform
Grafana
Kubernetes
Machine Learning (ML)
Management
Network Security
Orchestration
Real-time
Slack
Terraform
Version Control
Visualization
Job Details
Fulltime Requirement with our Direct Client.
Must Have Technical/Functional Skills
- Designing and implementing highly available and scalable systems on AWS
- Creating and managing AWS resources such as EC2 instances, S3 buckets, VPCs, etc
- Hands-on knowledge of Lightspeed, Udeploy
- Experience with version control systems (e.g., Git) and CI/CD pipelines
- Experience with serverless frameworks and event-driven architecture
- Experience with containerization and orchestration using Docker and Kubernetes (AWS EKS)
- Developing and maintaining deployment pipelines using tools such as AWS CodePipeline and AWS CodeDeploy
- Implementing and managing monitoring and alerting systems to detect and respond to issues in real-time.
- Implementing and managing security best practices for AWS resources, including IAM policies, network security, and data encryption
- Knowledge of DevOps practices and tools
- Collaborating with development teams to integrate their applications with AWS services
- Experience in Agile methodology
- Deploy, configure, and manage Prometheus for metrics collection and alerting.
- Develop and maintain custom exporters and metric integrations.
- Configure Prometheus Alertmanager and route alerts via Slack, PagerDuty, or email.
- Collaborate with DevOps and application teams to define monitoring needs and metrics.
- Troubleshoot and tune Prometheus performance in high-scale environments.
- Maintain infrastructure as code for observability components (Terraform/Helm preferred).
Roles & Responsibilities:
- Knowledge of CICD automation.
- Knowledge of DevOps practices and Monitoring tools like Prometheus.
- Certification in cloud technologies (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer).
- Experience working in Agile development methodologies.
- Build Grafana dashboards for real-time visualization and operational insights.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.