Overview
On Site
140k - 200k
Full Time
Skills
Startups
Artificial Intelligence
Cloud Computing
Go-To-Market Strategy
Finance
SaaS
FOCUS
High Availability
Collaboration
Sales
Computer Science
Amazon Web Services
Microsoft Azure
Amazon EC2
Amazon S3
Virtual Private Cloud
Remote Desktop Services
Amazon RDS
Management
Kubernetes
Linux
Shell Scripting
Terraform
Scripting
Python
Bash
Continuous Delivery
Jenkins
GitLab
Continuous Integration
GitHub
SAP BASIS
Job Details
Forward Deploy Engineer
As a Forward Deploy Engineer, you'll play a critical role in deploying powerful AI systems into production across both cloud-based and on-premise environments. You'll work closely with engineering, operations, and go-to-market teams to ensure smooth delivery and performance for top-tier financial institutions.
This position is onsite 5 days a week in NYC.
Responsibilities:
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
This position doesn't provide sponsorship.
As a Forward Deploy Engineer, you'll play a critical role in deploying powerful AI systems into production across both cloud-based and on-premise environments. You'll work closely with engineering, operations, and go-to-market teams to ensure smooth delivery and performance for top-tier financial institutions.
This position is onsite 5 days a week in NYC.
Responsibilities:
- Rapidly deploy and customize Kubernetes-based applications across SaaS and customer-managed environments
- Design, deploy, and maintain AWS and/or Azure infrastructure with a focus on high availability and resilience
- Implement and manage observability using tools like Datadog
- Leverage Helm to manage Kubernetes clusters and streamline deployments
- Develop and maintain Infrastructure as Code (Terraform) and automation scripts (Python/Bash)
- Collaborate across engineering, operations, and sales to understand customer needs and ensure successful deployments
Requirements: - Bachelor's degree in Computer Science, IT, or related field
- 1-3 years experience with AWS and/or Azure (EC2, S3, VPC, RDS, etc.)
- 1-2 years hands-on experience managing Kubernetes in production
- Experience with Datadog or similar monitoring tools
- Strong background in Linux systems and shell scripting
- Solid understanding of Terraform and Infrastructure as Code principles
- Scripting proficiency in Python and/or Bash
- Familiarity with CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions)
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
This position doesn't provide sponsorship.
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.