Overview
Hybrid
$40 - $50
Contract - W2
Contract - 12 Month(s)
Skills
Amazon Web Services
Artificial Intelligence
Bash
Confluence
Continuous Delivery
Continuous Integration
DevOps
Docker
Documentation
Jenkins
Kubernetes
Operational Excellence
Orchestration
Scripting
Python
Terraform
IaaS
Design Patterns
Provisioning
Job Details
Job Title: Ent DevOps Consultant
Location: Holyoke, MA (Hybrid Role)
Contract Length: 12 months (possibility of extension)
Candidate Requirements:
Company seeks a consultant to accelerate the expansion of internal development platform capabilities through automation, DevOps best practices, and AI-driven innovation. This role will focus on implementing scalable internal processes that evolve into productized offerings for developer self-service and operational excellence.
Consultant Requirements:
- 5+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure Automation.
- Design and implement reusable automation patterns across CI/CD, infrastructure provisioning, and environment management.
- Documented and standardized internal DevOps workflows by creating detailed Confluence pages and operational runbooks, enabling consistent deployment, monitoring, and troubleshooting practices across teams.
- Build pipelines that standardize application builds, image management, Terraform module publishing, and environment promotion.
- Translated technical automation initiatives into repeatable, scalable processes, operationalizing infrastructure provisioning, CI/CD pipelines, and secure coding practices into well-documented frameworks for developer self-service.
- Research, prototype, and integrate AI assistants and agents into our delivery pipelines (e.g., AI-seeded documentation, PR reviewers, test generators).
- Strong proficiency with AWS, including services such as ECS, EKS, Lambda, CloudWatch, IAM, and networking components.
- Expertise in Terraform and infrastructure-as-code design patterns.
- Extensive experience in CI/CD pipeline development, preferably using Jenkins or similar tools.
- Strong knowledge of containerization and orchestration, including Docker and Kubernetes.
- Practical experience with scripting or general-purpose languages (Python, Bash, Go, or similar).
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.