DevOps Engineer

Job title: DevOps Engineer for AI-Driven Applications

Location: Jersey City, New Jersey - Hybrid (Flexible Days On-Site)

Contract type: Full-Time

Salary: Competitive Salary with Benefits

We are a specialized career platform connecting candidates with premier career opportunities. Our AI career agent, Hunter, works 24/7 to match talented professionals with roles that align perfectly with their skills, contract preferences, and career aspirations, both through our direct client network and broader market opportunities.

About the roleJoin a forward-thinking team at a leading tech company as a DevOps Engineer based out of Jersey City, NJ in a hybrid setup. In this role, you'll be designing and managing cloud infrastructure for AI-driven applications, a pivotal part of our innovative journey. Your work will revolve around cutting-edge technologies, making a significant impact on the future of AI infrastructure.

Responsibilities

• Design and manage cloud infrastructure supporting AI-driven applications.
• Develop CI/CD pipelines for streamlined deployments.
• Monitor system health, performance, and security consistently.
• Optimize infrastructure costs while ensuring availability and recovery readiness.
• Build and manage containerized environments.
• Automate processes using Infrastructure-as-Code (IaC) tools.
• Collaborate with engineering teams to ensure infrastructure aligns with project goals.
• Establish robust security practices across all platforms.

Requirements

• Must be located within a 50 miles radius around Jersey City, NJ.
• Must have 5 years of experience in cloud infrastructure management with platforms such as Azure, AWS, or Google Cloud.
• At least 3 years of experience with DevOps tools and practices, including CI/CD and configuration management.
• Experience managing containerized applications with Docker and Kubernetes.
• Proficient in Infrastructure-as-Code tools such as Terraform, CloudFormation, or Pulumi.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK, or Datadog.
• Must be authorized to work in the U.S. without current or future employer sponsorship.

Preferred skills

• Experience with data-driven and AI architectures.
• Background in embedded and edge computing platforms.
• Expertise in optimizing ML cloud workloads.
• Strong scripting skills in Elixir or Angular.

Application processThe first step will be with our AI career agent, Hunter, who'll get to know you better to match you with this and other roles. Afterwards you'll be evaluated by the hiring team.