Senior Infrastructure Engineer (AWS / Terraform)

Professional Search Group; Orlando (FL); Híbrido; USD 94.000 - 127.000; Jornada completa

Descripción de la vacante

Professional Search Group in Orlando, FL seeks a Senior Infrastructure Engineer to own and evolve the AWS infrastructure behind analytics platforms, ML pipelines, and optimization engines. You will collaborate with data scientists, engineers, and business teams to deploy scalable, secure cloud solutions.

The role requires 5+ years in cloud infrastructure, Terraform IaC, Docker and Kubernetes, and strong DevOps tooling experience.

Formación

• 5+ years in cloud infrastructure and systems engineering.
• Strong hands-on experience running AWS in production.
• Terraform and Infrastructure as Code (required).
• Docker, Kubernetes, and serverless architectures.
• CI/CD and DevOps tooling such as GitLab and Airflow.
• AWS networking: VPCs, load balancers, DNS, and security groups.
• IAM design and least-privilege security practices.
• Relational databases such as PostgreSQL, MySQL, or MariaDB.
• Experience with large, complex data and how it affects infrastructure.
• Comfort with AI/ML concepts and AI-assisted tools in daily work.
• Clear communication with both technical and non-technical partners.

Responsabilidades

• Manage production AWS environments across compute, networking, data, and security.
• Build and provision infrastructure for analytics and ML workloads with Terraform.
• Set infrastructure standards and best practices for the team.
• Lead troubleshooting and incident resolution for production issues.
• Own observability, including monitoring, alerting, and defining SLOs.
• Drive cloud cost optimization through right-sizing and eliminating waste.
• Design and maintain network architecture: VPCs, subnets, and security groups.
• Partner with developers, data scientists, and data engineers to deploy applications, ML solutions, and automated data pipelines.

Conocimientos

AWS production

Terraform

Docker

Kubernetes

CI/CD

GitLab

Airflow

Observability

Communication

Herramientas

Terraform

Docker

Kubernetes

GitLab

Airflow

Datadog

Descripción del empleo

Location and schedule

The role is based in Orlando, FL, and candidates must live in the Orlando area. You'll be onsite 4 days a week for roughly the first 1-2 months during onboarding. After that, it's hybrid with at least 2 days onsite.

Type: Contract, estimated 14 months. This is a W2 position as an employee of PSG.

Pay: $80/hr

Requirements: You must be authorized to work in the U.S. Corp-to-corp (C2C) and sponsorship arrangements are not available.

Professional Search Group (PSG) is hiring a Senior Infrastructure Engineer for a major entertainment company. You'll join an analytics and decision science team that supports business units across the company in revenue management, forecasting, pricing, and optimization.

In this role, you'll own and evolve the AWS infrastructure behind the team's analytics platforms, optimization engines, and ML pipelines. These systems directly shape business decisions across the company.

What you'll do

• Manage production AWS environments across compute, networking, data, and security
• Build and provision infrastructure for analytics and ML workloads with Terraform
• Set infrastructure standards and best practices for the team
• Lead troubleshooting and incident resolution for production issues
• Own observability, including monitoring, alerting, and defining SLOs
• Drive cloud cost optimization through right-sizing and eliminating waste
• Design and maintain network architecture: VPCs, subnets, and security groups
• Partner with developers, data scientists, and data engineers to deploy applications, ML solutions, and automated data pipelines

What you bring

• 5+ years in cloud infrastructure and systems engineering
• Strong hands-on experience running AWS in production
• Terraform and Infrastructure as Code (required)
• Docker, Kubernetes, and serverless architectures
• CI/CD and DevOps tooling such as GitLab and Airflow
• AWS networking: VPCs, load balancers, DNS, and security groups
• IAM design and least-privilege security practices
• Relational databases such as PostgreSQL, MySQL, or MariaDB
• Experience with large, complex data and how it affects infrastructure
• Comfort with AI/ML concepts and AI-assisted tools in daily work
• Clear communication with both technical and non-technical partners

Nice to have

• Advanced Terraform skills: module development, state management, and CI-driven plan/apply
• AWS AI/ML services such as Bedrock or SageMaker
• AWS Certified Solutions Architect (Associate or Professional)
• FinOps or cloud cost management experience
• Datadog, New Relic, or CloudWatch
• Snowflake, NoSQL, or semi-structured data stores