Senior Infrastructure Engineer

Eliassen Group; Orlando (FL); Hybride; USD 116 000 - 118 000; Plein temps

Résumé du poste

Eliassen Group is seeking a Senior Infrastructure Engineer to support cloud infrastructure powering analytics platforms, optimization engines, and ML workloads in Orlando, FL. The role emphasizes scalable, secure, and cost-efficient cloud solutions in collaboration with data science and engineering teams.

The position is hybrid: four days on site with one remote day, and offers W2 or corp-to-corp options, with benefits including medical, dental, vision, 401k, and life insurance.

Qualifications

• 5+ years of cloud infrastructure and systems engineering experience.
• Strong AWS administration and architecture experience.
• Advanced Terraform and Infrastructure-as-Code expertise.
• Experience with Docker, Kubernetes, and serverless technologies.
• Strong Linux administration skills.
• Experience with CI/CD and DevOps tools such as GitLab, Airflow, or similar platforms.
• Experience with monitoring, logging, alerting, and observability frameworks.
• Working knowledge of AWS IAM, security best practices, and least-privilege access models.
• Experience supporting large-scale data and analytics environments.
• Familiarity with AI/ML concepts and AI-assisted development tools.

Responsabilités

• Manage AWS cloud environments including compute, networking, storage, and security.
• Design and provision infrastructure for analytics and machine learning workloads using Terraform.
• Develop and enforce infrastructure standards, best practices, and architectural patterns.
• Support production environments, incident management, troubleshooting, and reliability initiatives.
• Implement monitoring, observability, and SLO-driven operational practices.
• Optimize cloud spend and resource utilization.
• Design and maintain AWS networking components including VPCs, subnets, security groups, load balancers, and DNS.
• Collaborate with development teams to deploy and support analytical applications.
• Partner with data science and data engineering teams to operationalize analytics and machine learning solutions.

Connaissances

AWS

Linux

Terraform

Docker

Kubernetes

CI/CD

DevOps

Observability

Security best practices

Communication

Outils

Terraform

Docker

Kubernetes

GitLab

Airflow

Datadog

New Relic

CloudWatch

SageMaker

Bedrock

Description du poste

Description

Hybrid 4 days on site/1 remote in Orlando, FL

Our client seeks a Senior Infrastructure Engineer to support and evolve cloud infrastructure powering analytics platforms, optimization engines, and machine learning workloads. The role will focus on building scalable, secure, and cost-effective cloud solutions while partnering with data science, analytics, engineering, and business teams.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $84.00 to $86.00/hr. w2

JN -112026-109365

Responsibilities:

• Manage AWS cloud environments including compute, networking, storage, and security.
• Design and provision infrastructure for analytics and machine learning workloads using Terraform.
• Develop and enforce infrastructure standards, best practices, and architectural patterns.
• Support production environments, incident management, troubleshooting, and reliability initiatives.
• Implement monitoring, observability, and SLO-driven operational practices.
• Optimize cloud spend and resource utilization.
• Design and maintain AWS networking components including VPCs, subnets, security groups, load balancers, and DNS.
• Collaborate with development teams to deploy and support analytical applications.
• Partner with data science and data engineering teams to operationalize analytics and machine learning solutions.

Experience Requirements:

• 5+ years of cloud infrastructure and systems engineering experience.
• Strong AWS administration and architecture experience.
• Advanced Terraform and Infrastructure-as-Code expertise.
• Experience with Docker, Kubernetes, and serverless technologies.
• Strong Linux administration skills.
• Experience with CI/CD and DevOps tools such as GitLab, Airflow, or similar platforms.
• Experience with monitoring, logging, alerting, and observability frameworks.
• Working knowledge of AWS IAM, security best practices, and least-privilege access models.
• Experience supporting large-scale data and analytics environments.
• Familiarity with AI/ML concepts and AI-assisted development tools.
• Experience with PostgreSQL, MySQL, MariaDB, or other relational database platforms.
• Strong communication and stakeholder engagement skills.
• Preferred: Deep Terraform expertise including module development and state management.
• Preferred: AWS Certified Solutions Architect certification.
• Preferred: Experience with AWS AI/ML services such as SageMaker and Bedrock.
• Preferred: FinOps and cloud cost optimization experience.
• Preferred: Experience with Datadog, New Relic, CloudWatch, or similar observability platforms.
• Preferred: Snowflake experience and knowledge of NoSQL and semi-structured data platforms.
• Preferred: Experience supporting machine learning and data science environments.
• Preferred: Exposure to Azure and/or GCP.
• Preferred: Prior experience within media, entertainment, or large enterprise environments.