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.
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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.
