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Eliassen Group

Job Details

Skills

FOCUS
Life Insurance
Storage
ProVision
Incident Management
Computer Networking
Dragon NaturallySpeaking
DNS
Collaboration
Analytical Skill
Data Engineering
IaaS
Systems Engineering
Docker
Kubernetes
Linux Administration
Continuous Integration
Continuous Delivery
DevOps
GitLab
Analytics
PostgreSQL
MySQL
RDBMS
Stakeholder Engagement
Terraform
Management
Amazon Web Services
Amazon SageMaker
Cloud Computing
Optimization
New Relic
Snow Flake Schema
NoSQL
Machine Learning (ML)
Data Science
Microsoft Azure
Google Cloud
Google Cloud Platform
Media
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

FOCUS
Life Insurance
Storage
ProVision
Incident Management
Computer Networking
Dragon NaturallySpeaking
DNS
Collaboration
Analytical Skill
Data Engineering
IaaS
Systems Engineering
Docker
Kubernetes
Linux Administration
Continuous Integration
Continuous Delivery
DevOps
GitLab
Analytics
PostgreSQL
MySQL
RDBMS
Stakeholder Engagement
Terraform
Management
Amazon Web Services
Amazon SageMaker
Cloud Computing
Optimization
New Relic
Snow Flake Schema
NoSQL
Machine Learning (ML)
Data Science
Microsoft Azure
Google Cloud
Google Cloud Platform
Media
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

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 -65

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 Google Cloud Platform.
Preferred: Prior experience within media, entertainment, or large enterprise environments.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

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.

Dice Id: cxelisen
Position Id: a1WUQ00000209jh2AA
Posted 2 days ago

Company Info

About Eliassen Group

Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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Eliassen Group

Job Details

Skills

FOCUS
Life Insurance
Storage
ProVision
Incident Management
Computer Networking
Dragon NaturallySpeaking
DNS
Collaboration
Analytical Skill
Data Engineering
IaaS
Systems Engineering
Docker
Kubernetes
Linux Administration
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Analytics
PostgreSQL
MySQL
RDBMS
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Management
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Snow Flake Schema
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Data Science
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Media
Screening
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FOCUS
Life Insurance
Storage
ProVision
Incident Management
Computer Networking
Dragon NaturallySpeaking
DNS
Collaboration
Analytical Skill
Data Engineering
IaaS
Systems Engineering
Docker
Kubernetes
Linux Administration
Continuous Integration
Continuous Delivery
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GitLab
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PostgreSQL
MySQL
RDBMS
Stakeholder Engagement
Terraform
Management
Amazon Web Services
Amazon SageMaker
Cloud Computing
Optimization
New Relic
Snow Flake Schema
NoSQL
Machine Learning (ML)
Data Science
Microsoft Azure
Google Cloud
Google Cloud Platform
Media
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

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 Google Cloud Platform.
Preferred: Prior experience within media, entertainment, or large enterprise environments.

Dice Id: cxelisen
Position Id: a1WUQ00000209jh2AA
Posted 2 days ago

Company Info

About Eliassen Group

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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