Cloud Engineer

Posted 2 Days Ago
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Hiring Remotely in State, Laguna de Perlas, Región Autónoma del Atlântico Sur, NIC
Remote
70-73 Hourly
Senior level
Information Technology • Consulting
The Role
Designs, develops, deploys, maintains, and monitors cloud infrastructure and data pipelines across AWS and Azure. Supports cloud application environments, Linux and Windows systems, infrastructure as code, databases, and workflow tools. Leads SDLC processes and technical projects, develops monitoring dashboards, troubleshoots infrastructure through root cause analysis, and evaluates solutions to meet business requirements. Requires collaboration with cross-functional teams and expertise in Python, PySpark, generative AI, LLMs, and cloud services.
Summary Generated by Built In
Cloud Engineer

Req number:

R8433

Employment type:

Full time

Worksite flexibility:

HybridWho we are

CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

As a Cloud Engineer, you will lead the design, development, maintenance, and deployment, as well as monitor the Cloud infrastructure.

Job Description

We are looking for a Cloud Engineer to lead the design, development, maintenance, and deployment, as well as monitor the Cloud infrastructure. The Cloud Engineer will research, design, develop, run tests, and evaluate systems that support cloud implementation and integrate with cloud service providers, applying principles and techniques of computer science, engineering, and mathematical analysis. This position will be full-time and hybrid in Trenton, NJ. Only work authorizations not requiring sponsorship now or in the future will be considered.

What You’ll Do

  • Lead the design, development, maintenance, deployment, and monitoring infrastructure

  • Research, design, develop, test, and evaluate systems that support cloud implementation and integrate with cloud service providers, applying principles and techniques of computer science, engineering, and mathematical analysis

  • Support cloud resources to administer, monitor, troubleshoot, and support the Departments cloud application environments/infrastructure

  • Participate in and ensure adherence to all aspects of the Software Development Lifecycle (SDLC) including planning, requirements, development, testing, quality assurance, and deployments

  • The resource will architect and implement the design, development, and maintenance of cloud infrastructure and data pipelines within Amazon Web Services (AWS) and Microsoft Azure in accordance with best practices and strategies

  • Establishes, implements, and oversees processes for moving software changes through the development life cycle

  • Ensures metric dashboards are developed and established for tracking and monitoring project successes

  • Develop and enhance cloud environments including deploying cloud infrastructure, storage layers, and database engines to satisfy business requirements

  • Ensure adherence to project goals while managing risks and issues; assess alternate solutions to accomplish goals

  • Experience supporting and working with cross-functional teams in a dynamic environment with inept ability to communicate

  • Ensure adherence to project goals while managing risks and issues; assess alternate solutions to accomplish goals

What You’ll Need

Required:

  • Bachelors degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

  • Minimum 5 years’ experience in Cloud Engineering with proven experience with AWS and/or Azure Cloud infrastructure

  • Experience supporting cloud application environments and infrastructure

  • Experience supporting Linux and Windows environments

  • Experience in Infrastructure as Code (Terraform/CloudFormation)

  • Experience with Python and PySpark

  • Experience with Generative AI and Large Language Models (LLMs)

  • Experience performing root cause analysis on cloud infrastructure to answer specific business and application development teams questions and identify opportunities for improvement

  • Strong project management and organizational skills, must have experience leading Technical Projects

  • Experience with relational SQL and NoSQL databases, including Postgres

  • Experience with data pipeline and workflow management tools including AWS Glue, Lambda, Event Bridge, etc.

  • Experience with AWS and Azure cloud services such as EC2, AWS Bedrock, SageMaker, EMR, RDS, Redshift

  • Experience with object-oriented/object function scripting languages like Python, Java, etc.

Physical Demands

  • Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards

  • Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

  • Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard and monitor

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 – 8111.

EEO Statement

It is the policy of Computer Aid, Inc.(CAI) not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. It is also the policy of CAI to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

 

Employees and applicants of CAI will not be subject to harassment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited.

$70-$73 per hour

The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

Skills Required

  • Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
  • Minimum 5 years of cloud engineering experience with AWS and/or Azure cloud infrastructure
  • Experience supporting cloud application environments and infrastructure
  • Experience supporting Linux and Windows environments
  • Experience with Infrastructure as Code using Terraform or CloudFormation
  • Experience with Python and PySpark
  • Experience with generative AI and large language models
  • Experience performing root cause analysis on cloud infrastructure
  • Strong project management and organizational skills, including experience leading technical projects
  • Experience with relational SQL and NoSQL databases, including PostgreSQL
  • Experience with data pipeline and workflow management tools such as AWS Glue, Lambda, and EventBridge
  • Experience with AWS and Azure services including EC2, Bedrock, SageMaker, EMR, RDS, and Redshift
  • Experience with object-oriented or object-functional scripting languages such as Python or Java

CAI (cai.io). Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CAI (cai.io). and has not been reviewed or approved by CAI (cai.io)..

  • Retirement Support Retirement contributions and an ownership component are highlighted as standout perks and positioned as a key strength of the package. This is framed as a notable differentiator within the overall offering.
  • Wellbeing & Lifestyle Benefits A wellness program that can reduce medical premiums, an Employee Assistance Program, and active employee resource groups are emphasized. A work-from-anywhere philosophy and flexible scheduling are also presented as quality-of-life benefits when client needs allow.
  • Affordable Benefits The primary medical setup is described as a high-deductible option with low premiums and an HSA contribution, which some view as cost-effective. Wellness participation is stated to further lower monthly premiums.

CAI (cai.io). Insights

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The Company
HQ: Indianapolis, IN
2,689 Employees

What We Do

CAI is a global services firm with over 8,700 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what’s right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise

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