Infrastructure Cloud Engineer

Amtex Enterprises Inc; Trenton (NJ); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Amtex Enterprises Inc. is seeking an Infrastructure Cloud Engineer for a hybrid role in Trenton, NJ. The engineer will lead design, development, deployment, and monitoring of cloud infrastructure across AWS and Azure, ensuring secure, scalable solutions and adherence to SDLC guidelines.

The role requires strong Python/PySpark skills, IaC experience with Terraform/CloudFormation, and a track record of managing cloud data pipelines while collaborating with cross-functional teams.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

Responsibilities

• Lead design, development, maintenance, deployment, and monitoring of cloud infrastructure.

Skills

Cloud engineering

Python

PySpark

Generative AI

Linux/Windows administration

Root cause analysis

Project management

Data pipelines

SQL/NoSQL

Education

Bachelor's degree in Computer Science or related

Tools

Terraform

CloudFormation

AWS Glue

Lambda

EventBridge

SageMaker

EMR

RDS

Redshift

PostgreSQL

Job description

Job Title : Infrastructure Cloud Engineer
Location: Hybrid - Trenton, NJ (3 days onsite)
Duration: 12+ Months
Start: ASAP
Excellent communication skills are required
Experience in the design, development, deployment, and maintenance of Cloud Infrastructure (AWS and/or Azure)

Job Description

We are looking for an Infrastructure 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.

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.