Haystack
← Back to Jobs
Technology
ZE

Infrastructure Cloud Engineer (Python and PySpark, AWS Generative AI Experience)

ZenosysTrenton, NJ🇺🇸United StatesPosted 10 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Trenton, NJ, United States
Posted
20 hours ago
SQLAWSAzureCloudFormationData PipelineGenerative AIJavaPythonRedshiftTerraform

Job Description

Hello,

Zenosys is looking Infrastructure Cloud Engineer client Trenton, NJ If you are available and interested in the below opportunity, please send me updated resume. Thanks

Job Title Infrastructure Cloud Engineer

Location- Trenton, NJ Hybrid)

Duration 12+ Months Contracts Highly Chance to Extend

Must List Current City and State in Resume/Submittal. Failure to do so will result in candidates being rejected.

If you are interested, please provide the following details along with the updated resume to speed up the interview process.

Full Legal Name as mentioned in Drivers' license:

Full Malling address:

Willing to relocate to the specified work location:

Currently on a project or when was your last project Ended

Availability for interviews:

Availability to join the project:

Date of Birth (Month/Date):

Visa Status:

Since how long the candidate has been in US

Need Education details with University Name, Location & Passing year in resume.:

LinkedIn address

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. This position will be full-time and hybrid in Trenton, NJ.

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.

If interested Please send me your resume at

Thanks,
HemendraKalal,
Ph: (O)
Sr. Technical Recruiter,
Fax:
Zenosys Consulting,
Web:

Similar jobs