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Temp Bash Shell Scripting Jobs in Queens, NY (NOW HIRING)

Cloud Platform Engineer

New York, NY · On-site

$61 - $81.50/hr

Minimum 7 years of experience in Linux/Unix administration and automation scripting (Bash, Shell, Python). * Minimum 7 years of experience with Infrastructure as Code (IaC) and automation tools ...

Automation/ DevOps Engineer

New York, NY

$57.75 - $79/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Perl, bash, sh, etc.) Great understanding of managed service provider operations and systems administration Linux or Solaris, TCP/IP, DNS, Apache, basic network troubleshooting, shell scripting ...

Full Stack Java Developer

Iselin, NJ · On-site

$53.25 - $68.75/hr

... scripting languages such as Python, Bash, Shell * 5+ Years of experience with API integration using Apigee, Rest API, Kafka * 3+ years of experience with tests frameworks using Jasmine, Karma ...

Cloud Platform Engineer (ONLY W2)

Brooklyn, NY · On-site

$60.50 - $81/hr

EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, Lambda. • 7+ years Linux/Unix administration and scripting (Bash, Shell, Python). • 7+ years IaC/automation: CloudFormation, Terraform ...

Data Architect

Woodbridge, NJ · On-site

$64.25 - $82.75/hr

... scripting languages such as Python, Bash, Shell * 3+ years of experience with tests frameworks using Jasmine, Karma, Selenium, Junit, Jmeter, RestAssured, Postman * 3+ years of experience working in ...

Linux scripting (K shell, Bash shell) Knowledge/Experience: * 10+ years of business experience with deep understanding of Finance processes and systems * Demonstrate understanding of how finance ...

Showing results 41-60

Temp Bash Shell Scripting information

See Queens, NY salary details

$36.5K

$88.7K

$139.3K

How much do temp bash shell scripting jobs pay per year?

As of Aug 20, 2026, the average yearly pay for temp bash shell scripting in Queens, NY is $88,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $104,300.00 per year, depending on experience, location, and employer.

What is the difference between Temp Bash Shell Scripting vs Temp Linux System Administrator?

AspectTemp Bash Shell ScriptingTemp Linux System Administrator
CredentialsBasic scripting knowledge, possibly certifications like Linux EssentialsLinux certifications (e.g., LPIC, RHCSA), experience in system management
Work EnvironmentPrimarily scripting in Unix/Linux environments, task automationManaging entire Linux systems, troubleshooting, security, and network configuration
Industry UsageIT, DevOps, automation projectsIT, data centers, enterprise infrastructure
Search & Comparison IntentFocus on scripting skills and automation tasksFocus on system administration and infrastructure management

While Temp Bash Shell Scripting involves writing scripts to automate tasks within Linux/Unix environments, Temp Linux System Administrator manages entire Linux systems, including installation, configuration, and troubleshooting. Both roles require Linux knowledge, but scripting is more specialized, whereas system administration covers broader responsibilities.

What job categories do people searching Temp Bash Shell Scripting jobs in Queens, NY look for?

The top searched job categories for Temp Bash Shell Scripting jobs in Queens, NY are:

What cities near Queens, NY are hiring for Temp Bash Shell Scripting jobs?

Cities near Queens, NY with the most Temp Bash Shell Scripting job openings:

Infographic showing various Temp Bash Shell Scripting job openings in Queens, NY as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 2% Part Time, and 12% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $88,745 per year, or $42.7 per hour.

Cloud Platform Engineer

search-tactics

New York, NY • On-site

$61 - $81.50/hr

Contractor

Re-posted 11 days ago


Job description

  • Monitor database and system performance using CloudWatch metrics, alarms, and logs; troubleshoot proactively. 

  • Develop, deploy, and optimize AI/ML solutions using AWS AI services including SageMaker and Bedrock, supporting model training, inference, and integration into production systems. 

  • Automate operational tasks using AWS Lambda, Systems Manager (SSM), and Infrastructure-as-Code tools such as CloudFormation or Terraform. 

  • Design, build, and maintain scalable, fault-tolerant data processing and analytics workflows on AWS using services such as API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, DataSync. 

  • Design and integrate agentic AI systems, including LLM-based agents, multi-agent workflows, and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph. 

  • Implement ETL/ELT pipelines and data architectures that support machine learning, analytics, and intelligent agent-based applications. 

  • Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS, EKS, or Kubernetes. 

  • Apply security best practices across AI and data platforms, including IAM least-privilege access, encryption, audit logging, and compliance controls. 

  • Maintain technical documentation for AI architectures, data pipelines, infrastructure configurations, and operational runbooks. 

Required Skills 

  • Minimum 7 years of hands-on AWS experience: EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, and Lambda. 

  • Minimum 7 years of experience in Linux/Unix administration and automation scripting (Bash, Shell, Python). 

  • Minimum 7 years of experience with Infrastructure as Code (IaC) and automation tools, including CloudFormation, Terraform, and Ansible, for provisioning and maintaining. 

  • Minimum 7 years of knowledge in AWS networking: VPC, subnets, NACLs, security groups, Route 53, and multi-AZ architectures. 

  • Minimum 5 years of experience CI/CD pipelines, Jenkins, and IaC for deploying AI agents and ML models into production, monitoring autonomous workflows, and supporting MLOps using Kubernetes, ECS, or EKS. 

  • Minimum 4 years of experience architecting, building, and maintaining scalable data processing workflows using AWS managed services and Python (including PySpark); strong understanding of data architecture and ETL/ELT patterns. 

  • Minimum 4 years of experience working with AWS AI/ML services such as SageMaker, Bedrock, and vector databases (OpenSearch). 

  • Strong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face.