ZipRecruiter

Log In

1

Junior Developer Operations Engineer Jobs in Coats, NC

econstruct

Junior Structural Engineer

Raleigh, NC

As a junior structural engineer, you will be working on specific engineering design and analysis tasks under the supervision of a structural engineer. The nature and progression of the assignments ...

econstruct

Junior Structural Engineer

Raleigh, NC · On-site

As a junior structural engineer, you will be working on specific engineering design and analysis tasks under the supervision of a structural engineer. The nature and progression of the assignments ...

econstruct

Junior Structural Engineer

Raleigh, NC · On-site

As a junior structural engineer, you will be working on specific engineering design and analysis tasks under the supervision of a structural engineer. The nature and progression of the assignments ...

ERG

Junior Engineers/Scientists/Technicians

Raleigh, NC · On-site

$60K - $75K/yr

ERG is hiring enthusiastic and highly motivated Junior Engineers, Scientists, and Technicians to provide technical support in the development, design, and execution of research projects for the U.S.

ERG

Junior Engineers/Scientists/Technicians

Raleigh, NC

$60K - $75K/yr

ERG is hiring enthusiastic and highly motivated Junior Engineers, Scientists, and Technicians to provide technical support in the development, design, and execution of research projects for the U.S.

previous page

Showing results 41-60

All JobsDeveloper Operations Engineer JobsJunior Developer Operations Engineer JobsJunior Developer Operations Engineer Jobs in Coats, NC

Junior Developer Operations Engineer information

See Coats, NC salary details

$15.5K

$57.4K

$88.7K

How much do junior developer operations engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for junior developer operations engineer in Coats, NC is $57,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,200.00 and $56,100.00 per year, depending on experience, location, and employer.

What is a junior developer operations engineer?

Junior Developer Operations Engineers, often called Junior DevOps Engineers, are entry-level professionals who assist in bridging the gap between software development and IT operations. They help automate processes, manage deployment pipelines, and monitor systems to ensure reliability and efficiency. Their responsibilities typically include writing scripts, managing cloud infrastructure, troubleshooting issues, and collaborating with development and operations teams to improve workflows. As juniors, they work under the guidance of senior DevOps engineers and are often learning new tools and practices on the job.

What are the key skills and qualifications needed to thrive as a junior developer operations engineer?

To thrive as a Junior Developer Operations Engineer, you need a foundational understanding of software development, system administration, and networking, often supported by a degree in computer science or related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure, as well as basic scripting knowledge, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with software and IT teams. These skills are crucial for ensuring seamless software deployment, system reliability, and efficient team workflows.

What are some common challenges faced by junior developer operations engineers when transitioning from development or IT roles?

Junior DevOps Engineers often encounter challenges such as mastering automation tools (like Jenkins, Docker, or Ansible), adapting to rapid deployment cycles, and learning to troubleshoot complex system integrations. Additionally, the shift to a collaborative workflow—working closely with both developers and IT operations—can require developing strong communication skills and a proactive approach to problem-solving. However, these challenges provide valuable learning experiences and opportunities for growth within dynamic, cross-functional teams.

What is the difference between Junior Developer Operations Engineer vs Junior Developer DevOps Engineer?

AspectJunior Developer Operations EngineerJunior Developer DevOps Engineer
CredentialsTypically requires a degree in computer science or related field; certifications like AWS, Azure, or Linux are commonSimilar credentials; often holds certifications in cloud platforms, scripting, or automation tools
Work EnvironmentWorks in IT operations, focusing on deployment, monitoring, and infrastructure managementWorks in development and operations, emphasizing automation, CI/CD pipelines, and system integration
Employer & Industry UsageUsed in organizations with a focus on infrastructure and system stabilityCommon in tech companies emphasizing continuous integration and delivery

Both roles involve technical skills and cloud knowledge, but the Junior Developer Operations Engineer leans more towards infrastructure and system stability, while the Junior Developer DevOps Engineer emphasizes automation and integration within development pipelines.

What cities near Coats, NC are hiring for Junior Developer Operations Engineer jobs?

Cities near Coats, NC with the most Junior Developer Operations Engineer job openings:

Junior Developer Operations Engineer jobs near you

Urgent Needed - GenAI Engineer - Dallas, TX and Raleigh, NC

SATCON Inc

Raleigh, NC • On-site

$54.25 - $72.50/hr

Other

Posted 3 days ago

New

Job description

Hi,
 
Our client is looking for GenAI Engineer for Charlotte, NC and Dallas, TX. If you are looking for a job change, please let me know.
 
GenAI Engineer
Charlotte, NC and Dallas, TX
12+ Months of Contract Role
 
Job Description:
 
Key Responsibilities
•  Design, implement, and maintain Infrastructure as Code (IaC) solutions using Terraform to provision and manage Azure resources, including Azure Machine Learning (Azure ML), Azure AI Studio, Azure Kubernetes Service (AKS), Azure Databricks, and related services for ML/GenAI model deployment. [14]
•  Deploy and orchestrate ML and GenAI models in enterprise ML platforms, ensuring end-to-end automation from model training to inference, including integration with CI/CD pipelines (e.g., Azure DevOps or GitHub Actions).
•  Collaborate with data scientists, ML engineers, and cross-functional teams to architect multi-cloud environments (Azure primary, with AWS/Google Cloud Platform integrations), focusing on hybrid deployments, data sovereignty, and disaster recovery. [12]
•  Optimize cloud infrastructure for AI/ML workloads, including compute clusters, storage (e.g., Azure Blob Storage, ADLS), networking (e.g., Virtual Networks, Private Endpoints), and security (e.g., Azure RBAC, Key Vault, Sentinel).
•  Implement MLOps practices, such as model versioning, monitoring, logging, and alerting using tools like Azure Monitor, Prometheus, or MLflow to ensure reliable production deployments. [17]
•  Develop and enforce IaC best practices, including modular Terraform code, state management (e.g., Azure Storage for remote state), drift detection, and automated testing with tools like Terragrunt or Checkov.
•  Troubleshoot and resolve infrastructure issues in production AI environments, ensuring high availability, scalability, and compliance with enterprise standards (e.g., GDPR, SOC 2).
•  Conduct code reviews, mentor junior engineers, and contribute to documentation for IaC patterns specific to ML/GenAI use cases.
•  Stay updated on emerging Azure ML services (e.g., Azure OpenAI Service, Prompt Flow) and integrate them into multi-cloud IaC frameworks. [11]
•  Participate in on-call rotations and incident response for critical AI infrastructure.
Required Qualifications
•  Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
•  5+ years of experience as a Cloud Engineer, DevOps Engineer, or similar role, with at least 3 years focused on Terraform for IaC in Azure environments. [0]
•  Proven expertise in deploying ML/GenAI models using Azure ML services, including model training, registration, endpoints, and inference pipelines.
•  Strong hands-on experience with multi-cloud architectures (Azure required; AWS/Google Cloud Platform preferred), including cross-cloud networking, identity federation, and resource orchestration.
•  In-depth knowledge of IaC concepts, including Terraform modules, providers (e.g., AzureRM), variables, outputs, and advanced features like workspaces and backends.
•  Solid understanding of Machine Learning lifecycle, including data ingestion, feature engineering, model serving, and scaling in enterprise AI platforms (e.g., Azure ML, SageMaker, Vertex AI).
•  Experience with containerization and orchestration tools like Docker, Kubernetes (AKS), and Helm for AI workloads.
•  Proficiency in scripting languages such as Python, PowerShell, or Bash for automation.
•  Familiarity with security best practices in cloud ML environments, including encryption, access controls, and vulnerability scanning.
•  Excellent problem-solving skills and ability to work in agile teams.
Preferred Qualifications
•  Certifications such as Microsoft Certified: Azure DevOps Engineer Expert, Azure AI Engineer Associate, or HashiCorp Certified: Terraform Associate.
•  Experience with additional IaC tools like ARM Templates, Bicep, or Pulumi for hybrid Azure setups.
•  Background in MLOps tools like Kubeflow, MLflow, or Azure ML Pipelines for enterprise-scale deployments.
•  Knowledge of cost optimization in cloud AI environments using tools like Azure Cost Management.
•  Prior experience in regulated industries (e.g., finance, healthcare) with compliance-focused IaC.
 
 
 
Sr IT Recruiter

Apply