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Hourly Developer Operations Jobs in Ohio (NOW HIRING)

Columbus, OH Salary: $65.00 USD Hourly - $70.00 USD Hourly Description: DevOps Engineer (GitOps / Kubernetes / AWS) Location: Columbus, OH (Onsite) Job Type: Contract-to-Hire About the Role Our ...

New

fullstack java developer

Columbus, OH · Remote

$55 - $60/hr

Columbus, OH Salary: $55.00 USD Hourly - $60.00 USD Hourly Description: Job Title: Mid-Level Java ... Participate in code reviews, testing, release activities, and DevOps practices to ensure high ...

Software Engineer

Columbus, OH · Hybrid

$69 - $74/hr

Columbus, OH Salary: $69.00 USD Hourly - $74.00 USD Hourly Description: Software Engineer, DevOps / Platform Engineering Locations: Columbus, OH; Charlotte, NC Work Model: Hybrid - 3 days/week onsite ...

Software Engineer

Columbus, OH · Hybrid

$69 - $74/hr

Columbus, OH Salary: $69.00 USD Hourly - $74.00 USD Hourly Description: Job Title Software Engineer - DevOps / Platform Engineering Location * Columbus, OH (3075 Loyalty Cir) * Charlotte, NC (CIC)

$80K - $100K/yr

Data cleaning & transformation Cloud & DevOps * AWS (EC2, S3, Lambda) * Microsoft Azure * Google ... Competitive hourly compensation ($80,000 - $100K/Annual) * Hands-on real-world development ...

$25 - $42/hr

Data cleaning & transformation Cloud & DevOps * AWS (EC2, S3, Lambda) * Microsoft Azure * Google ... Competitive hourly compensation ($25 - $42/hr) * Hands-on real-world development experience

$25 - $42/hr

Data cleaning & transformation Cloud & DevOps * AWS (EC2, S3, Lambda) * Microsoft Azure * Google ... Competitive hourly compensation ($25 - $42/hr) * Hands-on real-world development experience

$25 - $40/hr

Familiarity with containerization and DevOps practices * Strong problem-solving and analytical skills What We Offer * Competitive hourly compensation ($25-$40/hr) * Hands-on real-world project ...

The Operations Technology Engineer partners closely with operations, maintenance, and leadership to ... Train and provide technical guidance to hourly and salaried employees * Evaluate operator and ...

The Operations Technology Engineer partners closely with operations, maintenance, and leadership to ... Train and provide technical guidance to hourly and salaried employees * Evaluate operator and ...

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Hourly Developer Operations information

What is the difference between Hourly Developer Operations vs Hourly Software Developer?

AspectHourly Developer OperationsHourly Software Developer
Primary FocusManaging deployment, infrastructure, and system reliabilityWriting, testing, and maintaining software applications
Skills & CertificationsDevOps tools, scripting, cloud platformsProgramming languages, software development frameworks
Work EnvironmentOperations teams, cloud environments, continuous integration systemsDevelopment teams, coding environments, project-based
Common UsageEnsuring system uptime, automation, deploymentBuilding new features, bug fixes, software design

Hourly Developer Operations professionals focus on system deployment, automation, and infrastructure management, while Hourly Software Developers concentrate on creating and maintaining software applications. Both roles require technical skills but serve different aspects of the software lifecycle.

What are the most commonly searched types of Developer Operations jobs in Ohio? The most popular types of Developer Operations jobs in Ohio are:
What job categories do people searching Hourly Developer Operations jobs in Ohio look for? The top searched job categories for Hourly Developer Operations jobs in Ohio are:
What cities in Ohio are hiring for Hourly Developer Operations jobs? Cities in Ohio with the most Hourly Developer Operations job openings:
DevOps Engineer

$65 - $70/hr

Other

Posted yesterday


Job description

Location: Columbus, OH Salary: $65.00 USD Hourly - $70.00 USD Hourly Description:
DevOps Engineer (GitOps / Kubernetes / AWS)
Location: Columbus, OH (Onsite)
Job Type: Contract-to-Hire
About the Role
Our client is seeking a highly skilled DevOps Engineer to design, build, and maintain cloud-native infrastructure and automation solutions. This role requires strong expertise in Kubernetes, GitOps, Terraform, and AWS, along with experience developing automation tools using Python.
You will play a critical role in enabling scalable, reliable, and secure systems, including support for modern ML platforms and pipelines.
Key Responsibilities
  • Design, develop, and maintain cloud-native infrastructure using Kubernetes, Docker, and AWS services (EKS, ECS, ECR)
  • Implement and manage GitOps workflows for continuous deployment and environment consistency
  • Build and maintain Infrastructure as Code (IaC) using Terraform
  • Develop Python-based automation tools to improve operational efficiency and system reliability
  • Design and support CI/CD pipelines using tools such as Jenkins and GitLab CI
  • Deploy and manage applications in Kubernetes environments using Helm
  • Implement monitoring and observability using Prometheus and Grafana
  • Identify and automate remediation of recurring operational issues
  • Collaborate with cross-functional teams to review architecture, evaluate tools, and drive technical decisions
  • Contribute to the design and development of scalable ML platforms, including training, deployment, and monitoring pipelines

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field (required)
  • Hands-on experience with Kubernetes and Docker in production environments
  • Strong knowledge of GitOps practices (e.g., ArgoCD, Flux)
  • Expertise in Terraform (Infrastructure as Code)
  • Experience with AWS services, especially EKS, ECS, and ECR
  • Proficiency in Python for automation and tooling
  • Experience building and managing CI/CD pipelines
  • Strong understanding of cloud-native architecture and deployment strategies
  • Solid debugging, troubleshooting, and system design skills

Preferred Qualifications (Nice to Have)
  • Experience with MLOps or AI/ML platforms (Kubeflow, model pipelines)
  • Knowledge of deployment strategies (Blue/Green, Canary, Rolling)
  • Familiarity with multi-cloud environments (AWS, Azure, Google Cloud Platform)
  • Experience with advanced monitoring and observability practices
  • Exposure to agentic/AI-driven automation systems

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