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Datadog Jobs in Columbus, OH (NOW HIRING)

1 point system

SDET

Columbus, OH · On-site

$48.25 - $62.25/hr

Observability tools (datadog, splunk, Grafana) * Kubernetes Infrastructure SDET - Enterprise Ordering Platform Overview Client is hiring an Infrastructure SDET to support the rollout of next ...

1 point system

SDET

Columbus, OH · On-site

$50/hr

Observability tools (datadog, splunk, Grafana) * Kubernetes Infrastructure SDET - Enterprise Ordering Platform Overview Client is hiring an Infrastructure SDET to support the rollout of next ...

IT Labs

Senior DevOps Engineer

Columbus, OH · Remote

$133K - $170K/yr

Monitor systems and applications using DataDog and respond to alerts and performance issues * Manage secrets, configurations, and sensitive data using AWS Secrets Manager and Azure Key Vault

IT Labs

Lead DevOps Engineer

Columbus, OH · Remote

$54 - $74/hr

Drive adoption of observability tools like DataDog and establish logging standards * Coordinate incident response and root cause analysis for infrastructure issues * Build SLA frameworks for critical ...

Huntington

Site Reliability Engineer (SRE) - II

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Optimize existing monitoring tools (e.g., Prometheus, Grafana, Datadog, Dynatrace) and build custom dashboards for better visibility into system health. Security & Compliance: Ensure systems and ...

Huntington

Site Reliability Engineer (SRE) - II

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Optimize existing monitoring tools (e.g., Prometheus, Grafana, Datadog, Dynatrace) and build custom dashboards for better visibility into system health. * Security & Compliance: * Ensure systems and ...

McKesson Corporation

Sr. Database Administrator

Columbus, OH · On-site +1

$115K - $192K/yr

Monitor and troubleshoot database performance and reliability issues using native tools and Datadog . * Implement and maintain backup, recovery, and high availability solutions. * Use and help extend ...

TriOptus LLC

SDET 2

Columbus, OH · On-site

$38.75 - $52.75/hr

Debugging using Splunk and Datadog ? Selenium, Playwright, or other equivalent test automation tools Reports To: Sr Quality Engineering Manager/Director of Quality Engineering Minimum Qualifications:

SVATS

CRIBL Engineer - C2C/ W2 Role

Columbus, OH

Experience integrating common observability sources and destinations such as syslog, Windows Event Forwarding, Fluent Bit, Kafka, Amazon S3, Splunk HTTP Event Collector, Elastic, or Datadog

ODW Logistics

Software Engineer II

Columbus, OH · On-site

... Datadog, Prometheus, Grafana). • Experience with CI/CD pipelines (e.g., GitHub Actions) or OpenAPI/Swagger code generation. • Transportation, logistics, or supply chain industry experience ...

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Datadog information

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How much do datadog jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for datadog in Columbus, OH is $20.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $20.43 per hour, depending on experience, location, and employer.

What is the difference between Datadog vs Cloud Monitoring Engineer?

AspectDatadogCloud Monitoring Engineer
Primary RoleMonitoring and analytics platform for IT infrastructure and applicationsDesigning, implementing, and managing cloud monitoring solutions
Required SkillsCloud platforms, monitoring tools, scripting, API integrationCloud services, monitoring tools, scripting, troubleshooting
CertificationsCloud certifications (AWS, Azure), monitoring tools certificationsCloud certifications (AWS, Azure), monitoring certifications
Work EnvironmentUsing SaaS platform, integrating with various cloud and on-premise systemsManaging cloud infrastructure, configuring monitoring tools, troubleshooting

While both roles involve cloud monitoring, Datadog focuses on utilizing a specific SaaS platform for analytics and monitoring, whereas a Cloud Monitoring Engineer designs and manages monitoring solutions across cloud environments. The roles often overlap in skills and certifications, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Datadog Engineer, and why are they important?

To thrive as a Datadog Engineer, you need a solid understanding of cloud infrastructure, monitoring and observability principles, and experience with scripting or programming languages. Familiarity with Datadog’s platform, API integrations, and certifications such as Datadog Certified Technical Specialist are highly valuable. Strong problem-solving skills, attention to detail, and effective communication help you proactively address system issues and collaborate with cross-functional teams. These skills ensure efficient system monitoring, rapid incident response, and reliable service performance in dynamic technology environments.

What are some common challenges faced by Datadog engineers when implementing monitoring solutions for large-scale systems?

Datadog engineers often encounter challenges such as integrating diverse technology stacks, ensuring minimal performance impact, and maintaining data accuracy across high-traffic environments. Large-scale systems can generate vast amounts of telemetry data, so configuring efficient dashboards and alerting without causing alert fatigue is vital. Collaborating closely with development, operations, and security teams is essential to tailor monitoring solutions that provide actionable insights while staying adaptable to evolving system architectures.

What is a Datadog engineer?

A Datadog engineer is a professional who specializes in implementing, configuring, and managing Datadog, a cloud-based monitoring and analytics platform. They are responsible for integrating Datadog with various systems, setting up dashboards, alerts, and metrics to monitor application performance and infrastructure health. Their work helps organizations identify issues, optimize performance, and ensure system reliability. Datadog engineers often collaborate with DevOps, IT, and development teams to provide insights and improve observability across environments.
What are popular job titles related to Datadog jobs in Columbus, OH? For Datadog jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Datadog jobs in Columbus, OH look for? The top searched job categories for Datadog jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Datadog jobs? Cities near Columbus, OH with the most Datadog job openings:
Datadog jobs near you
Infographic showing various Datadog job openings in Columbus, OH as of June 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $42,407 per year, or $20.4 per hour.
Azure DevOps Engineer - Onsite in Columbus, Ohio | **W2 Position**

Azure DevOps Engineer - Onsite in Columbus, Ohio | **W2 Position**

Siri Infosolutions Inc

Columbus, OH

$49.25 - $67.50/hr

Other

Posted 13 days ago

Job description

Role: DevOps Engineer

Location: 4 Days onsite Columbus, Ohio

Job Description

Overview

We are seeking a DevOps Engineer to design, automate, and optimize our cloud infrastructure, CI/CD pipelines, and observability ecosystem. This role focuses on Azure DevOps, Terraform‑based infrastructure, containerization, and Kubernetes, with strong emphasis on monitoring, logging, and system reliability.

Key Responsibilities

  • Azure DevOps Pipelines — Build, maintain, and optimize CI/CD pipelines supporting application deployments and infrastructure automation.
  • Infrastructure as Code — Use Terraform to provision, manage, and scale cloud resources, including containerized workloads and Kubernetes clusters.
  • Containerization & Kubernetes — Implement and support container orchestration, ensuring seamless integration between software and underlying hardware.
  • Observability & Monitoring — Manage and enhance the observability stack using tools such as Splunk, Datadog, Prometheus, ELK, and Grafana.
  • Logging & Alerting — Configure log pipelines, dashboards, and alerting rules to ensure system reliability and rapid incident response.
  • Automation — Automate repetitive tasks, environment provisioning, and deployment workflows to improve engineering velocity.
  • Cross‑Functional Collaboration — Partner with development, QA, and platform teams to ensure smooth delivery and operational excellence.

Required Skills & Experience

  • Azure Cloud — Hands‑on experience with Azure DevOps, Azure services, and cloud‑native architectures.
  • Terraform Expertise — Strong proficiency in Terraform for IaC and environment provisioning.
  • Kubernetes — Experience deploying, scaling, and managing workloads in Kubernetes clusters.
  • CI/CD — Proven experience building and maintaining CI/CD pipelines.
  • Observability Tools — Experience with Splunk (primary), plus familiarity with Datadog, Prometheus, ELK, or Grafana.
  • Scripting — Proficiency in scripting languages (e.g., Bash, PowerShell, Python) for automation and tooling.
  • Systems Integration — Ability to integrate software systems with underlying hardware and infrastructure components.

Preferred Qualifications

  • Container Security — Knowledge of container security best practices and vulnerability scanning.
  • Monitoring Architecture — Experience designing dashboards, SLIs/SLOs, and alerting strategies.
  • Performance Optimization — Ability to analyze system performance and optimize resource usage.
Siri Infosolutions logo

About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005

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