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Datadog Jobs in Lansing, MI (NOW HIRING)

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How much do datadog jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for datadog in Lansing, MI is $21.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $21.44 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a Datadog engineer?

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 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 job categories do people searching Datadog jobs in Lansing, MI look for?

The top searched job categories for Datadog jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Datadog jobs?

Cities near Lansing, MI with the most Datadog job openings:

Datadog jobs near you
Infographic showing various Datadog job openings in Lansing, MI as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 68% Physical, 10% Hybrid, and 22% Remote job distribution, with an average salary of $44,530 per year, or $21.4 per hour.

Senior Cloud Migration Architect (Contract)

Lansing, MI • On-site

Stafford Gray
1 - 10 employees
Learn more about Stafford Grayexternal

$82/hr

Full-time

Re-posted 13 days ago

Job description

We are looking for a Senior Cloud Migration Architect to join our development team and lead AWS platform configuration and CI/CD automation for a large-scale enterprise cloud migration.
This program spans 30+ applications using migration patterns including Elastic Beanstalk, Amazon EKS, and EC2, delivered across multiple sprints.
This is a hands-on role for someone who can build, troubleshoot, and mentor while delivering production-ready environments sprint by sprint.
Contract: State of Michigan (SOM)
Duration: 6 months with possible extension
AWS Platform Configuration
  • Configure and manage Elastic Beanstalk environments across Dev, Test, and Prod
  • Stand up and operate EKS clusters including node groups, autoscaling, ingress, and namespaces
  • Provision and harden EC2 environments including AMIs, sizing, and patching strategy
  • Partner with DBA teams on RDS (SQL Server & PostgreSQL) setup
  • Design VPCs, IAM roles, security groups, and KMS integrations using least-privilege principles
  • Build reusable Infrastructure as Code (Terraform preferred)

CI/CD & GitOps
  • Build Azure DevOps pipelines (YAML) for multiple deployment patterns:
    • Elastic Beanstalk deployments
    • EKS container workflows with ECR + ArgoCD/Flux
    • EC2 deployments (AMI or blue/green)
  • Implement GitOps workflows using ArgoCD or Flux
  • Define promotion strategies across environments with approvals and rollback paths
  • Standardize pipeline templates for team scalability
  • Integrate security scanning, SAST/DAST, and artifact validation

Observability & Reliability
  • Configure CloudWatch logs, metrics, alarms, and dashboards
  • Define SLOs, alerting, and incident response runbooks

Documentation & Collaboration
  • Produce runbooks, ADRs, and operational documentation
  • Maintain versioned IaC repositories
  • Work closely with developers, infrastructure, and DBA teams
  • Troubleshoot issues across cloud, containers, and networking

Requirements
  • 5-6+ years AWS experience (EKS, EC2, RDS, VPC, IAM, CloudWatch, etc.)
  • 3+ years Kubernetes experience (EKS preferred, Helm, ingress, scaling, troubleshooting)
  • Proven experience with ArgoCD or Flux (required)
  • Strong Azure DevOps pipelines (YAML) experience
  • Solid Docker and ECR experience
  • Experience with Terraform or CloudFormation
  • Familiarity with RDS databases and working with DBAs
  • Strong Linux and bash scripting skills
  • Experience with Git workflows and code reviews
  • Ability to write clear documentation and collaborate cross-functionally

Preferred
  • AWS certifications (Solutions Architect Pro or DevOps Pro)
  • Kubernetes certifications (CKA or CKAD)
  • Experience migrating .NET or Java apps to AWS
  • Experience with service mesh, APIs, or COTS systems
  • Familiarity with tools like Datadog, Splunk, or New Relic
  • Experience with blue/green or canary deployments

Benefits
$82/hr on 1099 basis.

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