Automation Developer

World Wide Technology is looking for Automation Developer Engineer. This job is part of WWT’s Strategic Resourcing services. The candidate will be supporting a WWT customer and will be employed by one of WWT’s preferred partners. The partner will provide full compensation and benefit information prior to employment with the partner.

Position: Automation Developer Engineer

Location: Remote - must work EST hours.

Contract: 6 months, potential for contract extension

Rate/Salary: A reasonable estimate of the current pay range for this position is $80/hr. hourly C2C. Actual pay will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs, and will be set by your employer. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in base pay.

We are seeking a highly skilled Automation Developer Engineer to design, build, and optimize automation solutions that support our observability, infrastructure, and application operations. A key responsibility of this role is to help drive the migration from Splunk to Datadog, including automating onboarding processes, telemetry pipelines, dashboards, alerting, and related workflows. The ideal candidate combines strong automation engineering skills with hands-on experience in modern observability tools.

Key Responsibilities

Automation Development & Engineering

• Design and implement automation solutions to streamline monitoring, logging, and operational workflows.
• Develop scripts, services, and tools in Python, Go, PowerShell, or similar languages to support observability and infrastructure automation.
• Build and maintain integrations between Datadog, CI/CD tooling, and cloud platforms.
• Create automated processes for agent deployment, configuration management, and ingestion pipelines.

Splunk Datadog Migration

• Support and/or lead the migration of dashboards, alerts, searches, and log pipelines from Splunk to Datadog.
• Automate the translation or recreation of Splunk searches, saved queries, and dashboards into Datadog monitors, dashboards, or notebooks.
• Build templated, reusable IaC components (Terraform, Ansible, Helm) for Datadog resources and configurations.
• Develop automation to onboard teams and services into Datadog in a standardized and scalable manner.
• Ensure proper tagging, metadata, and data processing rules during migration to maintain accuracy and cost efficiency.

Data Pipeline & Observability Engineering

• Automate log and metric ingestion pipelines, including filtering, enrichment, and routing.
• Optimize data flows to support performance, reliability, and retention strategies.
• Validate the quality of telemetry data before and after migration.
• Collaborate with SRE, DevOps, and application teams to ensure proper instrumentation and visibility.

Tooling & Infrastructure Support

• Maintain infrastructure-as-code modules for cloud, observability, and automation systems.
• Contribute to CI/CD pipeline automation and tooling improvements.
• Ensure automated workflows are secure, maintainable, and well-documented.
• Provide technical troubleshooting and production support for log pipelines and observability-related automation.

Collaboration & Documentation

• Work closely with engineering, operations, security, and platform teams to align automation with observability needs.
• Create clear documentation, runbooks, and training guides for automation processes and Datadog onboarding.
• Participate in team code reviews, architecture sessions, and technical planning.

Required Qualifications

• 3–6+ years of experience as an Automation Engineer, DevOps Engineer, SRE, or Software Engineer.
• Strong hands-on experience with Datadog (logs, metrics, dashboards, monitors, APM).
• Solid experience with Splunk (searches, dashboards, ingestion) and experience migrating from Splunk to Datadog.
• Strong scripting/programming skills with Python, Go, Bash, or PowerShell.
• Experience with infrastructure-as-code (Terraform, Ansible, CloudFormation, or similar).
• Experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, etc.).
• Good understanding of logs, metrics, traces, and telemetry data structures.
• Experience with cloud platforms such as AWS, Azure, or GCP.

Preferred Qualifications

• Experience designing automated log or metric pipelines.
• Knowledge of Kubernetes and container orchestration.
• Familiarity with APM, distributed tracing, and service-level management concepts.
• Datadog or Splunk certifications.
• Experience with event-driven automation using serverless platforms.

Soft Skills

• Strong problem-solving and analytical abilities.
• Ability to work cross-functionally and communicate complex topics clearly.
• Highly organized, detail-focused, and documentation-minded.
• Comfortable leading automation initiatives and helping teams adopt new tooling.

NOTE: If you have any questions or concerns about this posting, please email us at - srpostings@wwt.com