Sr. Datadog Developer
Job Summary
Job Description
As a Sr. Datadog Developer at Rackspace Technology, you'll be a key member of the Managed Public Cloud software development team, collaborating globally on various projects including cloud integrated services, customer interaction platforms, and backend business systems. You'll collaborate with product teams, architect production-ready software, and champion observability. Agile development, TDD, code reviews, and DevOps practices are essential. You will lead research, design, and implement monitoring strategies using Datadog, troubleshoot complex issues, and communicate insights to stakeholders. Experience with Datadog features (dashboards, monitors, logs, alerting), IaC tools (Terraform/CloudFormation), and scripting languages (Python, Bash, PowerShell) is required.
Must have:
- In-depth Datadog knowledge
- Datadog agent configuration
- Custom metrics, traces, logs
- IaC experience (Terraform/CloudFormation)
- Scripting (Python, Bash, PowerShell)
- Observability principles
- Agile development & DevOps
- Excellent communication skills
Good to have:
- Custom Datadog integrations
- Experience with AWS CloudWatch, Kubernetes, Azure Monitor
- Security best practices in monitoring
11 skills required
Job Details
At Rackspace Technology, we are experts in multi-cloud solutions. Our deep technical expertise with leading technologies and multi-cloud environments—spanning applications, data, and security—enables businesses to grow, increase efficiency, and drive innovation. We don’t just solve workload problems; we create competitive advantages by empowering you to work faster, smarter, and stay ahead of the curve.
Key Responsibilities
- Be a key member of the Managed Public Cloud software development team, collaborating globally.
- Work on a variety of projects including cloud integrated services, customer interaction platforms, and backend business systems.
- Collaborate with Product teams to assess functional requirements for new offerings, analyze technical feasibility, and coordinate task assignments with agility to deliver innovative software.
- Proven ability to architect production ready software with minimal direction, prioritizing system observability.
- Strong background in agile development and project planning, including TDD and code reviews.
- Establish and adhere to coding and process best practices, including conducting code reviews.
- Regularly contribute to engineering standards and best practices, motivating the team to deliver their best work.
- Lead research, proof of concept, and prototype efforts within the project team.
- Gain support for complex architectures and negotiate solution/architectural tradeoffs.
- Write and review design documents and actively participate in project discussions.
- Work within a DevOps culture, including participating in on call rotations and maintenance schedules.
Skills
- In depth knowledge of Datadog features such as dashboards, monitors, log management, and alerting.
- Expertise in setting up and configuring Datadog agents across various environments (e.g., AWS, Azure, GCP, on-premise).
- Experience with creating and managing custom metrics, traces, and logs.
- Ability to integrate Datadog with various services and tools (e.g., AWS CloudWatch, Kubernetes, Azure Monitor, etc).
- Experience in automating monitoring and alerting setups using Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
- Proficiency in scripting languages such as Python, Bash, or PowerShell to create custom checks, scripts, and automation tools.
- Experience with developing custom Datadog integrations and plugins.
- Strong understanding of observability principles, including metrics, logging, and tracing.
- Ability to design and implement monitoring strategies that provide deep visibility into system performance and application health.
- Experience with monitoring application and infrastructure performance using Datadog.
- Skills in identifying performance bottlenecks and optimizing system performance based on Datadog insights.
- Experience in setting up and managing alerts, anomaly detection, and incident response workflows in Datadog.
- Ability to troubleshoot complex issues by analyzing metrics, logs, and traces in Datadog.
- Ability to work with cross functional teams to define monitoring requirements and implement Datadog solutions.
- Strong communication skills to convey insights and recommendations to both technical and nontechnical stakeholders.
- Knowledge of security best practices related to monitoring, such as ensuring data privacy and compliance with regulatory requirements.
- Experience with integrating Datadog into security operations, including monitoring for security threats and vulnerabilities.
- Commitment to continuously improving monitoring setups, staying updated with Datadog’s latest features and best practices.
- Ability to lead or contribute to efforts to enhance observability across the organization.
- Excellent oral and written English communication skills.
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