Urgent Remote Opening for Senior Systems Engineer with Datadog - Reston VA or D.C.

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Job Overview

The Senior Systems Engineer will play a crucial role in enhancing the infrastructure and operational capabilities of our technology stack, with a primary focus on leveraging Datadog for observability within our systems. The incumbent will be responsible for designing, implementing, and managing systems that ensure high availability, performance, and scalability. This position requires strong collaboration with cross-functional teams to identify requirements, troubleshoot issues, and proactively optimize system operations while maintaining best practices in security and reliability.

Job Responsibilities

• Design and implement robust monitoring and logging solutions using Datadog.
• Develop automated systems for configuration management and deployment.
• Evaluate and optimize system performance and resource utilization.
• Collaborate with development teams to integrate Datadog capabilities into existing workflows.
• Troubleshoot and resolve complex system issues, providing root cause analysis.
• Ensure adherence to security protocols and compliance standards.
• Document processes, system configurations, and operational procedures for internal use.
• Provide mentorship and guidance to junior engineering staff.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• A minimum of 5 years of experience in systems engineering or a related discipline.
• Solid experience with Datadog and modern monitoring solutions.
• Proficiency in scripting languages such as Python, Bash, or Ruby.
• Strong understanding of cloud computing platforms, especially AWS, Azure, or Google Cloud.
• Experience with containerization technologies like Docker and orchestration platforms such as Kubernetes.
• Excellent problem-solving skills and the ability to work under pressure.
• Strong collaboration and communication abilities, both verbal and written.

Technologies & Tools

The Senior Systems Engineer will primarily work with Datadog for monitoring and observability. Additional technologies include AWS/Azure/Google Cloud for cloud infrastructures, Docker and Kubernetes for container management, various CI/CD tools for deployment automation, and scripting languages like Python and Bash for task automation. Experience with infrastructure as code tools such as Terraform or CloudFormation is highly advantageous.

Ideal Candidates

The ideal candidate will exhibit a strong blend of technical expertise and interpersonal skills. They should possess a proactive mindset with a passion for learning and implementing new technologies. A team-oriented individual who thrives in collaborative environments, demonstrating a commitment to best practices in engineering and a continuous improvement philosophy will be most successful in this role. Additionally, strong analytical thinkers with exceptional problem-solving capabilities will excel as they navigate complex system challenges.