Observability Specialist (Datadog)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Observability Specialist (Datadog) with a contract length of "unknown" and a pay rate of "unknown." It is remote, requiring significant experience in observability, monitoring, cloud platforms, and containerization technologies. Strong analytical and communication skills are essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 28, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Anomaly Detection #Observability #AWS (Amazon Web Services) #Monitoring #Alation #Automation #Azure #Logging #Scala #ML (Machine Learning) #Datadog #Compliance #Docker #Database Performance #Cloud #Kubernetes
Role description
Role: Observability Specialist (Datadog) Location: New Jersey / Chicago, IL - Remote Job Description: Observability Specialist (Job Description) Seeking an experienced and highly skilled Observability Specialist with a strong focus on observability and monitoring. In this critical role, you will be instrumental in ensuring the reliability, performance, and efficiency of our systems through the strategic implementation and management of cutting-edge observability practices and tooling. You will leverage your deep technical expertise to provide actionable insights, proactively identify potential issues, and drive continuous improvement across our infrastructure and applications. Key role is to lead technical discussion with the customer on products like DataDog to define a roadmap suitable for the landscape and engage in new feature discussion initiated by the vendor/customer. Role Summary As an Observability Specialist, you will be a key contributor to our reliability initiatives, with a specific focus on designing, implementing, and maintaining comprehensive observability solutions. You will work closely with customer, engineering, and product teams to establish robust monitoring, alerting, and analysis capabilities. Your expertise will be crucial in enabling proactive problem detection, accelerating incident resolution, and optimizing system performance. Key Responsibilities β€’ Design and implement comprehensive framework for observability roadmap. β€’ Lead system performance benchmarking and optimization initiatives. β€’ Establish automated recovery mechanisms for common failure scenarios. β€’ Develop and enforce reliable monitoring solution. β€’ Create technical standards for resilient monitoring solution and approach. β€’ Participate in Root Cause Analysis (RCA) and postmortem processes. β€’ Develop frameworks to establish correlation in system failures. β€’ Design, implement, and manage end-to-end observability solutions encompassing metrics, logs, and traces across our infrastructure and applications. β€’ Evaluate, deploy, and maintain tools for monitoring, logging, tracing, alerting, and automation. β€’ Define intelligent alerting rules and escalation policies to ensure timely and effective incident response. Implement automated recovery mechanisms for common failure scenarios. β€’ Lead system performance benchmarking and optimization initiatives, leveraging observability data to identify bottlenecks and areas for improvement. β€’ Analyze observability data to identify trends, anomalies, and potential risks. Generate actionable insights and reports to improve system reliability and performance. Qualifications β€’ Significant experience in Observability Specialist or similar role with a strong focus on observability and monitoring. β€’ Deep understanding of observability principles and best practices (metrics, logging, tracing). β€’ Experience implementing and managing centralized logging and monitoring systems. β€’ Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes, OpenShift). β€’ Familiarity with AIOps and ML-based anomaly detection systems is a plus. β€’ Background in database performance monitoring and optimization. β€’ Knowledge of Service Level Objectives (SLOs) and KPI implementation. β€’ Experience participating in Root Cause Analysis (RCA) and postmortem processes. β€’ Understanding of compliance requirements related to monitoring and logging. β€’ Excellent problem-solving and analytical skills. β€’ Strong communication and collaboration skills.