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Utilizing in-depth knowledge of AWS, Azure, and Alibaba Cloud technologies to architect and manage logging and monitoring tool deployments. This pivotal role involves defining and implementing logging, governance, optimization, monitoring, and control strategies, including the development of forecasting and chargeback models for the observability platform.
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2-4yrs of experience using enterprise logging solutions ( Splunk, Scalyr, Loggly, Elasticsearch, etc. Our client is the retail energy industry’s leading provider of transaction management (EDI), billing and CIS, pricing, demand scheduling, and wholesale energy software services.
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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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Minimum 5 years of experience with Container production (Kubernetes/RedHat OpenShift) environments using PaaS logging, monitoring, and observability tools such as ELK, FluentD, Prometheus, Splunk, Nagios, Datadog, Dynatrace, AppDynamics, etc.
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Develop Splunk Content for Cloud / API Security threat use cases (cloud, container, or orchestration misconfiguration, OWASP vulnerabilities, Injection Flaws, insecure network policies, logging & monitoring / runtime threats, CI/CD pipeline & supply chain flaws, cloud IAM roles, Account hijacking, Data exfiltration.
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Knowledge of monitoring and logging tools like Datadog, New Relic, Splunk, Prometheus, ELK Stack, or Grafana. Develop and maintain monitoring, alerting, and logging systems to ensure timely detection and response to anomalies.
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Onboarding data sources from various IT infrastructure and application components into observability tools such as Dynatrace, Grail, Splunk, SignalFx, and Cribl. 5+ years of experience with managing observability solutions using tools like Dynatrace, Grail, Splunk Cloud, Cribl, etc.
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8+ years of experience in information technology with hands-on technical/engineering roles, including: 5+ years of experience with managing observability solutions using tools like Dynatrace, Grail, Splunk Cloud, Cribl, etc.
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Logging from dataPower to splunk. Logging from dataPower to splunk. SME of datapower; with having multiple project experience with different implementation of DataPower in different situation.
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The ideal candidate will have a deep understanding of observability principles, be highly skilled in Dynatrace, Splunk, and other observability tools, and have a proven track record of driving successful observability projects in complex environments.
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Knowledge of CICD with Jenkins, Docker, Kubernetes, Logging frameworks: Splunk, Prometheus etc. 8+ years of strong development experiences in Java, Spring boot Microservices, Spring batch.
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Collaborating with cross-functional teams to gather requirements, architect solutions, and deploy logging and monitoring environments that align with business needs. 3+ years of experience in AWS, Azure, and Alibaba Cloud platforms' log ingestion solutions.
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Experience in integrating observability tools with other IT Operations solutions such as Harness, ReadyAPI, ServiceNow, and BigPanda. Creating chargeback model for Observability platform and other solutions.
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Headquarters-based positions are considered hybrid, for candidates within a commuting distance to Bethesda, MD; candidates outside of commuting distance to Bethesda, MD will be considered for Remote positions.
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Ability to create constructive relationships, influence, and communicate (to product team, engineering management, and non-technical staff) We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture.
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