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Infra Dev Specialist

00068803961



Job Summary

Infra Dev Specialist responsible for designing automating and optimizing large scale monitoring and observability for enterprise infrastructure using AWS CloudWatch LogicMonitor and Splunk in a hybrid work model enabling reliable systems actionable insights and rapid incident detection for business critical services while collaborating closely with cross functional technology teams.


Responsibilities

  • Design and implement robust infrastructure monitoring solutions using AWS CloudWatch LogicMonitor and Splunk to provide deep visibility into application and platform health for business critical environments.
  • Develop reusable monitoring templates dashboards and alerting policies that standardize observability across cloud and on premises systems while reducing manual configuration effort.
  • Build and maintain automated ingestion pipelines that collect normalize and route logs metrics and events into Splunk and related observability tools to support rapid troubleshooting.
  • Configure intelligent alert thresholds and noise reduction strategies in AWS CloudWatch and LogicMonitor to minimize false positives while ensuring timely notification of genuine service degradation.
  • Collaborate closely with application infrastructure and security teams to translate functional and nonfunctional requirements into monitoring specifications that align with enterprise standards.
  • Conduct detailed root cause analysis using Splunk searches correlation rules and visualizations to identify performance bottlenecks and recurring incidents that impact user experience.
  • Optimize cost and performance of monitoring implementations by refining data retention sampling strategies and metric collection policies for various environments.
  • Create and maintain clear operational runbooks that describe alert meaning diagnostic steps and remediation guidelines so support teams can respond consistently and efficiently.
  • Implement infrastructure as code approaches for monitoring configurations using automation tools to enable repeatable deployments version control and environment consistency.
  • Perform capacity and trend analysis using historical metrics and log data to forecast resource needs prevent outages and support data driven infrastructure planning.
  • Partner with reliability and operations teams to define service level indicators and service level objectives and to align monitoring coverage with agreed reliability targets.
  • Drive continuous improvement of monitoring quality by reviewing incident reports identifying visibility gaps and implementing targeted enhancements that reduce mean time to detect and mean time to resolve.
  • Document monitoring architectures data flows and configuration standards in a concise and accessible manner to support knowledge sharing across global teams.

  • Qualifications

  • Apply a strong background in AWS services with hands on expertise in AWS CloudWatch features including custom metrics logs and alarms to design effective monitoring solutions.
  • Leverage deep practical experience with Splunk including data onboarding index design search optimization and dashboard creation to deliver actionable operational insights.
  • Use proven skills with LogicMonitor or similar platforms to configure device discovery metric collection and alert routing for diverse infrastructure components.
  • Bring seven to eight years of overall infrastructure or operations experience with significant focus on observability monitoring engineering and incident management in enterprise settings.
  • Demonstrate proficiency in at least one scripting language such as Python or PowerShell to automate monitoring deployment data transformations and routine maintenance tasks.
  • Apply knowledge of networking operating systems and common enterprise platforms so that monitoring strategies accurately reflect dependencies and failure modes.
  • Exhibit strong analytical and problem solving abilities with a track record of reducing incident frequency and improving system stability through data driven decisions.
  • Communicate clearly with both technical and nontechnical stakeholders explaining monitoring metrics dashboards and alerts in understandable terms that support sound decisions.
  • Adapt effectively to a hybrid work model by collaborating through digital channels documenting work thoroughly and maintaining high coordination with distributed teams.
  • Maintain familiarity with security and compliance considerations related to log and metric data handling to ensure observability solutions meet organizational governance needs.

  • Certifications Required

    AWS Certified SysOps Administrator or AWS Certified DevOps Engineer and Splunk Core Certified Power User or equivalent observability certification.


    关于高知特 (Cognizant)
    高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。

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