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Observability Engineer

75% Flex
Remote: 
Full Remote
Salary: 
96 - 115K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
Alabama (USA), Connecticut (USA)

Offer summary

Qualifications:

3-4 years Elastic Stack (ELK) experience, Experience with Datadog and ELK.

Key responsabilities:

  • Support application monitoring for various architectures in the cloud using Dynatrace
  • Monitor log analytics in Datadog and ELK
Intelliswift Software, Inc. logo
Intelliswift Software, Inc. Information Technology & Services Large https://www.intelliswift.com/
1001 - 5000 Employees
See more Intelliswift Software, Inc. offers

Job description

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Your missions

Job Title: Observability Engineer
Location: Remote – CST Timings.
Duration: 6 months
Contract type: W2 only
Pay Rate Range: $50-60/Hour
 
 
Observability Engineer: APM (Dynatrace / Datadog) and Log aggregation and alerting (with ELK).
 
Job Responsibilities:
  • Support application monitoring for .Net, Java, SaaS, AWS, and other application architectures based in the cloud (AWS, GCP, Azure) using Dynatrace
  • Understand log analytics monitoring within Datadog and ELK
  • Monitor the responsiveness and availability of critical websites and web applications from the end-user perspective
  • Monitor infrastructure component for CPU, memory, disk space, and I/O
  • Provide deep visibility into on-prem, cloud and hybrid applications performance
  • Implement application monitoring, synthetic and real user monitoring solutions following best practices across the enterprise
 
Additional requirements for the position:
  • Understanding of log ingestion and alerting concepts
  • 3-4 years Elastic Stack (ELK) experience (including configuration, query creation, alerting configuration)
  • Understanding of Filebeat and Cribl deployments and configuration
  • Develop and implement Python3 and BASH scripts to configure Elasticsearch indices, manipulate data, and perform complex search queries
  • Create advanced KQL queries for visualizations and reports
  • Design dynamic Kibana visualizations for analytics
  • Set up cross-cluster search and streaming data pipelines
  • Develop YAML configuration files for Elastic search and containerized platforms
  • Design and implement ELK stack solutions and support Big Data platforms
  • Develop rules and algorithms for data processing and correlations
  • 4 or more years of experience in Information Systems performing application and infrastructure analysis
  • Strong Experience with Datadog, ELK, and other industry standard log analytics platforms
  • Working knowledge of application monitoring best practices
  • Strong experience with multiple hardware and operating systems such as Unix, Linux, Windows, and/or VMware, EC2, ECS, Docker/Fargate Containers, and serverless functionality

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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