Dev Ops Engineer- Temporary position

Intel
Guadalajara
Workplace: OnsiteContractFunction: Product ManagementExperience: 7+ yearsEducation: bachelorsSkills: ["Quick learner","Results-oriented","Strong communication","Collaboration","Problem-solving"]

Develop and scale data infrastructure and telemetry processing for fleet-scale analytics that improve Intel server product launches and customer experience. Build distributed data pipeline components for extraction, processing, and analysis of fleet health and customer quality signals. Work with Azure cloud services, Kubernetes-based infrastructure, Jenkins CI/CD, and optimized SQL queries, partnering with architects, engineering, validation, and data science to deliver actionable insights.

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FursaFursa
Intel
Intel
4 days ago

Dev Ops Engineer- Temporary position

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Develop and scale data infrastructure and telemetry processing for fleet-scale analytics that improve Intel server product launches and customer experience. Build distributed data pipeline components for extraction, processing, and analysis of fleet health and customer quality signals. Work with Azure cloud services, Kubernetes-based infrastructure, Jenkins CI/CD, and optimized SQL queries, partnering with architects, engineering, validation, and data science to deliver actionable insights.
Location: Guadalajara
Workplace: Onsite
Employment Type: Contract · 24 months
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Develop and maintain backend components supporting software and data platform infrastructure.
  • •Build data extraction, processing, and analytics pipelines for Intel server health and customer fleet telemetry.
  • •Design, deploy, and optimize fleet-scale analytics solutions using distributed computing frameworks and cloud-hosted databases.
  • •Create and maintain complex SQL queries and data marts/analytics pipelines feeding analytics platforms.
  • •Deploy and manage Kubernetes-based services and CI/CD pipelines (Jenkins), troubleshooting issues and improving performance/scalability.

Key Requirements

  • •Bachelor’s degree in a relevant field (Computer Science/Engineering, Electrical/Electronics, Data Engineering/Science) with 7+ years of relevant experience, or a Master’s with 5+ years. Include advanced Python programming experience.
  • •Experience developing and deploying applications on Kubernetes (K8s) and building CI/CD pipelines using Jenkins.
  • •Knowledge of relational and non-relational databases, with ability to write complex, optimized SQL queries on large-scale datasets.
  • •Experience working with structured, semi-structured, and unstructured datasets, including distributed computing frameworks such as Spark or Dask; plus Git/GitHub workflows.
  • •Advanced English level and must have an unrestricted, permanent right to work in Mexico (no visa/immigration sponsorship).
Experience:7+ yearsData platformsDistributed systemsTelemetry analyticsFleet health monitoringCloud-native architecturesKubernetesData engineering
Education:Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, Electronics Engineering, Data Engineering, Data Science, or related field
Skills:Quick learnerResults-orientedStrong communicationCollaborationProblem-solving
Languages:English
Tech Stack:PythonKubernetesK8sJenkinsCI/CDSQLRelational databasesNon-relational databasesGitGitHubMicrosoft AzureSparkDaskDockerContainerized applicationsJupyter notebooksLinuxScikit-learnPandasNumPy

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Intel
Designs and manufactures semiconductor chips, processors, and related hardware for PCs, data centers, networking, and embedded applications, while providing software and services to accelerate computing across industries globally.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1968
Glassdoor
Glassdoor: 3.8
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