{"id":46932,"url":"https://alion.io/job/intel-corporation-dev-ops-engineer-temporary-position","title":"Dev Ops Engineer- Temporary position","company":{"id":35,"name":"Intel","domain":"intel.com","url":"https://alion.io/company/intel","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":100,"ghost_share":0.02,"stale_share":0.58,"repost_share":0.04,"time_to_fill_p50_days":27,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Zapopan, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":124000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3074},"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Dask","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"Linux","optional":true},{"name":"Machine Learning","optional":true},{"name":"NumPy","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-07T00:00:00Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-17T13:33:53Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Job Details:\nJob Description:\nThis position requires candidates to upload a resume in English; you are welcome to upload multiple versions of your resume if you prefer but an English version of your resume will be required to be considered for this position.\nWe are looking for someone who is passionate about working hands-on technically with both internal and external teams to deliver impactful Fleet and Scale software solutions that are critical to Data Center customers. You will be part of a team responsible for developing Customer Fleet and Scale capabilities that enable high-quality Intel server product launches and improve in-fleet customer experience. The ideal candidate is a quick learner, results-oriented, and comfortable operating in a dynamic environment.\nAs a Senior Dev Ops Engineer, you will play a key role in developing and scaling Intel's software for data platform and analytics ecosystem. The position focuses on the design, development, deployment, and optimization of data infrastructure, telemetry processing pipelines, customer health analytics, and fleet quality solutions. You will work closely with software architects, customer engineering teams, validation organizations, and data scientists to transform large-scale platform telemetry into actionable insights that improve product quality, customer experience, defect screening, fleet reliability, and operational efficiency across Intel Xeon products.\nResponsibilities\nDevelop and maintain backend components supporting software and data platform infrastructure.\nWork on data extraction, processing, and analysis of information collected from Intel Server Health screening applications and customer fleet telemetry solutions.\nDesign and implement scalable data processing pipelines using distributed computing frameworks.\nBuild and maintain fleet-scale analytics solutions supporting customer telemetry, reliability, quality, and health monitoring data.\nPerform queries against cloud-hosted relational and non-relational databases.\nDesign, optimize, and maintain complex SQL queries supporting large-scale data analysis workloads.\nCreate and maintain data processing code and extraction pipelines that feed data marts and analytics platforms from enterprise data warehouses.\nDevelop, modify, and maintain Python-based backend services and data presentation applications supporting customer and stakeholder reporting needs.\nPropose, develop, and enhance dashboards, visualizations, and analytics solutions used by engineering teams and customers.\nDeploy, manage, and optimize services running on Kubernetes-based infrastructure.\nCreate and maintain CI/CD pipelines using Jenkins and modern DevOps practices.\nWork closely with Microsoft Azure cloud services to deploy scalable and reliable data platform solutions.\nCollaborate on software release planning, deployment activities, and operational readiness reviews.\nIdentify, isolate, track, and resolve software issues throughout the development lifecycle.\nPerform code debugging, root-cause analysis, bug resolution, and automated test development.\nOptimize system performance and proactively identify scalability bottlenecks across the data platform ecosystem.\nPartner with customer engineering, validation, manufacturing, and fleet operations teams to analyze large-scale telemetry datasets and improve platform quality initiatives.\nCandidate Profile\nThe successful candidate should bring a combination of:\nSoftware engineering and data engineering expertise using Python and modern data frameworks.\nDeep understanding of large-scale data platforms, distributed systems, and cloud-native architectures.\nExperience building telemetry analytics, fleet health monitoring, and customer quality solutions.\nDatabase architecture, data modeling, and query optimization expertise.\nExperience designing data marts, analytics pipelines, and scalable cloud-based data solutions.\nExpertise working with structured, semi-structured, and unstructured datasets.\nExperience with Kubernetes, containerized applications, CI/CD pipelines, and modern DevOps practices.\nData pipeline development, analytics, troubleshooting, and performance optimization skills.\nCustomer-focused engineering mindset with strong communication and collaboration capabilities.\nOperate across software architecture, validation, customer engineering, manufacturing, and quality organizations.\nExperience supporting large-scale Data Center and Xeon server solutions.\nProblem-solving skills and ability to thrive in highly dynamic technical environments.\nPassion for leveraging data to improve customer quality, fleet reliability, defect screening, and operational efficiency.\nThis position is a fixed-term opportunity lasting approximately 24 months.\nQualifications:\nMinimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.\nMinimum Qualifications:\nBachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics Engineering, Data Engineering, Data Science, or related field with 7+ years of relevant experience; OR Master's Degree in the same fields with 5+ years of relevant experience.\nExperience mentioned above should be in the following areas:Advanced Python programming skills.\nExperience developing and deploying applications on Kubernetes (K8s).\nExperience creating and maintaining CI/CD pipelines using Jenkins.\nKnowledge of relational and non-relational databases.\nWriting complex and optimized SQL queries.\nWorking with structured, semi-structured, and unstructured datasets.\nGit, GitHub, and pull request workflows.\nMicrosoft Azure cloud services or similar.\nDistributed computing frameworks such as Spark or Dask.\nDebugging software, resolving production issues, and developing automated tests.\nJupyter notebooks and interactive development environments.\nDocker and containerized application development.\n\nAdvance English level.\nMust have unrestricted, permanent right to work in Mexico (this role is not eligible for visa or immigration sponsorship).\nPreferred Qualifications:\nExperience proposing and designing data models supporting customer analytics, data marts, and reporting solutions.\nExperience designing and optimizing warehouse schemas, data storage models, and large-scale analytics environments.\nExperience with scikit-learn, pandas, NumPy, and other advanced data analytics libraries.\nExperience developing analytics workflows supporting fleet health monitoring and customer quality initiatives.\nKnowledge of Linux development environments and Linux internals.\nExperience with cloud-native technologies including Kubernetes, Docker, Azure, AWS, and GCP.\nExperience with data visualization frameworks, dashboard development, and business intelligence solutions.\nUnderstanding of machine learning workflows, MLOps, and model deployment practices.\nExperience processing large-scale telemetry, diagnostics, validation, manufacturing, or customer fleet datasets.\nUnderstanding of Intel Xeon platforms, system telemetry, and server architecture.\nJob Type:\nIntel Contract EmployeeShift:\nShift 1 (Mexico)Primary Location:\nMexico, GuadalajaraAdditional Locations:\nPosting Statement:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust\nN/AWork Model for this Role\nThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.*\nADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.","description_format":"text","description_chars":8321,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Semiconductor Manufacturing","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-08-07T00:00:00Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.356,"p_room":0.28,"age_days":71,"expected_fill_days":27,"reasons":["conf:34","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/intel-corporation-dev-ops-engineer-temporary-position","json_url":"https://alion.io/job/intel-corporation-dev-ops-engineer-temporary-position.json","meta":{"generated_at":"2026-10-17T15:57:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21646,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":35},"rest":"https://alion.io/mcp/rest/get_company?id=35"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintel-corporation-dev-ops-engineer-temporary-position"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fintel-corporation-dev-ops-engineer-temporary-position"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fintel-corporation-dev-ops-engineer-temporary-position"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/intel-corporation-dev-ops-engineer-temporary-position\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintel-corporation-dev-ops-engineer-temporary-position"}]}