Job Details:
This 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.
We 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.
As 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.
What you'll do
Develop and maintain backend components supporting software and data platform infrastructure.
Work on data extraction, processing, and analysis of information collected from Intel Server Health screening applications and customer fleet telemetry solutions.
Design and implement scalable data processing pipelines using distributed computing frameworks.
Build and maintain fleet-scale analytics solutions supporting customer telemetry, reliability, quality, and health monitoring data.
Perform queries against cloud-hosted relational and non-relational databases.
Design, optimize, and maintain complex SQL queries supporting large-scale data analysis workloads.
Create and maintain data processing code and extraction pipelines that feed data marts and analytics platforms from enterprise data warehouses.
Develop, modify, and maintain Python-based backend services and data presentation applications supporting customer and stakeholder reporting needs.
Propose, develop, and enhance dashboards, visualizations, and analytics solutions used by engineering teams and customers.
Deploy, manage, and optimize services running on Kubernetes-based infrastructure.
Create and maintain CI/CD pipelines using Jenkins and modern DevOps practices.
Work closely with Microsoft Azure cloud services to deploy scalable and reliable data platform solutions.
Collaborate on software release planning, deployment activities, and operational readiness reviews.
Identify, isolate, track, and resolve software issues throughout the development lifecycle.
Perform code debugging, root-cause analysis, bug resolution, and automated test development.
Optimize system performance and proactively identify scalability bottlenecks across the data platform ecosystem.
Partner with customer engineering, validation, manufacturing, and fleet operations teams to analyze large-scale telemetry datasets and improve platform quality initiatives.
Candidate Profile
The successful candidate should bring a combination of:
Software engineering and data engineering expertise using Python and modern data frameworks.
Deep understanding of large-scale data platforms, distributed systems, and cloud-native architectures.
Experience building telemetry analytics, fleet health monitoring, and customer quality solutions.
Database architecture, data modeling, and query optimization expertise.
Experience designing data marts, analytics pipelines, and scalable cloud-based data solutions.
Expertise working with structured, semi-structured, and unstructured datasets.
Experience with Kubernetes, containerized applications, CI/CD pipelines, and modern DevOps practices.
Data pipeline development, analytics, troubleshooting, and performance optimization skills.
Customer-focused engineering mindset with strong communication and collaboration capabilities.
Operate across software architecture, validation, customer engineering, manufacturing, and quality organizations.
Experience supporting large-scale Data Center and Xeon server solutions.
Problem-solving skills and ability to thrive in highly dynamic technical environments.
Passion for leveraging data to improve customer quality, fleet reliability, defect screening, and operational efficiency.
This position is a fixed-term opportunity lasting approximately 24 months.
Requirements
Minimum 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.
Bachelor'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.
Experience mentioned above should be in the following areas:Advanced Python programming skills.
Experience developing and deploying applications on Kubernetes (K8s).
Experience creating and maintaining CI/CD pipelines using Jenkins.
Knowledge of relational and non-relational databases.
Writing complex and optimized SQL queries.
Working with structured, semi-structured, and unstructured datasets.
Git, GitHub, and pull request workflows.
Microsoft Azure cloud services or similar.
Distributed computing frameworks such as Spark or Dask.
Debugging software, resolving production issues, and developing automated tests.
Jupyter notebooks and interactive development environments.
Docker and containerized application development.
Advance English level.
Must have unrestricted, permanent right to work in Mexico (this role is not eligible for visa or immigration sponsorship).
Nice to have
Experience proposing and designing data models supporting customer analytics, data marts, and reporting solutions.
Experience designing and optimizing warehouse schemas, data storage models, and large-scale analytics environments.
Experience with scikit-learn, pandas, NumPy, and other advanced data analytics libraries.
Experience developing analytics workflows supporting fleet health monitoring and customer quality initiatives.
Knowledge of Linux development environments and Linux internals.
Experience with cloud-native technologies including Kubernetes, Docker, Azure, AWS, and GCP.
Experience with data visualization frameworks, dashboard development, and business intelligence solutions.
Understanding of machine learning workflows, MLOps, and model deployment practices.
Understanding of Intel Xeon platforms, system telemetry, and server architecture.
Job Type:
Intel Contract Employee
Shift:
Shift 1 (Mexico)
Primary Location:
Mexico, Guadalajara
Additional Locations:
Posting Statement:
All 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
N/A
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL 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.