Dev Ops Engineer- Temporary position

Job Description: 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.

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