Dev Ops Engineer- Temporary position

About This Role

• 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.
• Responsibilities 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.