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Form of workAt Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.
At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that. Our technology helped people put a man on the moon.
We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world's biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.
Binge-watch any shows, use social media or shop online lately? You'll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That's us, too.
We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital, G-Technology, SanDisk and WD brands.
Today's exceptional challenges require your unique skills. It's You & Western Digital. Together, we're the next BIG thing in data.
About Advance Analytics Office (AAO) AND Big Data Platform (BDP):
AAO is missioned with accelerating Analytics solutions at scale across the Enterprise to rapidly capture business value. These solutions target key business metrics, such as, reducing manufacturing cost, improve capital efficiency, reduce time-to market to develop new products, improve operational efficiency, and improve customer experience.
These solutions are built using cutting edge Industrial 4.0 technologies and are delivered through a platform approach to enable rapid scaling. The solutions span AI/ML for improving manufacturing yield, quality, equipment uptime, and adaptive testing, Operations Research for capacity and scheduling optimization, Digital Twin for inventory and logistics optimization, and Product Telematics for managing customer fleet management solutions. Many of these solutions are first-of-a-kind that have discovery and rapid learning elements with the intent of taking solution to scale.
Big data platform, (BDP) team provides self-service data and rapid scaling application platforms enabling business impactful factory solutions. You will have opportunities to partner with more than dozen factories across the globe, global product development teams, customer solutions, and supporting operations like Finance, supply chain, Procurement, Sales etc.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
As platform engineer, you are responsible for architecting, designing, managing, and supporting Kubernetes based on-premises and cloud solutions. You will be responsible in maintaining overall health of Big Data Edge platform including troubleshooting storage, network, and necessary compute. You will also be responsible in building healthy DevOps platform with policies and procedures around implementing and supporting our global hybrid cloud container strategies using Kubernetes deployed in Google Cloud Platform (GCP) and Amazon Web Services (AWS).
Candidate should have expertise in modern application concepts such as 12-factor application development using infrastructure as a code discipline. Experience in setting up continuous integration of source code pipelines using Bitbucket, Jenkins, Terraform, Ansible, etc., is preferred. Ability to build continuous deployments using Docker, Artifactory, Spinnaker, Argo CD, etc., is required with a strong advocate of DevOps principles. Candidate should be passionate about managing and supporting modern software-as-a- service (SaaS) design principles using preferred cloud service provides or on-premises solutions.
This position requires partnering with various Western Digital manufacturing, engineering, and IT teams in understanding factory-critical workloads and designing solutions. Big data platform, BDP team provides self-service data and application platforms to enable machine learning (ML) capabilities to engineering and data science community. The ideal candidate should be passionate about working with various cloud native technologies to handle various Service Level Agreements (SLA). Candidate should be versatile to experiment with fail-fast approach to adopt to new technologies and natural troubleshooting capabilities. Communication with internal customers, external vendors and co-workers in a clear and professional manner is expected.
REQUIRED QUALIFICATIONS
- Bachelor of Engineering (or) Master of Engineering in Computer Science, Information Technology, Computer Information Systems (or) relevant working experience in IT field
- 8+ years of experience in handling enterprise level production applications, infrastructure for storage, memory, network, compute, and virtualization.
- Minimum 4+ years of architecting, designing, managing, and supporting Kubernetes on-premises and cloud solutions for manufacturing environment.
- Hands-on Python and Unix shell scripting is required with a strong advocate of DevOps principles in setting up continuous integration of source code pipelines using Bitbucket, Jenkins, Terraform, Ansible and continuous deployment pipelines using Artifactory and Spinnaker.
- Strong troubleshooting skills in finding root cause of an incident with respect to compute, network, storage resource bottlenecks and proactively identifying corrective actions of existing production workloads is required.
- Experience in using monitoring/alerting observability tools such as Splunk, Prometheus & Grafana
- Candidate should have experience in handling on-call alerts using PagerDuty and responding to ServiceNow incidents.
- Candidate should have an appetite to learn new relevant technologies to support solutions.
PREFERRED QUALIFICATIONS
- Certification in Terraform (or) any other infrastructure automation tool.
- Kubernetes work experience in GCP Anthos and/or AWS EKS knowledge is preferred.
- Handling automation scripts using Ansible, Terraform and/or Cloud Formation is preferred.
- Familiarity with data services such as Elasticsearch, Redis, NiFi, MongoDB, MySQL, PostgreSQL, etc., is preferred.
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster.
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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