Full Job Description
Company Description
At 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 ADVANCED 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.
Big data platform, BDP team provides self-service data and application platforms enabling rapid scaling of services to make ever increasing business impact. You will have the opportunity to partner in making remarkable things happen across WDT’s more than dozen factories across the globe, global product development teams, customer solutions, and supporting operations like Finance, supply chain, Procurement, Sales etc
Job Description
As an Administrator of message-based software platform, you are responsible for architecting, designing, managing and supporting message-based real time solutions.
You will be responsible in maintaining overall health of message-based 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, etc., is required with a strong advocate of DevOps principles.
Candidate should be passionate about managing and supporting modern softwareas-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.
Qualifications
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 operationalizing and/or deploying asynchronous message-based microservices architecture, preferably Kafka based solutions for manufacturing environment.
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 Kafka workloads is required.
Candidate should have experience in managing large Kafka clusters with several brokers, work with application team in designing optimum message payload, managing Kafka internal segments and indices effectively.
Candidate should have experience in handling on-call alerts using PagerDuty and responding to ServiceNow incidents.
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.
Candidate should have strong troubleshooting skills with an appetite to learn new technology
Experience in using monitoring/alerting observability tools such as Splunk, Prometheus & Grafana
PREFERRED QUALIFICATIONS
Any certification in message-based architecture administration such as Kafka, JMS, TIBCO MQ, IBM MQ, Microsoft WCF, SonicMQ, etc., is preferred
Kubernetes work experience in GCP Anthos and/or AWS EKS knowledge is preferred
Handling automation scripts using Terraform and/or Cloud Formation is preferred
Familiarity with data services such as ElasticSearch, Redis, NiFi, MongoDB, MySQL, PostgreSQL,etc., is preferred
Additional Information
All your information will be kept confidential according to EEO guidelines.
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