AWS Cloud Engineer / Administrator at Western Digital

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

159800.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Terraform, CloudFormation, Data Lakehouse, S3, Iceberg, Lake Formation, Trino, RDS, Redshift, Lambda, CI/CD, VPC, IAM, CloudWatch, AWS Bedrock

Industry

Computer Hardware Manufacturing

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 and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description We are seeking an experienced AWS Cloud Data Administrator with strong expertise in Cloud Infrastructure, Data Lakehouse architecture, Data Governance, and Generative AI platforms. The ideal candidate will design, implement, and manage scalable AWS environments, build secure enterprise data platforms, and support GenAI solution integration. This role requires deep hands-on experience across cloud infrastructure, data engineering, governance, and AI integration. Key Responsibilities Design, deploy, and manage AWS infrastructure using Terraform and CloudFormation (Infrastructure as Code). Build and manage enterprise Data Lakehouse architectures using Amazon S3 (including S3 Tables) and Apache Iceberg. Implement centralized data governance and fine-grained access control using AWS Lake Formation. Enable secure cross-account data sharing and metadata management. Deploy and optimize Trino for distributed SQL analytics. Administer and optimize Amazon RDS (MySQL, PostgreSQL, Oracle, SQL Server) and Amazon Redshift clusters (WLM, query tuning, HA/DR). Implement serverless automation using AWS Lambda and support CI/CD pipelines. Design secure VPC architectures, networking configurations, and enforce IAM least-privilege access models. Implement monitoring, logging, and alerting using Amazon CloudWatch. Support enterprise Generative AI solutions using AWS Bedrock, including Retrieval-Augmented Generation (RAG) architectures. Qualifications Cloud & DevOps Strong experience with AWS services: EC2, EKS, EMR, S3, IAM, VPC, Lambda, CloudWatch Expertise in Terraform and AWS CloudFormation CI/CD pipeline implementation and automation Data & Lakehouse AWS Lake Formation (data governance, fine-grained access control, data catalog) Apache Iceberg (schema evolution, partitioning, ACID transactions) Trino distributed query engine Data lake design and ETL/ELT architecture Databases & Data Warehousing Amazon RDS (HA setup, backups, replication, performance tuning) Amazon Redshift (WLM, query optimization, data modeling) GenAI & AI Platforms AWS Bedrock integration Retrieval-Augmented Generation (RAG) implementation Prompt engineering and AI security best practices Security & Networking VPC architecture, private endpoints, security groups IAM roles, RBAC, encryption at rest and in transit Preferred Qualifications AWS Certifications (Solutions Architect, DevOps Engineer, Data Analytics, AI Specialty) Experience working in enterprise or regulated environments Cloud cost optimization experience Candidate Profile The ideal candidate is a hands-on senior cloud engineer capable of operating across Infrastructure, Data Engineering, Governance, Analytics, and Generative AI platforms. Strong problem-solving skills, automation mindset, and enterprise architecture experience are essential. Additional Information 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. Based on our experience, we anticipate that the application deadline will be 04/27/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-AS1 Compensation & Benefits Details An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. You will be eligible to be considered for bonuses under either WD’s Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to WD's Standard Terms and Conditions for Restricted Stock Unit Awards. We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the WD Savings 401(k) Plan. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected]. Job Type (exemption status): Exempt position - Please see related compensation & benefits details below Salary Range: 119,900.00-159,800.00 Business Function: Database Administration Work Location: San Jose Great Oaks Headquarters--LOC_WDT_USCA23

Responsibilities

The role involves designing, deploying, and managing scalable AWS infrastructure and enterprise data platforms using Infrastructure as Code tools like Terraform and CloudFormation. Key duties include building Data Lakehouse architectures with S3 and Iceberg, implementing data governance via Lake Formation, and supporting Generative AI solution integration using AWS Bedrock.