- ServiceNow, Inc. (San Francisco, CA)
- …8,100 customers, including 85% of the Fortune 500(R). Our intelligent cloud -based platform seamlessly connects people, systems, and processes to empower ... MVP iteration, and long-term scale + **DevOps fluency:** Experience deploying in AWS , Azure, or GCP with CI/CD, containers, and infra-as-code + **Field readiness:**… more
- Cardinal Health (Sacramento, CA)
- …or similar technology. + Hands-on experience with computing technologies like GCP or AWS (Amazon Web Services). + Proven experience working with all layers of ... + Experience with HCL Commerce, Coveo Search/Any search engine, Adobe Experience cloud is preferred. + Must have experience in doing code reviews, writing… more
- ICW Group (San Diego, CA)
- …tools for data ingestion (eg, **Fivetran** ). + Deep familiarity with ** cloud -based data platforms** (eg, ** AWS Aurora** , **Redshift** , **Snowflake** ... ), especially in managing data across hybrid environments. + Experience with **data quality** and **master data management** tools for ensuring data integrity and consistency. + Comprehensive knowledge of data privacy regulations, such as **GDPR, CPRA,** and… more
- Niagara Bottling LLC (Diamond Bar, CA)
- …of work experience and education + Preferred Qualifications: + 1+ Years - Cloud technologies experience (Azure preferred, AWS acceptable) + 1-2 Years - ... Hands-on experience applying AI/ML techniques within engineering or integration workflows (eg, intelligent monitoring, error handling, or code generation), with demonstrated practical understanding and implementation + 1-2 Years - Experience in Python… more
- Pinkerton (San Mateo, CA)
- …and accessibility. + Manage and optimize data architecture, storage solutions, and cloud -based platforms to support scalable operations. + Track, monitor, and report ... and engineering programs including the development of scalable data solutions. + AWS Certified Data Analytics, Microsoft Certified Azure Data Engineer Associate or… more
- SHI (Sacramento, CA)
- …reporting against large amounts of financial data in a scalable fashion + Public cloud expertise and/or certifications - Azure, AWS , GCP + Hands-on experience ... with DevOps methodologies and concepts including CI/CD, IaC and automated testing The estimated annual pay range for this position is $150,000 - $190,000 which includes a base plus bonus structure. The compensation for this position is dependent on job-related… more
- City of Stockton, CA (Stockton, CA)
- …the latest technologies, various AI tools, Power BI, Databricks, Azure, Copilot Studio -Google Cloud Platform (GCP), and Amazon Web Services ( AWS ), to name a ... few, with experience in the implementation and optimization of enterprise-grade IT systems. The Senior Systems Analyst will collaborate closely with developers, City department SME, and IT leadership to ensure our systems support strategic objectives, enhance… more
- GitHub (CA)
- …management or escalation processes + Familiarity with production-level virtualization platforms and/or cloud providers (eg, VMware ESX, KVM, AWS , Azure) + ... Ability to read, understand, and update code/scripts in Shell, Ruby, Go, or similar languagesUnderstanding of common components in the web application stack (eg, HAProxy, Nginx, MySQL, Unicorn) **Compensation Range** The base salary range for this job is USD… more
- Virtual Service Operations (El Segundo, CA)
- …opportunities to foster continuous growth. More About VSO: VSO is a hybrid cloud and managed services consulting firm. Much of VSO's success can be attributed ... to our deep partnerships with IT services industry leaders such as AWS , IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to… more
- NVIDIA (Santa Clara, CA)
- …lakes (eg, Delta Lake), ETL/ELT pipelines, and streaming data. + Familiarity with cloud data platforms such as Databricks, Snowflake, AWS EMR, Google Dataproc. ... Experience with their features, strengths, and weaknesses is a significant plus. + Experience with machine learning (ML) and AI concepts and how data platforms support the entire ML lifecycle (feature stores, model training, inference, MLOps). + Proven track… more