- SAIC (San Diego, CA)
- …and Scrum methodologies. + Knowledge of cloud platforms and services (eg, AWS , Azure , GCP). + Familiarity with containerization and orchestration tools (eg, ... legacy command and control systems into a modern hybrid cloud environment to accelerate decision making and increase mission...a cutting-edge approach. SAIC is seeking a Software Integration Engineer in support of our United States Air Force… more
- Cisco (San Jose, CA)
- …of supporting product development and testing automation + Strong background in working with cloud platforms ( AWS , GCP, Azure ), especially in setting up and ... **Principal Software Engineer (Hybrid Remote - San Jose, CA)** **Meet...You'll build systems that validate the behavior of complex, cloud -native applications, applying principles from distributed systems, algorithms, and… more
- Disney Entertainment (Glendale, CA)
- …desire to be a part of it + Experience with Java/Python, SQL Databases and AWS / Azure + Experience with Web development (React, Angular etc.) The hiring range for ... love to use. **Job Summary:** As a Senior Software Engineer , you will be assume a critical role within...and analytical skills + Have deep expertise with Sales Cloud , including Lightning Flows, Apex Triggers, and SOQL/SOSL, Pardot… more
- General Motors (Mountain View, CA)
- …Redis) + Familiarity with version control systems (eg, Git) and CI/CD practices + Experience with cloud platforms (eg, AWS , Azure , or Google Cloud ) + ... and delight customers. We are seeking an experienced Full Stack Senior Software Engineer to join our dynamic software engineering team. In this role, you will… more
- Hyundai Autoever America (Fountain Valley, CA)
- …techniques. + Cloud Computing: Familiarity with cloud computing platforms such as AWS , Azure , and Google Cloud . + Data Security: Knowledge of data ... 10025 - Big Data Engineer Job Summary Design, build, and maintain the...frameworks. + 7+ years of experience as a Data Engineer + Big Data Technologies: Knowledge of Big Data… more
- General Motors (Sacramento, CA)
- …: Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering + ** Cloud & Big Data Platforms: (Preferred** Microsoft Azure (Data Lake, ... intelligence & machine learning. As the AI Safety Principal Engineer , you will need to stay current on industry...Machine Learning, Databricks)), **Nice to Have** ( AWS (S3, SageMaker, Bedrock) or Google Cloud … more
- NVIDIA (Santa Clara, CA)
- …+ Experience architecture design and operation of storage solutions on any of the leading Cloud environment [ AWS , Azure or GCP] + Experience with AI/HPC ... storage, to cater to the requirements of an expanding cloud infrastructure. As an expert, you will help us...are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to… more
- General Motors (Mountain View, CA)
- …and functional testing) Strong Knowledge of Web Services (SOAP and REST). + Exposure to AWS , Azure and SQL is a plus. + Experience with system migrations. + ... **Job Description** **The Role** As a Senior Software Engineer at General Motors, you will be an...scale technology solutions with substantial insights into Salesforce Sales Cloud , Service Cloud , and Communities. + Extensive… more
- Palo Alto Networks (Santa Clara, CA)
- …vectors + Working knowledge of cloud architectures (SaaS, IaaS, PaaS) and major cloud providers ( AWS , Azure , GCP) + Experience in configuring, managing, ... with precision. **Your Career** As a Senior Technical Marketing Engineer , you will join a team responsible for driving...you will join a team responsible for driving our Cloud Applications and Data security products, including SaaS, IaaS,… more
- Qualcomm (Santa Clara, CA)
- …TensorFlow, PyTorch, etc. + Familiarity with edge computing platforms and tools. + Knowledge of cloud platforms like AWS , Azure , or Google Cloud . ... are seeking a highly skilled and experienced Staff Software Engineer with 5-10+ years of expertise in AI/ML to...AI solutions into wireless and networking systems. + Utilize cloud technologies to enhance AI/ML model deployment and scalability.… more