Top Hybrid Senior Level Software Engineer Jobs
Seeking an experienced Senior Data Engineer to lead the design, development, and management of scalable data pipelines and architecture for a cell therapy manufacturing platform. Responsibilities include data pipeline implementation, collaboration with cross-functional teams, data preprocessing for machine learning models, and documentation of processes. Requirements include a Bachelor's or Master's degree in Computer Science, 6+ years of data engineering experience, proficiency in Azure services, programming skills in Python or C#, and experience in data visualization tools and data governance.
The Senior Embedded Software Test Engineer will analyze and test embedded software for the ALIA-250 aircraft, developing automated and manual tests to ensure compliance with DO-178C Level A. Responsibilities include conducting software analyses, peer reviews, generating lifecycle data, and collaborating with development teams while ensuring excellent communication and organizational skills.
The Solutions Architect will partner with the sales team, engaging in technical discussions and managing relationships with prospects and customers. This role involves configuring the StackHawk scanning engine and facilitating application security testing within CI/CD pipelines to help convert prospects to customers successfully.
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The SharePoint Developer is responsible for developing and maintaining Microsoft applications (including Power Platform tools) to enhance client services. This role involves strategizing, designing, and implementing solutions, ensuring adherence to lifecycle methodologies, and conducting technical assessments while delivering high-quality customer service.
The Business Developer will cultivate business opportunities within the Department of the Interior, leveraging existing relationships and developing new ones. Responsibilities include identifying potential clients, maintaining client relations, presenting to stakeholders, tracking prospects, and collaborating with internal teams on strategic plans, especially around AI/ML solutions.
The role involves enhancing an automated trading system's design and performance, implementing dynamic trading strategies, collaborating with teams for workflow automation, and providing technical support for the trading system.
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