Top Software Engineer Jobs in Charlotte, NC
As a Software Engineer II at Quokka, you will develop web-based software for automated analysis of mobile applications, lead implementation decisions, and mentor junior engineers. You will collaborate with stakeholders across projects to enhance the company's mobile security solutions.
The Research Engineer will design and develop automated security analysis solutions for Android and iOS, conducting research to identify security issues and develop novel program analysis tools for mobile applications.
As a DevOps Engineer, you will automate provisioning and deployment in Azure, maintain application analysis pipelines, collaborate with engineering teams, lead CI/CD best practices, assist in production service monitoring, and help establish build pipelines in an agile environment.
In this remote Senior Solutions Architect role, you will build and deliver quantum optimization solutions, work collaboratively with internal teams and customers, and model complex use cases. You'll gather requirements, design applications, and present technical information, all while fostering relationships and contributing to product development.
The Technical Account Manager will collaborate with Plaid's strategic partners to leverage Plaid's products, ensuring their technical goals are met. Responsibilities include managing post-sales technical strategies, building relationships with technical stakeholders, and serving as the escalation point for technical issues.
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As a Senior Software Engineer on the Treasury team, you will lead technical initiatives, ensuring the reliability of Lithic's financial services. Your responsibilities include developing features, mentoring team members, and driving systemic improvements while maintaining high standards in code. You'll also participate in project planning and manage funds flow between Lithic and third parties.
As a Backend/API Engineer at Stripe, you'll design, build, test, and deploy code to improve customer experience for various payment processing initiatives and risk management systems. You'll work on projects across different teams to enhance Stripe's financial infrastructure.
The Senior Automation Engineer is responsible for implementing and managing process recipes, ensuring adherence to global strategies in DCS, PCS, MES, and PLC systems. This role includes project ownership, oversight of contractors, and troubleshooting interfaces with various manufacturing control systems.
The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.
The Data Annotator will label and curate data for AI model training, including annotating multimodal data and generating multiple-choice questions. The role requires attention to detail, English proficiency, and data literacy.
As a Data Annotator, you will label, curate, and review data to train and evaluate AI models. Responsibilities include annotating multimodal data, generating questions, and ensuring quality control of your work. This remote role offers flexible hours and the potential to influence AI advancements through precise data handling.
The Sr. Sales Engineer will engage with clients to present solutions related to Identity and Privileged Access Management, strategize with internal teams, and guide product strategy while participating in events and content creation to enhance the company's presence in the market.
As a Senior DevOps Engineer at Anza, you will be responsible for maintaining large-scale distributed systems, automating deployments and continuous integration pipelines, and ensuring reliable software releases. You will monitor blockchain clusters and develop CI systems while collaborating with a team to enhance the Solana ecosystem.
The Analytics Engineer at Zepz will develop and maintain data models, optimize data pipelines, and collaborate with cross-functional teams to provide actionable insights and ensure data quality. The role involves troubleshooting data issues and adhering to best practices for data consumption.
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