Top Python Jobs in Wilmington, NC
We are looking for a reliability expert who is passionate about scaling Cloud services to join our growing SRE team. An ideal candidate is someone who is aware of current industry trends (particularly those related to reliability) and who thrives on working with a diverse set of partners, who can articulate the business impact of a problem and can also dive deep into the technical solution. You'll achieve this by crossing team and functional boundaries to advocate for reliability methodologies and will work with a variety of platform, product and SRE teams to both build reliability into our platform and drive adoption of those practices into our products.
As a Senior Business Intelligence Engineer in Compliance Engineering at Cash App, you will be responsible for data architecture, modeling, pipeline tooling, and dashboarding to support financial crimes detection. You will collaborate with various teams to analyze large datasets, design ETL pipelines, and monitor system health.
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Seeking a Cloud Operations Engineer to support 24x7 service operations at a fast-growing cloud storage company. Responsibilities include monitoring, troubleshooting hardware issues, and collaborating with cross-functional teams. Ideal candidates should have strong technical skills, communication abilities, and experience in data center hardware troubleshooting.
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Seeking an experienced Senior Distinguished Engineer, AI Systems, to help build enterprise AI capabilities. Responsibilities include designing robust infrastructure, building large-scale training clusters, deploying ML models, and supporting AI research and development. Requires at least 7 years of experience in distributed computing and ML systems, proficiency in Python and C/C++, and experience with AI and ML frameworks in public cloud.
Seeking an experienced Senior Distinguished Engineer, AI Systems to help build the foundations of enterprise AI capabilities. Responsibilities include designing and building robust infrastructure, deploying machine learning models, and supporting AI research and development. Preferred qualifications include a master's degree or PhD, experience with large-scale distributed platforms, and familiarity with cloud environments.
Design and build infrastructure for large-scale AI systems, including fault-tolerant infrastructure, ML model serving, and training clusters. Develop applications leveraging AI techniques. Support the ML development lifecycle and implement MLOps capabilities.
Design and implement improvements to Python development ecosystem and workflows, collaborate with engineers, lead technical projects, participate in planning and code reviews, drive software engineering best practices, mentor team members, conduct technical interviews, and contribute to team culture.
Seeking a Software Development Engineer IV to join the Marketplaces team at ID.me. Responsible for driving traffic generation and member activation in the B2C application ecosystem. Build and maintain scalable web applications, collaborate with team members, and use test driven development practices.
Senior Deployment Engineer responsible for building and automating continuous integration/delivery platform, collaborating with various teams, researching and recommending new tools, and improving CI/CD pipelines.
Lead a team of data engineers to architect, develop, and maintain data pipelines using the latest technologies. Drive data quality, scale data infrastructure, and ensure data accessibility and integrity. Collaborate with cross-functional teams to deliver projects and empower data-driven development.
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Seeking a full-stack Software Engineer to join the Quality team at Grammarly, responsible for building an internal quality evaluation platform used by various teams. Responsibilities include owning quality evaluation systems, collaborating with engineers and product managers, improving reliability and performance of evaluation pipelines, implementing new evaluation methodologies, and mentoring junior engineers.
Design software for operating PostgreSQL databases in production at scale. Collaborate with stakeholders, write high-quality code, and work in a collaborative team environment. Requires expertise in managing databases in production, data structures, algorithms, and Linux experience.
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