Senior Software Engineer, Sightline Information Technology

Emploi pas sur LinkedIn

🕒 il y a 3 jours

🦀 Maryland – Distant

infoinfo

💵 $87 635 - $153 545 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

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Publiée sur la page carrières de JHU EEHPC, pas via un site d'emploi

Repérée par Remote Rocketship il y a 3 jours

Toujours ouverte sur le site de JHU EEHPC. Vérifiée il y a 1 heure.

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JHU EEHPC

11 - 50 employés

📚 Éducation

🤖 Intelligence artificielle

🏥 Santé

Education • Artificial Intelligence • Healthcare

Le JHU EEHPC est le Laboratoire de Calcul Haute Performance Énergétiquement Efficace de l'Université Johns Hopkins, dirigé par Tinoosh Mohsenin. Le laboratoire se concentre sur la conception d'appareils médicaux, de santé et portables, et le développement de systèmes de calcul portables et mobiles, à faible consommation énergétique, grâce à des approches intercalaires couvrant les algorithmes, l'architecture, le matériel et l'intégration système. Il applique des méthodes de calcul haute performance et d'intelligence artificielle à la surveillance intelligente de la santé, à la robotique, à la navigation autonome et à des domaines connexes, visant à révolutionner les soins de santé, le transport et les services publics.

Description

• Create, implement, maintain, monitor, support, and document departmental and enterprise-wide application systems • Install, modify, and test applications, operating systems, file structures, hardware, communication devices, and productivity tools • Gather and translate business requirements into functional and technical specifications and designs • Produce deliverables based on functional specifications and designs • Maintain databases and application system code • Manage the full life cycle of large, long-term, highly complex projects and multiple projects of varying complexity • Develop broad-based solutions involving multifaceted technologies and business processes • Lead strategy, design, and architecture for solutions • Define complex business, clinical, and education problems through client meetings and document findings • Gather complex system requirements and research existing technology • Develop project plans, tasks, milestones, specifications, data structures, algorithms, and outputs • Direct, review, monitor, and mentor lower-level and junior staff • Document code and associated processes • Create, document, and execute complex test scenarios • Author and maintain technical and end-user documentation • Implement changes according to change management policies and procedures • Monitor changes, resolve complex technical problems, and provide application support • Perform other duties as assigned

🎯 Exigences

• Bachelor's Degree (or foreign equivalent) in computer science, computer information systems, information technology, electronic engineering, or a related field • Six years of related experience with computer systems and applications • Additional education may substitute for required experience under the JHU equivalency formula • Experience working with Microsoft Fabric or similar cloud-based analytics and data engineering platforms • Experience designing and maintaining data pipelines in cloud environments • Experience developing and maintaining Python-based data engineering solutions • Familiarity with DevOps methodologies, version control systems, and CI/CD deployment practices • Experience implementing Infrastructure as Code (IaC) solutions • Knowledge of modern data lake, lakehouse, and data warehouse architectures • Familiarity with Microsoft Azure and related data services • Understanding of data governance, security, and data lifecycle management principles • Successful candidates subject to a pre-employment background check

🏖️ Avantages

• Total rewards package supporting employees' health, life, career and retirement • Seasonal flu vaccine required by Johns Hopkins University, with religious or medical exceptions • Required vaccinations for applicable positions provided at no cost in the Occupational Health office • Remote work arrangement • Monday–Friday schedule, 8:30 am–4:30 pm • Pre-employment accommodation support

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