Staff Software Engineer

🕒 il y a 3 jours

🇺🇸 États-Unis – Télétravail

💵 $143 559 - $277 713 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Advarra

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 1983

🏥 Santé

💼 Conseil

☁️ SaaS

Healthcare • Consulting • SaaS

Advarra est un fournisseur de technologie d'essais cliniques et de surveillance réglementaire intégrée, combinant l'examen indépendant de l'IRB et des services de conformité avec des plateformes SaaS d'entreprise (y compris Braid, OnCore, Clinical Conductor, eReg et eSource). L'entreprise offre une intelligence opérationnelle, un design de protocole et une automatisation alimentés par l'IA, une collaboration sur site, des outils de démarrage et d'inscription aux études, ainsi que des services de soutien stratégique aux promoteurs, CROs, sites de recherche et institutions pour améliorer l'efficacité, la conformité et la sécurité des patients tout au long du cycle de vie des essais cliniques.

Description

• Drive technical strategy and architecture within one or more product lines • Own end-to-end architecture for scalable, reliable, and maintainable systems • Translate architectural direction into actionable designs and implementations • Lead complex, cross-functional, high-impact technical initiatives spanning teams and components • Establish and reinforce design best practices, patterns, and standards • Partner with architects to implement and refine architectural direction • Resolve complex technical challenges involving ambiguity, scale, and cross-team dependencies • Lead product-line-level design reviews • Influence prioritization and technical trade-offs • Mentor and elevate staff and senior engineers • Identify and address technical debt, performance bottlenecks, and operational gaps • Improve reliability, observability, and operational excellence • Guide technology evaluation and adoption • Champion security strategy and remediation based on security scans and penetration testing • Collaborate with Product, QA, Support, and Cloud teams • Act as primary technical authority for the product line • Architect reliable data pipelines with data contracts, schema evolution, lineage, versioning, and idempotent processing • Build and productionize information extraction pipelines, agentic AI applications, and automated evaluation frameworks • Establish observability for data quality, pipeline reliability, model performance, and inference cost • Optimize model selection and inference orchestration for quality, latency, throughput, and cost • Partner with Data Science, Architecture, and Infrastructure teams to establish reusable engineering patterns and shared tooling

🎯 Exigences

• Bachelor’s degree in information systems, computer science, engineering, related discipline, or equivalent work experience • 12+ years of software engineering experience, including significant time in senior-level roles with increasing technical leadership responsibility • Proven experience designing and owning architecture for complex, mission-critical distributed systems • Deep expertise in modern backend and/or web technologies, including Python, Java, Rails, .NET, frontend frameworks, distributed systems, APIs, cloud platforms, and databases • Experience guiding technology decisions • Experience mentoring and developing senior-level engineers and influencing engineering best practices • Preferred: Experience in healthcare, life sciences, or regulated industries such as HIPAA or FDA environments • Preferred: Working knowledge of clinical trial processes and medical informatics • Preferred: Hands-on AWS application design and delivery using cloud-native services • Preferred: Designing for scale, high availability, performance optimization, and fault-tolerant systems • Preferred: Observability practices including logging, monitoring, tracing, and alerting • Preferred: Production data pipelines and distributed data processing systems • Preferred: Automated testing, CI/CD, cloud deployment, and operational monitoring • Preferred: Taking AI/ML workflows from prototypes into reliable production systems • Preferred: Data architecture and modeling, schema design and evolution, data quality management, and data lineage

🏖️ Avantages

• Variable bonus eligibility • Health coverage • Paid holidays

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