Staff Software Engineer

🕒 il y a 3 jours

🇺🇸 États-Unis – Télétravail

💵 $143 559 - $277 713 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

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

Repérée par Remote Rocketship il y a 3 jours

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

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Advarra

501 - 1000 employés

Fondée en 1983

💼 Conseil

📦 Logistique

📣 Marketing

Consulting • Logistics • Marketing

Advarra est un fournisseur de technologies et de services intégrés pour la recherche clinique, combinant des services de révision institutionnelle et de conformité avec des plateformes logicielles pour soutenir l'ensemble du cycle de vie des essais cliniques. L'entreprise propose des services de révision éthique (IRB, IBC, DMC, adjudication des critères de jugement), la promotion des sites et le recrutement de personnel de recherche, ainsi qu'une suite de produits cloud — y compris eRegulatory, eConsent, eSource/EDC, CTMS et des outils de conception d'étude — en plus d'un moteur d'intelligence opérationnelle alimenté par l'IA (Braid) pour rationaliser le démarrage, l'enrôlement et les opérations des essais. Advarra sert des commanditaires, CRO, sites de recherche et institutions avec un accent sur la protection des patients, la conformité réglementaire et l'accélération des résultats des essais.

Description

• Drive technical strategy and architecture within one or more product lines • Own end-to-end architecture, ensuring systems are scalable, reliable, and maintainable • Translate architectural direction into actionable designs and implementations • Lead complex, cross-functional, high-impact technical initiatives across 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 drive remediation based on security scans and penetration testing • Collaborate with Product, QA, Support, and Cloud teams • Act as the 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 highly regulated industries • Preferred: working knowledge of clinical trial processes and medical informatics • Preferred: hands-on experience designing, delivering, and operating applications on AWS using cloud-native services • Preferred: experience designing for scale and 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, continuous integration and delivery, 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 • Ability to sit or stand for extended periods at a stationary workstation • Ability to regularly carry, raise, and lower objects up to 10 lbs. • Ability to learn and comprehend basic instructions • Focus and attention to tasks and responsibilities • Verbal communication, listening and understanding, responding, and speaking

🏖️ Avantages

• Variable bonus eligibility in addition to base salary • Health coverage • Paid holidays

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