Staff Software Engineer

🕒 Ontem

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $143.559 - $277.713 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 0%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Advarra

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1983

🏥 Saúde

💼 Consultoria

☁️ SaaS

Healthcare • Consulting • SaaS

Advarra é um fornecedor de supervisão regulatória integrada e tecnologia para ensaios clínicos, combinando serviços independentes de revisão de IRB e compliance com plataformas empresariais SaaS (incluindo Braid, OnCore, Clinical Conductor, eReg e eSource). A empresa oferece inteligência operacional, design de protocolo impulsionado por IA e automação, colaboração em sites, ferramentas para início e recrutamento de estudos e serviços de habilitação estratégica para patrocinadores, CROs, sites de pesquisa e instituições para melhorar a eficiência, compliance e segurança do paciente ao longo do ciclo de vida do ensaio clínico.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• Variable bonus eligibility • Health coverage • Paid holidays

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo