Staff Software Engineer

🕒 Ontem

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $143.559 - $277.713 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Advarra

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1983

💼 Consultoria

📦 Logística

📣 Marketing

Consulting • Logistics • Marketing

A Advarra é fornecedora de tecnologia integrada e serviços para pesquisa clínica, combinando revisão institucional e serviços de conformidade com plataformas de software para suportar todo o ciclo de vida do ensaio clínico. A empresa oferece serviços de revisão ética (IRB, IBC, DMC, adjudicação de endpoint), capacitação de sites e contratação de equipes de pesquisa, além de um conjunto de produtos em nuvem - incluindo eRegulatory, eConsent, eSource/EDC, CTMS e ferramentas de design de estudo - além de um motor de inteligência operacional alimentado por IA (Braid) para agilizar o início, o recrutamento e as operações dos ensaios. A Advarra atende patrocinadores, CROs, sites de pesquisa e instituições com foco na proteção dos pacientes, conformidade regulatória e aceleração dos resultados dos ensaios.

Descrição

• 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

🎯 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 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

🏖️ Benefícios

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

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