Staff Software Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $143.6k - $277.7k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

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Advarra

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1983

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Advarra is a provider of integrated technology and services for clinical research, combining institutional review and compliance services with software platforms to support the full clinical trial lifecycle. The company offers ethics review services (IRB, IBC, DMC, endpoint adjudication), site enablement and research staffing, and a suite of cloud products — including eRegulatory, eConsent, eSource/EDC, CTMS and study design tools — plus an AI-powered operational intelligence engine (Braid) to streamline trial start-up, enrollment, and operations. Advarra serves sponsors, CROs, research sites, and institutions with a focus on patient protection, regulatory compliance, and accelerating trial outcomes.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

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