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Advarra

Staff Software Engineer

Advarra

. Drive technical strategy and architecture within one or more product lines .

Posted 10/27/2026full-timeRemote • United StatesLead💰 $143,559 - $277,713 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in driving technical strategy and architecture for scalable and reliable systems, with a strong focus on mentoring engineers and optimizing performance across complex, distributed environments. Proficient in designing data pipelines and implementing observability practices to enhance operational excellence.

Highest-signal resume keywords
Technical Strategy DevelopmentArchitecture Design for Distributed SystemsMentoring Senior EngineersCloud Deployment on AWSData Pipeline Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonJavaRails.NETAPIsCloud PlatformsDatabasesData ArchitectureAutomated TestingContinuous Integration
Soft Skills
Verbal CommunicationListeningAttention to Detail
Tools & Technologies
AWSLoggingMonitoringTracingAlerting
Industry Keywords
HealthcareLife SciencesClinical Trial ProcessesMedical InformaticsRegulated Industries

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsJavaPythonRuby on Rails.NET

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

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