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 systems, with a strong focus on mentoring engineers and optimizing performance across complex, distributed environments. Proficient in establishing best practices and guiding technology decisions while ensuring operational excellence and security.

Highest-signal resume keywords

Technical Strategy DevelopmentArchitecture Design for Distributed SystemsMentoring Senior EngineersCloud-Native Application DesignObservability Practices Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaRails.NETAPIsCloud PlatformsDatabasesData ArchitectureAutomated TestingCI/CD

Soft Skills

LeadershipCollaborationInfluencing Best PracticesProblem SolvingMentoring

Tools & Technologies

AWSLoggingMonitoringTracingAlerting

Industry Keywords

HealthcareLife SciencesHIPAAFDAClinical Trial Processes

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 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

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 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

Benefits

Comp & perks

Variable bonus eligibility
Health coverage
Paid holidays