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NetDocuments

Staff Software Engineer

NetDocuments

. Lead the technical direction of a backend engineering team .

Posted 9/21/2026full-timeRemote • Utah • United StatesLead💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading backend engineering teams, architecting cloud-native systems, and implementing scalable, secure, and reliable solutions. Proficient in modern backend languages and technologies, with a strong focus on performance, observability, and AI integration.

Highest-signal resume keywords
Technical LeadershipCloud Native Backend SystemsEvent Driven ArchitectureC#/.NET DevelopmentObservability Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cloud Native ArchitectureDistributed Systems DesignBackend DevelopmentEvent Driven SystemsAsynchronous ProcessingAutomated TestingCI/CD PracticesData Pipeline ManagementPerformance OptimizationSecurity Compliance
Soft Skills
MentoringCollaborationTechnical DocumentationKnowledge SharingProblem Solving
Tools & Technologies
AWSECSLambdaSQSDynamoDBS3Logging ToolsTelemetry ToolsAI ToolsSearch Technologies
Industry Keywords
B2B SaaSLegal TechnologyRegulated EnvironmentsContent ServicesEnterprise Systems

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsDynamoDBJavaOpen SourcePythonGo.NET

About the role

Key responsibilities & impact
  • Lead the technical direction of a backend engineering team
  • Serve as a hands-on technical leader and define engineering standards
  • Lead architectural discussions and make technical decisions across services and distributed systems
  • Establish patterns for scalable, secure, reliable, and maintainable systems
  • Guide technology stack evolution as products mature and scale
  • Drive improvements in performance, reliability, cost efficiency, developer experience, and engineering quality
  • Architect and build production-grade, cloud-native backend services and APIs
  • Design event-driven, service-oriented systems and data pipelines resilient to load, retries, and partial failure
  • Build secure systems for processing, organizing, and surfacing large volumes of content, including search, retrieval, and AI capabilities
  • Integrate AI-powered services and emerging technologies
  • Design for security, permissions, governance, compliance, and data protection
  • Instrument services with logging, metrics, distributed tracing, and telemetry
  • Improve throughput, latency, scalability, and cost
  • Design for idempotency, ordering, deduplication, rate limiting, and safe reprocessing
  • Own complex technical initiatives from design through deployment and ongoing operation
  • Evaluate architectural tradeoffs across performance, cost, security, scalability, and maintainability
  • Create technical documentation, architecture diagrams, system designs, and technical decisions
  • Partner with Product, Design, Platform Services, engineering leadership, and other engineering teams
  • Mentor engineers and raise technical capabilities and engineering practices
  • Lead knowledge sharing through code reviews, design discussions, documentation, and hands-on guidance
  • Research and validate emerging technologies through proofs of concept
  • Identify opportunities to improve customer experience and engineering velocity
  • Leverage modern development and AI tooling to increase engineering effectiveness

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • 8+ years of professional software engineering experience delivering production grade systems at scale
  • 3+ years providing technical leadership and influencing engineering direction and practices
  • Deep experience designing and operating distributed, cloud native backend systems, ideally on AWS (services such as ECS, Lambda, SQS, DynamoDB, and S3)
  • Strong experience with event driven and service oriented architectures, including asynchronous processing, queueing, idempotency, and handling failure and retries
  • Proven ability to build systems that are performant, reliable, and cost effective at high volume
  • Strong backend development experience in a modern backend language; C#/.NET is the preferred stack, with Python, Java, or Go also valued
  • Experience implementing observability in production: logging, metrics, distributed tracing, and telemetry
  • Working familiarity with modern AI and its application in production software
  • Experience with automated testing, CI/CD practices, and operating production services
  • Experience building search, retrieval, or other data intensive systems at scale is a differentiator
  • Familiarity with semantic or vector search, embeddings, and retrieval augmented generation is a differentiator
  • Experience operating high throughput data or processing pipelines is a differentiator
  • Experience building document management, content services, or enterprise systems is a differentiator
  • Experience integrating AI or agent facing services into production applications is a differentiator
  • Experience building B2B SaaS in legal or other regulated, security sensitive environments is a differentiator
  • Contributions to open source, technical writing, or sharing technical expertise are a differentiator

Benefits

Comp & perks
  • 90% healthcare premiums company covered
  • HSA company contribution
  • 401K match at 4% with immediate vesting
  • Flexible PTO (typically 3 to 4 weeks a year)
  • 10 paid holidays
  • Monthly contributions for life activities & wellness
  • Access to LinkedIn Learning with monthly dedicated time to explore
  • Connection, access, and mentorship from exceptional leaders
  • Growing company with opportunities for advancement
  • Authenticity and accountability from leadership