Staff Software Engineer

What You’ll Do

NetDocuments is seeking a Staff Software Engineer – Developer Experience to help shape how software is built and delivered across our engineering organization. As a member of our Developer Experience (DevX) team, you’ll build the tools, platforms, and workflows that remove friction between writing code and shipping high-quality software to production. This role is ideal for an experienced engineer who combines strong hands-on development skills with the ability to influence technical direction and drive improvements across multiple engineering teams. You’ll operate with a high degree of autonomy, treating engineers as your customers and identifying high-leverage opportunities to improve developer productivity, platform consistency, and engineering velocity. You’ll also play a key role in advancing AI-assisted development practices and creating scalable solutions that make our engineering organization more effective.

You will:

Developer Tooling & Platforms

Design, build, and maintain internal CLI tools, code generators, service scaffolding, and repository standards that create consistent development paths for engineers.

Own and optimize CI/CD pipelines using Azure DevOps, GitHub Actions, and related technologies.

Build and evolve internal developer portals and self-service capabilities, including service catalogs, environment provisioning, and secrets management.

Establish and improve reusable tooling and platform capabilities that can be adopted across engineering teams.

Measure developer experience through build times, deployment frequency, DORA metrics, and other engineering productivity signals to identify opportunities for improvement.

AI & Automation Enablement

Build tooling that integrates AI-assisted development into everyday engineering workflows, including coding assistants, MCP servers, and IDE integrations.

Develop automation that reduces engineering toil across code reviews, testing, documentation, dependency management, and environment setup.

Evaluate emerging AI developer technologies and build proof-of-concepts to determine opportunities for broader adoption.

Establish scalable patterns and practices that help engineering teams effectively leverage AI throughout the software development lifecycle.

Engineering Standards & Architecture

Define and evolve shared libraries, linting configurations, PR templates, branching strategies, and coding standards across the engineering organization.

Establish patterns and technical standards that improve consistency, maintainability, and developer productivity across teams.

Build and maintain technical documentation systems, including architecture decision records, repository standards, onboarding guides, and AI-ready development documentation.

Drive inner source practices that enable engineers to safely and effectively contribute across team and repository boundaries.

Ownership & Operational Excellence

Own developer-facing tools and platforms from architecture and implementation through deployment and ongoing operation.

Identify and resolve developer workflow issues, pipeline failures, tooling gaps, and build-system bottlenecks.

Instrument internal platforms with logging, monitoring, and telemetry to understand performance and reliability.

Reduce technical debt across shared engineering infrastructure, build systems, and developer tooling.

Gather feedback from engineers, prioritize high-impact opportunities, and iteratively improve the developer experience.

Technical Leadership & Collaboration

Serve as a technical leader for Developer Experience initiatives that span multiple engineering teams.

Partner with engineering teams to identify systemic pain points and design solutions that improve productivity at scale.

Collaborate closely with Platform Engineering, SRE, Security, and other technical teams on shared infrastructure and integration points.

Influence technical direction and drive adoption of developer tooling, standards, and engineering practices across the organization.

Share knowledge through documentation, technical guidance, training, and hands-on developer enablement.

Continuous Learning & Innovation

Stay current with emerging developer platforms, AI-assisted development technologies, and software engineering practices.

Evaluate new tools and technologies based on their ability to measurably improve developer productivity and software delivery.

Experiment with new approaches, validate their impact, and establish scalable patterns for broader engineering adoption.

What You’ll Need to Be Successful

Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

8+ years of professional software engineering experience, including significant experience with developer tooling, platform engineering, or build and release infrastructure.

Proven experience designing and building internal tools or platforms used by engineering teams.

Strong proficiency in one or more of Python, TypeScript/Node.js, C#/.NET, or Go, with the ability to work effectively across multiple technology stacks.

Strong experience designing, building, and optimizing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar technologies.

Experience developing CLI tools, automation, and scripting using technologies such as Bash, Python, or Node.js.

Experience with REST APIs, microservices architectures, and modern software delivery patterns.

Strong understanding of version control workflows, branching strategies, and monorepo and polyrepo architectures.

Experience implementing logging, monitoring, telemetry, and observability for production systems.

What Will Make You Stand Out

Experience building internal developer portals or service catalogs using Backstage or similar technologies.

Experience with AI-assisted development tools such as Claude Code, GitHub Copilot, MCP servers, or similar technologies.

Experience with infrastructure as code using Terraform, AWS CDK, or CloudFormation.

Experience building and operating solutions using AWS services such as ECS, S3, DynamoDB, SQS, and Lambda.

Experience using developer productivity metrics, DORA metrics, or developer satisfaction data to prioritize engineering investments.

Contributions to open-source developer tooling or experience driving inner source programs.

Experience building developer enablement programs, technical training, or engineering documentation systems.

Experience building B2B SaaS products in regulated industries.

Equal Opportunity