Principal Software Engineer

🕒 June 23

🇺🇸 United States – Remote

💵 $177k - $284k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Workiva

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Workiva is a cloud-based, AI-powered platform that unifies financial reporting, risk and compliance management, and sustainability reporting. It enables teams to connect data across systems, collaborate in real time, automate reporting (including XBRL tagging), and maintain auditability and traceability for regulated disclosures and assurance processes. Workiva serves large enterprises and finance, legal, audit, and sustainability teams to accelerate reporting, improve accuracy, and reduce risk.

📋 Description

• Deliver outcomes • Partner with engineering teams to co-deliver complex work across platform modernization, product evolution, and new product bets. • Adapt your technical approach, planning style, and delivery strategy to match the needs of the work. • Use AI-native development methods to build automation, validation, and engineering harnesses that improve speed, quality, and leverage. • Define and drive technical strategy • Lead technical strategy across large, multi-team initiatives with long-term impact. • Define and evolve system boundaries across complex domains, with a focus on clean interfaces and scalability. • Identify and remove bottlenecks in performance, data flow, reliability, and architecture. • Lead exploration, prototyping, and validation for ambiguous technical problems. • Partner with cross-functional peers on disaster recovery planning, testing, and optimization. • Design AI-driven systems • Design systems that enable autonomous or semi-autonomous engineering workflows. • Build context-aware infrastructure that connects code, documentation, and systems to AI tooling. • Develop guardrails such as validation layers, static analysis, and automation hooks to ensure safe and reliable AI-assisted development. • Improve how AI is used across the organization for both effectiveness and efficiency. • Influence and lead • Raise the technical bar by helping teams think bigger and execute better. • Mentor and challenge Staff+ engineers to expand their scope, judgment, and impact. • Partner with engineering and product leadership to align technical decisions with business outcomes. • Create durable artifacts such as runbooks, decision logs, and tests that can be handed off and evolved by others. • Contribute across product domains, bringing context from one area to solve problems in another.

🎯 Requirements

• 8+ years of experience building and scaling complex software systems. • Bachelor’s degree in Computer Science, Information Security, or a related field; or 6+ years and a Master’s degree; or a PhD with 4+ years of experience; or equivalent practical experience • Demonstrated experience using AI as a primary development collaborator, with a strong quality bar for AI-generated output. • Proven success leading large, cross-pillar technical initiatives. • Track record of working effectively across platform modernization, iterative product development, and greenfield delivery. • Strong architectural judgment across distributed systems, APIs, and platform design • Ability to operate as a force multiplier for other engineers. • Experience improving engineering testing standards through approaches such as TDD, BDD, load testing, stress testing, chaos testing, invariant testing, or mutation testing. • Experience building infrastructure that improves engineering velocity and quality at scale. • Strong background in distributed systems and platform architecture. • Experience inferring behavioral specifications from existing systems through code, tests, logs, and subject-matter experts. • Ability to deliver production-quality outcomes in a small, time-boxed team setting. • Strong written communication skills and a habit of creating durable, useful artifacts. • A leadership style that empowers others rather than creating dependency.

🏖️ Benefits

• A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match and comprehensive employee benefits package