
Principal Software Engineer
Workiva · United States
- Hybrid
- Full-time
- $284,000 / year
- United States
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Job highlights
- Lead AI-driven engineering on a complex enterprise platform.
- Define and drive technical strategy for multi-team initiatives.
- Design systems for autonomous engineering workflows.
- Influence and mentor Staff+ engineers and teams.
- Build and scale complex software systems for large organizations.
About the role
About Workiva
At Workiva, we build and scale an enterprise platform that powers complex financial reporting, compliance, and collaboration for some of the world’s largest organizations. We solve for high-throughput data, strict consistency, and architectural scale while exploring what AI can do to transform how engineering teams work. We are not simply adding AI to existing workflows. We are redesigning how engineering gets done. That means building systems, practices, and products where AI is a real collaborator in development, testing, validation, and platform evolution.Job Summary
We are hiring a Principal Software Engineer who can operate across multiple modes of work: platform modernization, iterative product development, and high-ambition greenfield exploration. This is a hands-on role for someone who can define strategy, deliver complex systems, and raise the technical bar for the teams around them.What You’ll Do
- 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.
What You'll Need
- Minimum Qualifications: 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.
- Preferred Qualifications: 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.
How You’ll Be Rewarded
- Salary range in the US: $177,000.00 - $284,000.00
- A discretionary bonus typically paid annually
- Restricted Stock Units granted at time of hire
- 401(k) match and comprehensive employee benefits package
The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.
Why Join Workiva
Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation—ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world. At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.Equal Opportunity and Accommodation
Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.Key skills/competency
- Principal Software Engineer
- AI Development
- Platform Modernization
- Technical Strategy
- System Design
- Distributed Systems
- Scalability
- Software Architecture
- Engineering Leadership
- Mentorship
Skills & topics
- Principal Software Engineer
- Software Engineering
- AI Development
- Platform Modernization
- Technical Strategy
- System Design
- Distributed Systems
- Scalability
- Software Architecture
- Engineering Leadership
- Mentorship
- Enterprise Platform
- Financial Reporting
- Compliance
- Collaboration
- High-Throughput Data
- Strict Consistency
- Architectural Scale
- AI Engineering
- Greenfield Development
- Product Development
- Automation
- Validation
- Engineering Harnesses
- Disaster Recovery
- APIs
- TDD
- BDD
- Load Testing
- Chaos Testing
- Invariant Testing
- Mutation Testing
- Engineering Velocity
- Code Analysis
- Test Generation
- Software Testing
- Cloud Computing
- SaaS
- FinTech
How to get hired
- Tailor your resume: Highlight experience with AI-native development, complex system scaling, and technical strategy leadership.
- Showcase AI collaboration: Emphasize demonstrated experience using AI as a primary development collaborator with a strong quality bar.
- Demonstrate leadership: Provide examples of leading large technical initiatives and mentoring other engineers.
- Prepare for technical discussions: Be ready to discuss distributed systems, platform architecture, and AI-driven system design.
- Understand Workiva's mission: Research how Workiva's AI-powered platform unifies finance, risk, and sustainability.
Technical preparation
Deeply understand AI-native development methods.,Prepare to design AI-driven autonomous workflows.,Study distributed systems and platform architecture.,Practice scaling complex software systems.
Behavioral questions
Describe a time you led technical strategy.,How do you mentor other engineers?,Share an experience designing complex systems.,How do you handle ambiguous technical problems?
Frequently asked questions
- What is the salary range for a Principal Software Engineer at Workiva?
- The salary range for a Principal Software Engineer at Workiva in the US is $177,000.00 to $284,000.00 annually. This range may vary based on location and other factors. Candidates will also be eligible for a discretionary bonus and Restricted Stock Units.
- What kind of AI experience is Workiva looking for in a Principal Software Engineer?
- Workiva is seeking candidates with demonstrated experience using AI as a primary development collaborator. This includes building AI-native development methods, designing AI-driven systems for autonomous workflows, and developing guardrails for AI-assisted development. A strong quality bar for AI-generated output is essential.
- What are the main responsibilities of a Principal Software Engineer at Workiva?
- The Principal Software Engineer will be responsible for delivering outcomes through AI-native methods, defining and driving technical strategy for large initiatives, designing AI-driven systems, and influencing/leading engineering teams. This role involves platform modernization, iterative product development, and greenfield exploration.
- Does Workiva offer remote work opportunities for a Principal Software Engineer?
- Yes, Workiva supports employees in working where they work best, either from an office or remotely from any location within their country of employment. This Principal Software Engineer role can be performed remotely.
- What is Workiva's approach to AI in engineering?
- Workiva is not just adding AI to existing workflows but is redesigning how engineering is done. They are building systems where AI acts as a collaborator in development, testing, validation, and platform evolution, aiming to transform engineering practices.
- What are the preferred qualifications for this Principal Software Engineer role at Workiva?
- Preferred qualifications include proven success leading large, cross-pillar technical initiatives, strong architectural judgment in distributed systems and APIs, experience improving engineering testing standards, and a leadership style that empowers others. Experience with inferring behavioral specifications from systems is also a plus.
- What benefits does Workiva offer its employees?
- Workiva offers a comprehensive benefits package, including a competitive salary, a discretionary annual bonus, Restricted Stock Units at hire, 401(k) match, and a full suite of employee benefits. They also provide robust security and privacy training.
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