What you'll do

At Docusign, documents are at the center of everything we do. The Document Management team owns how documents work across Docusign; how they are stored, processed, protected, and managed throughout their lifecycle, at global scale. We are hiring a Software Engineer in Seattle to help us take that on. This is a role for someone who wants hard, high-impact problems: Tier-0 services that many products depend on, large and growing data volumes, and the opportunity to shape how we bring AI-native approaches to documents. You will own ambiguous problems end to end and see your work make a difference quickly.

This position is an individual contributor role reporting to the Sr. Manager, Engineering.

Responsibility

• Design, build, and operate backend services that power documents at Docusign at global scale
• Own features end to end, design, implementation, deployment, and operations
• Contribute to the reliability, performance, and security of Tier-0 services that other teams depend on
• Apply AI-native development practices in how you build, and help build AI-powered capabilities on top of our documents
• Participate in design and code reviews with a focus on resilience and graceful failure, not just functionality
• Troubleshoot and resolve issues across environments, and improve alerting, dashboards, and operational runbooks
• Collaborate across teams and help raise the engineering bar

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience
• 5+ years of professional software engineering experience building and operating production backend services
• Experience developing microservices with C#
• Experience operating high-availability services where uptime, security, and correctness are non-negotiable
• Experience with large-scale, distributed systems
• Experience owning and solving complex problems end-to-end

Preferred

• Experience operating Tier-0 or mission-critical services at large, global scale
• AI-native development experience - using AI tools in your day-to-day workflow and/or building AI-powered product features
• Experience with cloud platforms (Azure), microservices, and REST API design
• Experience with high data volumes, storage systems, or content/document processing
• Experience with observability tooling, CI/CD pipelines, and on-call operations

Wage Transparency

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations:

Washington: $146,400.00 - $206,775.00 base salary

This role is also eligible for the following:

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).

Global benefits provide options for the following:

• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

#LI-Hybrid