Software Engineer
DocuSign
- Location
- Seattle, Washington
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Salary
- $111.9k – $162.3k/yr
- H-1B history
- 71 approvals (FY2023)
- Posted
- 1h ago
Skills
About this role
Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
What you'll do
The Unified Configuration Management team within Cloud and Production Engineering is mission-critical to Docusign's reliability and deployment speed. We architect and maintain internal platforms for progressive delivery, providing the infrastructure for feature flagging, experimentation, and configuration management. Our scope extends to Change Insights, where we develop advanced correlation models to pinpoint incident root causes within minutes. We empower engineering teams to release features with velocity and confidence while ensuring our customers benefit from granular feature control and system stability. This position is an individual contributor role reporting to the Engineering Manager, Unified Configuration Management.
Responsibility
Design, author, and audit technical designs for features and components. Own the end-to-end delivery of well-defined features by executing assignments independently with moderate guidance Develop and maintain high-quality, scalable back-end services. This includes building and scaling the robust services, component libraries, and maintaining Terraform modules and CI/CD pipelines for safe deployments across Azure and GCP Author and own comprehensive testing plans, writing high-quality, reliable tests (unit, component, E2E). Drive quality by demonstrating competence in debugging across multiple components, environments, and external dependencies to ensure features are testable, observable, and safe to roll out Implement and refine telemetry (metrics, logs, traces), dashboards, and Service Level Objectives (SLOs). Participate in on-call rotations, perform Root Cause Analysis (RCA) for issues, and use data to drive operational improvements and strengthen runbooks Work within the Agile framework, proactively identifying dependencies and critical paths, proposing mitigation plans, and collaborating with cross-functional partners to resolve blockers. Drive continuous improvement by developing efficiencies to scale processes and staying current with emerging technologies 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 or Master's in Computer Science, Software Engineering, or equivalent experience 3+ years of professional experience building back-end, platform, or reliability-focused services Experience with at least one modern programming language (C#, Java, or Go) Experience in distributed systems, data structures, and production reliability fundamentals Experience with web services, APIs (REST/gRPC), and working with JSON/structured data Experience with Git, complex CI/CD workflows, automated testing frameworks, and Agile practices Experience leveraging coding assistants (Claude, GitHub Copilot, etc.) for problem solving, debugging, profiling, and documentation Preferred