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Senior Software Engineer, Sales

Docusign
San Francisco, United Statesfull_timeVerifiedPosted 31 Mar 2026
💰 $225,075/yr($140,000/yr$225,075/yr)

About the 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 Senior Software Engineer, Sales will design, develop, and implement Application, Data, and Integration Engineering solutions that run our internal business, as well as evaluate existing components or systems to determine integration requirements and to ensure final solutions meet organizational needs. This role requires deep Salesforce and AI/ML knowledge, integration experience and sound judgment in order to effectively plan and deliver. The successful candidate will own multiple Business Application Projects and will be required to lead or direct the work of others. A wide degree of creativity and latitude is expected! Docusign is growing at an extraordinary pace across all vectors, providing an enormous opportunity for professional growth in this position.

 

This position is an individual contributor role reporting to the Director, GTM Engineering.

 

Responsibility

  • Explore and integrate hyperautomation technologies including AI/ML, intelligent document processing, and process mining

  • Lead experimentation for new automation capabilities and platforms

  • Lead system design and architecture decisions, including defining service boundaries, integration patterns, and data flow across distributed systems

  • Design and develop backend services and domain logic layers within the Salesforce and other adjacent GTM platforms, treating Apex as a server-side programming environment for enterprise application development

  • Lead end-to-end delivery of complex, cross-functional projects, ensuring strong technical design, execution rigor, and timely outcomes without compromising engineering quality

  • Break down large initiatives into well-defined technical milestones, proactively identifying risks, dependencies, and architectural trade-offs

  • Provide critical support coverage during month-end and quarter-end business cycles

  • Architect and implement API-first and event-driven integrations across distributed systems (e.g., Salesforce, AWS services, internal platforms) using REST, Platform Events, and middleware

  • Design and build enterprise-grade, code-driven applications using Lightning Web Components and/or Angular or React with a strong emphasis on scalable frontend layer and service orchestration

  • Design systems to support high-volume, enterprise-scale workloads, including bulk processing, asynchronous patterns, and large data volumes

  • Serve as the primary technical escalation point for complex platform decisions across Sales systems

  • Own the end-to-end software development lifecycle, including design, development, testing, CI/CD automation, deployment strategies, and production support

  • Own and evolve CI/CD pipelines, including build automation, test orchestration, release governance, and deployment tooling using GitHub Actions and Salesforce CLI

  • Develop and maintain reusable frameworks, shared services, and platform utilities to standardize engineering practices and improve developer productivity

  • Lead performance optimization and scalability initiatives, including bulkification, asynchronous processing strategies, and system throughput improvements

  • Implement observability and reliability patterns, including structured logging, monitoring (e.g., Datadog), alerting, and proactive incident detection and resolution

  • Drive technical debt remediation and platform hardening, including refactoring legacy code, improving test coverage, and enforcing engineering standards

  • Partner with product and engineering teams to define and deliver scalable system capabilities and services

  • Own production system health, including incident response, root cause analysis, and continuous reliability improvements

  • Contribute to AI-enabled and agent-driven workflows by integrating external AI services (LLMs, ML APIs) into Salesforce workflows

  • Mentor engineers and conduct rigorous code reviews, enforcing software engineering best practices, design patterns, and coding standards

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Company

Docusign

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