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 As a Software Engineer, Sales within Docusign's Applications Engineering Team, you will design, build, and scale enterprise-grade applications on the Salesforce,React,AWS and C# platform. You will work across all GTM pillars—Sales, Success, Partner to deliver secure, resilient, and intelligent business solutions. This role combines deep Salesforce and Backend technical expertise with an AI-first mindset, helping shape the next generation of agentic and autonomous workflows within Docusign. This position is an individual contributor role reporting to the Sr Manager, GTM Engineering. Responsibility Develop experimentation for new automation capabilities and platforms 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 Provide hands-on coding/ technical support during US PDT hours including month end and quarter ends Develop and implement API-first and event-driven integrations across distributed systems (e.g., Salesforce, AWS services, internal platforms) using REST, Platform Events, and middleware Build enterprise-grade, code-driven applications using Lightning Web Components, Angular and 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 Develop and maintain reusable frameworks, shared services, and platform utilities to standardize engineering practices and improve developer productivity 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 Contribute to AI-enabled and agent-driven workflows by integrating Salesforce with external AI services and automation platforms 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, Engineering, or related discipline 2+ years of hands-on Salesforce development experience (Apex, LWC/LWR, APIs), strong SQL knowledge, and exposure to AI/ML integrations Strong integration experience using REST/SOAP, Platform Events, or middleware (MuleSoft) Proven expertise in performance optimization, scalability planning, and platform health assessments Experience with Service Cloud and/or Experience Cloud (Communities) Familiarity with Salesforce DevOps using GitHub, SFDX, and CI/CD pipelines Salesforce Platform Engineer I (PD1) certification Excellent communication and collaboration skills across global teams Preferred Experience supporting large-scale orgs (1000+ users) with strong governance and deployment controls Hands-on experience with modern Salesforce frameworks (LWC, Flow Orchestration, API-led connectivity) Proven experience integrating Salesforce with AI, LLMs, or agentic frameworks Familiarity with security hardening, data masking, and vulnerability analysis Experience with Apex testing frameworks (ApexMocks, Jest) or static analysis tools (Salesforce Code Analyzer) Contributions to internal accelerators, reusable libraries, or governance tools Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-SA4
Software Engineer, Sales
DocuSign · Enterprise · Bangalore, India · IT Infrastructure & Operations
Software Engineer, Sales role focused on designing, building, and scaling enterprise-grade applications on the Salesforce platform with an AI-first mindset. The role involves developing backend services, integrations, and agentic workflows, and contributing to AI-enabled capabilities by integrating Salesforce with external AI services.
What you'd actually do
- Develop experimentation for new automation capabilities and platforms
- 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
- Provide hands-on coding/ technical support during US PDT hours including month end and quarter ends
- Develop and implement API-first and event-driven integrations across distributed systems (e.g., Salesforce, AWS services, internal platforms) using REST, Platform Events, and middleware
- Build enterprise-grade, code-driven applications using Lightning Web Components, Angular and React with a strong emphasis on scalable frontend layer and service orchestration
Skills
Required
- Salesforce development (Apex, LWC/LWR, APIs)
- SQL knowledge
- AI/ML integrations
- Integration experience using REST/SOAP, Platform Events, or middleware (MuleSoft)
- Performance optimization
- Scalability planning
- Platform health assessments
- Service Cloud and/or Experience Cloud (Communities) familiarity
- Salesforce DevOps using GitHub, SFDX, and CI/CD pipelines
Nice to have
- Experience supporting large-scale orgs (1000+ users) with strong governance and deployment controls
- Modern Salesforce frameworks (LWC, Flow Orchestration, API-led connectivity)
- Integrating Salesforce with AI, LLMs, or agentic frameworks
- Security hardening
- Data masking
- Vulnerability analysis
- Apex testing frameworks (ApexMocks, Jest)
- Static analysis tools (Salesforce Code Analyzer)
- Contributions to internal accelerators, reusable libraries, or governance tools
What the JD emphasized
- AI/ML integrations
- integrating Salesforce with AI, LLMs, or agentic frameworks
Other signals
- AI-first mindset
- agentic and autonomous workflows
- integrating Salesforce with external AI services and automation platforms
- AI-enabled and agent-driven workflows