Software Engineer

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).

We’re looking for passionate and talented Software Engineers to build out the machine learning platform and infrastructure that will power Docusign’s IAM. You will help support all aspects of the machine learning lifecycle, specifically areas like data storage, annotation, training systems, and telemetry infrastructure. Our team is responsible for building a platform that supports a team of machine learning engineers and data scientists and can serve AI solutions to Docusign at scale. This role will be a part of the AI platform team at Docusign, which builds analytics products that utilize AI, machine learning, and cutting-edge deep learning based models to provide insights for the Docusign IAM. Our team is distributed across the San Francisco/Bay Area, Seattle, Ireland and India and you will be working collaboratively across these teams. This position is an individual contributor role reporting to the Senior Manager, Software Engineering - AI Platform.

Design, implement, and maintain backend and platform services that power Docusign’s AI and Insight capabilities for Intelligent Agreement Management (IAM) Build and enhance components across the machine learning lifecycle, including data ingestion and storage, feature/label pipelines, annotation tooling, training workflows, and model serving infrastructure Develop reliable, secure, and scalable RESTful services and APIs that expose AI-powered insights and analytics to internal product teams and customer-facing applications Contribute to service observability by adding metrics, logging, dashboards, and alerts while participating in incident triage and root cause analysis to improve system reliability Apply cutting-edge AI tools to write clean, well-tested code, participating in code reviews, following team engineering best practices for design, testing, and deployment, and continuously adapting to new technologies Collaborate closely with machine learning engineers, data scientists, and other backend teams to translate requirements into robust platform and product features Work as part of a distributed team across time zones, communicating clearly and documenting decisions to ensure alignment and smooth handoffs Learn and adopt new technologies continuously in AI platforms, data systems, and backend engineering to improve performance, reliability, and developer experience Demonstrate strong curiosity about emerging AI capabilities and industry trends, proactively exploring how they can be applied to our platform and products Challenge the status quo by questioning existing designs and processes and proposing innovative, AI-driven solutions that improve developer experience and customer value Look for opportunities to apply AI thoughtfully in every phase of development—from design and implementation to testing, deployment, and operations—to deliver better outcomes for our customers 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