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
We’re looking for passionate and talented engineers to build out the machine learning platform and infrastructure that will power Docusign’s Agreement Cloud. You will help support all aspects of the machine learning lifecycle, including the research platform, training and deployment systems, and scalable serving infrastructure. Our team is responsible for building a platform that supports an international 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 Foundations Machine Learning team at Docusign, which builds analytics products that utilize AI, machine learning, and cutting-edge CV/NLP deep learning based models to provide insights for the Docusign Agreement Cloud. Our team is distributed across the Bay Area, Seattle, and Europe and you will be working collaboratively across these teams.
As a Lead Front End Software Engineer for the Docusign AI team, you are responsible for architecting and building foundational platforms of our next gen agreement analytics products and services that enable analytics & decision making throughout the entire Docusign business. You will lead our efforts with a particular focus on the related back-end development while still taking on front-end tasks. You will have proven technical ability and influence across multiple product areas as you work at the most senior levels of Docusign and regularly participate in various design and engineering reviews, demonstrating your domain area expertise.
This position is an individual contributor role reporting to the Senior Director of Engineering.
Responsibility
- Lead and oversee development of multiple minor to major technologies and associated project teams
- Ensure timely and high quality deliverables across multiple engineering projects and teams
- Lead architectural designs, discussions and decisions
- Identify complex algorithms and risks, helping drive the design of the implementation to resolve the issues across multiple features
- Influence the direction and work of a significant portion of software engineering
- Create high quality, user focused experiences with React or Node
- Help build and design the new Micro Frontend (MFE) infrastructure
- Coach and mentor engineers
- Develop and maintain automated tests for your code
- Participate in an Agile environment using Scrum software development practices, automated unit testing, CI/CD, code reviews, and version control systems (GIT)
- Raise issues proactively that might impact delivery commitments
- Be available to diagnose and resolve production-impacting issues and maintain the code as needed
- Focus on writing high quality code that is easy to maintain and read by others
What you bring
Basic
- 12+ years of related experience with a Bachelor’s degree; or 8+ years related experience with a Master’s degree; or a PhD with 6+ years experience; or equivalent experience
- Experience building SPA and monorepo or micro frontends architecture
- Experience with React, Emotion, TypeScript, Webpack, Jest, Playwright
- Experience with JavaScript and TypeScript and can debug memory and performance issues
- Experience with creating accessible web apps
- Experience coding and design in Javascript, React, Typescript, CSS, ServiceWorkers, Lighthouse
- Experience in agile methodologies
- Experience with Docker or other containerization technologies
Preferred
- Working knowledge of user authentication and authorization
- Proficiency in building REST, GRPC, GraphQL APIs
- Experience leading distributed teams including offshore
- Product development experience building large scale web applications
- Experience designing and developing highly scalable consumer facing web applications
- Passionate about creating an inclusive and accessible user experience
- Experience with internationalization and localization
- Knowledge of micro service architectures
- Experience with JVM Based Languages (Java, Kotlin) or other modern programming languages
- Experience with Jenkins / Azure DevOps
- Practical experience with any Cloud technologies: Kubernetes, AWS, Azure etc.