Senior Software Engineer - Finance Technology

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 the Senior Software Engineer - Finance Technology, your role will be to architect, develop and build robust technology solutions that scale the Finance processes, and related systems. This involves close collaboration with teams across Business Transformation, Application Engineering, Application Product Management, Docusign Product, Data, and Integration teams.

This position is an individual contributor role reporting to the Director, Application Engineering - Finance.

Responsibility

• Design, Develop and Build robust enterprise application solutions using modern full-stack technologies, and develop next-generation agentic solutions
• Ensure application high availability and reliability by implementing robust error handling and alerting frameworks
• Adhere to and enforce strict coding standards and best practices to ensure code quality and system security
• Utilize and manage CI/CD pipelines for seamless, automated code deployments across various environments
• Architect and implement seamless integrations using integration platforms like OIC within the Quote-to-Cash functional domain, leveraging data from Oracle Fusion and Salesforce to facilitate end-to-end subscription flows
• Optimize API performance focusing on response time, reliability, scalability, and resource efficiency
• Leverage AI tools, such as GitHub Co-Pilot, to actively manage and reduce code complexity, redundancies, and inefficiencies
• Collaborate closely with various stakeholders, including Product Managers, Enterprise Architects, Technical Leads, and business users, to gather requirements and design scalable systems
• Develop prototypes and execute Proof of Concepts including creating sophisticated design agents utilizing cutting-edge AI frameworks such as LLMs and RAG, MLOps, Python
• Drive root cause analysis and implement long-term solutions for production issues to ensure system reliability and performance
• Take ownership of software deliverables, ensuring high standards in quality, security, scalability, performance, and maintainability

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 or a STEM field with 8+ years of software engineering experience architecting and delivering complex, large-scale commercial applications or platform services
• Advanced proficiency in full-stack development using Java, JavaScript/TypeScript, and modern frontend frameworks like React
• Hands-on experience in OIC (Oracle Integration Cloud), VBCS, APEX, Groovy, PL/SQL, and Oracle Fusion Cloud APIs
• Hands-on proficiency with Python and modern frameworks (Django, FastAPI) for backend services and automation
• Expert-level command of web service technologies (REST, SOAP, JSON/XML), modern API practices, and designing high-performance integrations
• Experience in AI frameworks, ML Ops, RAG architectures, LLMs, Agentic AI, and enterprise AI deployment models for internal and external platforms.deployment models for internal and external platforms
• Strong technical command of SQL and familiarity with cloud-native technologies (Docker, Kubernetes) and CI/CD pipelines
• Leverage cloud service providers and their native services—including AWS, Azure, and Or…