Senior Software Engineer

DocuSign DocuSign · Enterprise · San Francisco, CA · IT Infrastructure & Operations

Senior Software Engineer role focused on architecting and building robust technology solutions for Finance processes and related systems at DocuSign. The role involves developing next-generation agentic solutions, integrating AI frameworks like LLMs and RAG, and leveraging AI tools for code management. It requires full-stack development experience, integration skills, and a strong understanding of enterprise AI deployment models.

What you'd actually do

  1. Design, develop and build robust enterprise application solutions using modern full-stack technologies, and develop next-generation agentic solutions
  2. Ensure application high availability and reliability by implementing robust error handling and alerting frameworks
  3. Adhere to and enforce strict coding standards and best practices to ensure code quality and system security
  4. Utilize and manage CI/CD pipelines for seamless, automated code deployments across various environments
  5. 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

Skills

Required

  • 8+ years of software engineering experience
  • full-stack development using Java, JavaScript/TypeScript, and modern frontend frameworks like React
  • Python and modern frameworks (Django, FastAPI)
  • web service technologies (REST, SOAP, JSON/XML), modern API practices, and designing high-performance integrations
  • AI frameworks, ML Ops, RAG architectures, LLMs, Agentic AI, and enterprise AI deployment models
  • SQL and cloud-native technologies (Docker, Kubernetes) and CI/CD pipelines
  • cloud service providers and their native services—including AWS, Azure, and Oracle OCI
  • Agile environments (Scrum) using Jira and Confluence

Nice to have

  • OIC (Oracle Integration Cloud), VBCS, APEX, Groovy, PL/SQL, and Oracle Fusion Cloud APIs
  • General understanding of Quote-to-Cash business processes
  • cloud services from major public cloud platforms (AWS, Azure, Google Cloud, Oracle OCI)

What the JD emphasized

  • architecting and delivering complex, large-scale commercial applications or platform services
  • Experience in AI frameworks, ML Ops, RAG architectures, LLMs, Agentic AI, and enterprise AI deployment models for internal and external platforms
  • Develop prototypes and execute Proof of Concepts including creating sophisticated design agents utilizing cutting-edge AI frameworks such as LLMs and RAG, MLOps, Python

Other signals

  • Develop prototypes and execute Proof of Concepts including creating sophisticated design agents utilizing cutting-edge AI frameworks such as LLMs and RAG, MLOps, Python
  • Experience in AI frameworks, ML Ops, RAG architectures, LLMs, Agentic AI, and enterprise AI deployment models for internal and external platforms
  • Leverage AI tools, such as GitHub Co-Copilot, to actively manage and reduce code complexity, redundancies, and inefficiencies