Senior Software Engineer

Docusign • Seattle, WA

28d • Hybrid

About The Position

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). Docusign is seeking a Senior Software Engineer to architect the next generation of our Search & Data Platform. As part of the Intelligent Agreement Management (IAM) initiative, our team is transitioning customer-facing reporting and search capabilities to a modern, highly scalable cloud data platform. You will move beyond standard feature development to build the distributed infrastructure that allows millions of users to instantly discover, filter, and analyze their agreements. We are looking for a builder who loves Elasticsearch, distributed systems, and solving never-been-done-before problems at scale. You will work closely with product leaders from proof-of-concept to V1 release, ensuring our solutions are fault-tolerant, secure, and blazingly fast. This position is an individual contributor role reporting to the Sr. Manager, Machine Learning.

Requirements

• BS in Computer Science, Electrical Engineering, Informatics, or relevant fields
• 8+ years of software development experience in object-oriented languages (C#, Java, C++, or Go)
• 3+ years of experience with large-scale data systems and search engines (e.g., Elasticsearch, Solr)
• 3+ years of experience with distributed data processing frameworks (e.g., Apache Spark, Kafka)
• 2+ years of experience building services in public cloud environments (Azure, AWS, or GCP)

Nice To Haves

• Master’s degree in Computer Science or related field
• Experience with the Microsoft technology stack (.NET Core, C#, SQL Server)
• Direct involvement in the design and operation of high-availability SaaS platforms (99.9%+ uptime)
• Familiarity with modern frontend frameworks (React) to understand how customers consume search APIs
• Strong background in Agile/Scrum methodologies and CI/CD pipelines (Git, Jenkins, Azure DevOps)

Responsibilities

• Design and build fault-tolerant, high-throughput search systems using microservices architecture (primarily C#/.NET or Java)
• Lead the implementation and optimization of Elasticsearch clusters to ensure sub-second query performance across petabytes of data
• Develop and deploy scalable services in Azure or AWS, leveraging containerization (Docker/Kubernetes) and infrastructure-as-code
• Collaborate with Product Management to translate marketing requirements into technical designs, drive implementation, write ample test coverage (TDD), and oversee the release process
• Mentor junior engineers, conduct code reviews, and work with cross-site teams to drive engineering best practices
• Identify and resolve production issues, ensuring 99.99% availability for critical search services

Benefits

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).
• Global benefits provide options for the following:
• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level