Senior Software Engineer
DocuSign
- Location
- Seattle, Washington; San Francisco, California
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Salary
- $164.7k – $266k/yr
- H-1B history
- 71 approvals (FY2023)
Skills
About this role
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 a Senior Software Engineer on the Observability team, you will design, build, and operate the telemetry platforms that power how Docusign measures and understands the health of our systems. You will own core services and tooling for metrics, logging, tracing, dashboards, and AI-powered monitoring end to end—from technical design and implementation through rollout and ongoing operations. You will partner closely with SRE, product teams, and security to define standards for instrumentation and SLOs, improve signal quality, and enable teams across Docusign to detect, debug, and prevent production issues faster. This position is an individual contributor role reporting to the Manager, Software Engineering.
Responsibility
Design, build, and evolve observability platforms and services that provide reliable, self-service visibility into production systems for engineering teams Define and drive standards for instrumentation and telemetry across services, including conventions, libraries, and best practices that improve signal quality and reduce noise Partner with SRE and product engineering to define and implement SLOs, error budgets, and health indicators, and ensure they are wired into our observability stack Improve reliability, performance, scalability, and cost-efficiency of observability pipelines and storage, including capacity planning and resilience to failures Participate in on-call for observability services, lead or assist in incident response when telemetry is degraded or missing, and drive follow-up work that improves long-term system health Collaborate with internal customers to understand their debugging and monitoring needs and translate them into features and improvements on observability tools and platforms Stay current with the latest observability best practices and share your findings with the team Coach and mentor other team members on new technologies and observability best practices 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 8+ years of related industry experience with a Bachelor's degree or equivalent experience Experience in at least one modern backend language and ecosystem (for example: C#, Java, Go, or similar) Experience building and operating distributed systems Experience working with cloud systems (for example: AWS, Azure, or GCP) Experience participating in on-call, incident response, and root cause analysis for production systems Experience collaborating with cross-functional partners and influencing technical decisions beyond a single service Preferred Experience with observability systems such as Prometheus and Grafana Experience working with ClickHouse or similar high-volume analytical / columnar databases (for example: BigQuery, Snowflake, Redshift, Druid, or