Software Engineer Intern - Observability; Platform

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).

The Observability Engineering team within Cloud & Production Engineering builds and operates the platforms that provide real-time visibility into the health, performance, and reliability of Docusign services. As a Software Engineer Intern - Observability (Platform), you will help build and scale telemetry pipelines that process high volumes of metrics, logs, and traces. You will also contribute to the services that move this data reliably through the observability platform.

You will collaborate with engineers across infrastructure and product teams to improve how operational data is collected, processed, and exposed so teams can monitor, troubleshoot, and optimize their systems ing the internship, you will work with a mentor and teammates to deliver and demonstrate a scoped 12-week project focused on telemetry pipelines, platform scale, or service reliability.

This is an internship role for 4.5 months of duration.

This position is an individual contributor role reporting to the Manager, Software Engineering.

Responsibility

• Contribute to observability data pipelines that ingest, process, and route metrics, logs, and traces from production services
• Build and enhance backend services using Golang, Java, or Python to move telemetry reliably and efficiently at scale
• Work with Kubernetes-based services running in Azure and Google Cloud Platform (GCP) to improve service health visibility and reliability
• Develop and refine dashboards, alerts, and service-level objective (SLO) and service-level agreement (SLA) views using Prometheus, Grafana, Open Telemetry, and Click House
• Help improve the scalability, performance, and resiliency of observability platform components, including streaming pipelines, storage layers, and query paths
• Collaborate with a mentor and engineering teammates to plan, implement, test, document, and demo a scoped 12-week internship project
• Participate in software design discussions, code reviews, testing, troubleshooting, and technical documentation

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 designation 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.

Basic

• Currently enrolled in a bachelor's degree program in Computer Science, Computer Engineering, or a related technical field
• Expected graduation between December 2027 and May or June 2028
• Experience with at least one general-purpose programming language, such as Golang, Java, or Python
• Experience with data structures, algorithms, and software engineering principles
• Ability to work from the Seattle, Washington hub in a hybrid arrangement, typically one to two days per week in the office, during the 12-week internship

Preferred

• Interest in distributed systems, data pipelines, telemetry, or observability
• Coursework, project, or internship experience involving distributed systems, backend services, cloud platforms, Kubernetes, or data pipelines
• Familiarity with metrics, logs, traces, or telemetry standards and tools such as Prometheus, Grafana, Open Telemetry, or Click House
• Experience with Azure or GCP
• Understanding of reliability concepts such as monitoring, alerting, SLOS, SLAs, performance, and resiliency
• Strong collaboration, communication, problem-solving, and learning skills

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and…