Software Engineer Intern - Observability (Platform)
Job details
- Work mode
- Hybrid
- Employment
- Internship
- Level
- Internship
- Education
- Bachelor's degree
- Posted
- Oct 12, 2026
- Last confirmed open
- Oct 13, 2026
About this role
Public source summary from intern-list.com / Jobright.
Docusign provides intelligent agreement management and e-signature solutions that help organizations create, commit to, and manage agreements. The Software Engineer Intern will support the Observability Engineering team by building and scaling telemetry pipelines and backend services that improve the visibility, reliability, and performance of production systems.
Responsibilities
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, OpenTelemetry, and ClickHouse 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
Qualifications: 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 Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship 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, OpenTelemetry, or ClickHouse 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
Benefits: Hybrid work arrangement: employee divides their time between in-office and remote work, with a minimum of 2 days per week in the office Work with a mentor and teammates during the internship Scoped 12-week internship project focused on telemetry pipelines, platform scale, or service reliability