Software Engineer, Structured Storage

Company: Cisco

Location: Research Triangle Park, NC (Remote)

Salary: $126,500 - $252,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-07-23

About this role

The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.


Role Summary

Splunk, a Cisco company, helps organizations build digital resilience across security and observability. The Structured Store team builds and maintains critical data-storage infrastructure and services that power core Splunk workflows and applications. We help shape the future of structured storage at Splunk through reusable architectures, service APIs, and design patterns that set standards for how these systems are scaled, optimized, operated, and extended.

Our engineers own the full service lifecycle, from design and implementation through deployment, observability, on-call response, and continuous improvement. The team's portfolio spans graph, key-value, and related structured-storage services running on premises and across AWS, Azure, and GCP.

In this role, you will remain hands-on while leading end-to-end projects and medium-sized features, coordinating delivery across product, SRE, security, support, and engineering partners, and contributing to the team's defined roadmap.

What You'll Get to Do

  • Design, implement, test, and operate well-scoped projects and small-to-medium features within the team's defined structured-storage roadmap.
  • Develop versioned APIs and service components for graph, key-value, and related structured-storage services, covering authentication, routing, placement, policy, caching, and database lifecycle operations; contribute actively to design and code reviews.
  • Own delivery from source to production by using CI/CD, secure container images, Kubernetes configuration, database migrations, rollout validation, and rollback plans.
  • Improve reliability, scalability, security, performance, and cost efficiency using metrics, traces, logs, profiles, load tests, and customer or product-success signals.
  • Troubleshoot complex production iss...

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