Software Engineer, Structured Storage

About this role

The application window is expected to close on: 07/31/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received .

Meet the Team

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.  

Your Impact   • 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 issues, periodically   participate   in the team's on-call rotation, and when   appropriate   lead postmortems, root-cause analysis, and corrective actions.  

• Coordinate project specifications and timelines, keep stakeholders informed, surface risks early, and develop practical remediation options when delivery changes.  

• Share knowledge through documentation, reviews, and technical discussions; mentor peers or interns and help strengthen engineering practices across the team.  

M inimum   Qualifications  

• Bachelor's degree and 5+ years of related   experience   OR master's   degree   and 3+ years of related   experience   OR PhD.  

• 3 years experience developing production backend services and versioned APIs in Go, C++, or another systems programming language.  

• 3 years experience with at least one production graph, relational, or NoSQL database, including data modeling, queries, schema or data migrations, transactions, or performance tuning.  

• 3 years experience deploying containerized services through CI/CD to Kubernetes or a comparable orchestration platform.  

• 3 years experience diagnosing production issues with logs, metrics, or traces and   participating   in on-call or incident   response .  

Preferred Qualifications  

If you meet the core qualifications but not every preferred item, we still encourage you to apply.  

• Experience building or   operating   distributed services in production, including failure handling, scalability, or recovery.  

• Neo4j and Cypher experience, including graph modeling, clustering, topology, Bolt or Query API usage, database provisioning, page cache, and transaction metrics.  

• PostgreSQL, Amazon Aurora, or RDS experience involving connection security, IAM authentication, migrations, tuning, backup, and restore.  

• Experience with Helm, Kubernetes controllers or Operators, GitLab CI/CD, Terraform, Puppet, or similar delivery and configuration tooling.  

• Experience operating services across one or more public clouds and on-premises environments, including service mesh, network policy, workload identity, or Vault integrations.  

• Knowledge of database internals, storage engines, query planning, indexes, transaction logs, concurrency control, or large-scale performance testing.  

Why Cisco?  At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.  We are Cisco, and our power starts with you. 

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $128,600.00 to $184,900.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insura

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