Software Engineer

The application window is expected to close on: 07/30/2026 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.

Lead medium-sized features and end-to-end projects through scoping, design, delegation, implementation, review, rollout, and production validation; contribute evidence and technical judgment to the defined roadmap.   Lead the design of versioned APIs and service capabilities for graph, key-value, and related structured-storage services, covering authentication, routing, placement, policy, caching, and database lifecycle operations;   identify   opportunities for related services to create greater customer value.   Remain hands-on in Go and adjacent technologies, resolve complicated errors,   identify   larger-scope risks through code and design reviews, and contribute to feature threat modeling.   Coordinate estimates, specifications, milestones, dependencies, and remediation plans across product, SRE, platform, security, support, and engineering partners.   Use product adoption, reliability, scalability, security, performance, and cost signals to guide design tradeoffs and continuously improve customer outcomes.   Act as an escalation point for production issues, lead cross-functional monitoring and recovery improvements, and lead postmortems, root-cause analysis, and durable corrective actions.   Mentor peers and junior engineers through reviews, documentation, and technical guidance;   identify   and recommend improvements to   software-development   and operational practices.   M inimum   Qualifications   Bachelor's degree and 7+ years of related   experience   OR master's   degree   and 4+ years of related   experience   OR   PhD   and 1+   year   of related experience.     5 years of experience developing production backend services and versioned APIs in Go, C++, or another systems programming language.   5 years of experience designing and operating production database-backed services using at least one graph, relational, or NoSQL database, including schema evolution, transaction handling, backup or recovery, or performance tuning.   5 years of experience designing production distributed systems involving consistency, replication, partitioning, routing, or failure recovery.   5 years of experience delivering and   operating   containerized services through CI/CD on Kubernetes in a public-cloud or on-premises environment.

If you meet the core qualifications but not every preferred item, we still encourage you to apply.   Deep Neo4j Enterprise 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, schema evolution, tuning,