1 day ago
Base Salary
$187k - $308k/yr
Responsibilities
- Define and drive the multi-quarter roadmap for storage, streaming, compute, and data-platform performance tooling.
- Lead data-plane architecture, including storage-engine selection, sharding, tenancy models, and control/data-plane boundaries.
- Establish standards for schemas, migrations, data retention, observability, SLOs, and multi-tenant isolation.
- Lead scalability, performance, capacity, cost-efficiency, quota, and rate-limit initiatives across data stores, pipelines, and worker fleets.
- Design and build load-testing, profiling, benchmarking, and other internal performance frameworks.
- Lead production investigations, systemic remediation, technology-selection decisions, and build-versus-buy analyses.
- Partner with engineering leadership and product teams to influence platform investment and technical direction.
- Mentor engineers and raise engineering standards through design reviews, documentation, and technical guidance.
Requirements
- Bachelor's degree with 8+ years of related experience, master's degree with 6+ years, or PhD with 3+ years in computer science, software engineering, or a related field.
- At least 6 years of experience building and/or operating data-intensive backend services or platforms.
- Technical leadership experience setting direction, driving multi-quarter initiatives, and influencing decisions beyond the immediate team.
- Experience designing, operating, or delivering highly scalable and reliable production-grade data-intensive platforms and distributed systems.
- Backend software engineering experience with Go, Java, Rust, C++, and/or Python.
- Experience with cloud-native technologies, Kubernetes, and public cloud platforms such as AWS or GCP.
- Preferred experience with performance engineering, profiling, benchmarking, load testing, capacity modeling, and FinOps.
- Preferred production experience with OLTP databases, analytical or columnar stores, streaming and queueing systems, distributed task frameworks, and data-processing compute.
- Preferred experience with ClickHouse or comparable columnar stores, multi-tenant isolation, data migrations, SLOs, disaster recovery, retention and deletion compliance, and observability instrumentation.
- Preferred experience with OpenTelemetry, Pyroscope, distributed worker orchestration, streaming databases, stream-processing frameworks, distributed query engines, model-serving infrastructure, and stateful systems across cloud/SaaS and air-gapped or on-premises deployments.
- Experience mentoring senior engineers and communicating performance, capacity, and cost recommendations to engineering leadership and product partners.
Benefits
- Hybrid work arrangement requiring on-site work Tuesdays and Thursdays; location-specific requirements apply in San Francisco, San Jose, and New York City.
- U.S. benefits include medical, dental, and vision insurance; a 401(k) with Cisco matching; paid parental leave; disability coverage; and basic life insurance.
- Eligible employees may receive Cisco restricted stock units and annual bonuses for non-sales roles.
- Paid holidays, floating holidays, birthday leave, year-end shutdown, wellness days, vacation or flexible time off, sick time, family emergency leave, and optional volunteer days are provided subject to eligibility and policy.
- The application window is expected to close on October 31, 2026.
Tech Stack
Apache FlinkApache KafkaAWSC++ClickHouseGoGoogle BigQueryGoogle Cloud PlatformJavaKubernetesMySQLPostgreSQLPrestoPythonRabbitMQRustSnowflake
Categories
BackendData Engineering
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.