4 days ago
Base Salary
$187k - $268k/yr
Responsibilities
- Define and drive the multi-quarter roadmap for data-platform storage, streaming, compute, and measurement tooling.
- Lead architecture for storage engines, sharding, tenancy models, control/data-plane boundaries, schema standards, migrations, retention, and multi-tenant isolation.
- Define capacity models, SLOs, cost attribution, quotas, rate limits, and performance and cost-efficiency initiatives.
- Design and build load-testing, profiling, benchmarking, observability, and performance frameworks for other engineers.
- Lead scalability, performance, production-investigation, data-migration, and systemic-remediation initiatives across distributed data systems.
- Make and document technology-selection and build-versus-buy decisions with cost, risk, and migration analysis.
- Partner with engineering and product leadership, mentor engineers, and raise technical standards through reviews and documentation.
Requirements
- Bachelor’s degree with 8+ years of related experience, or 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 scalable, reliable, production-grade data-intensive platforms and distributed systems.
- Backend software engineering experience with one or more of Go, Java, Rust, C++, and Python.
- Experience with cloud-native technologies, Kubernetes, and public cloud platforms such as AWS or GCP.
- Preferred experience with performance engineering, OLTP and analytical databases, streaming or queueing systems, distributed workers, ClickHouse, FinOps, multi-tenant isolation, data migrations, SLOs, disaster recovery, observability instrumentation, performance tooling, task frameworks, stream processing, model-serving infrastructure, and cloud, SaaS, air-gapped, or on-premises deployments.
- Experience mentoring senior engineers and communicating performance, capacity, and cost recommendations to engineering and product leadership.
Benefits
- Hybrid work requiring Tuesdays and Thursdays on-site in San Francisco/San Jose or New York City, depending on location.
- Medical, dental, and vision insurance; 401(k) with Cisco matching contribution; paid parental leave; disability coverage; and basic life insurance.
- Potential eligibility for Cisco restricted stock units and annual bonuses for non-sales roles.
- Paid holidays, floating holiday, birthday leave, year-end shutdown, wellness days, vacation or flexible time off, sick time, family emergency leave, and optional paid volunteer days.
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.