Senior Edge Systems Architect — Real-Time Data Platform

Cisco Systems, Inc.; Seattle (WA); Híbrido; USD 192 000 - 276 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

401(k) matching

Parental leave

Disability insurance

Life insurance

Restricted Stock Units

Resumo da oferta

Cisco Systems, Inc. is seeking an experienced senior software leader to drive end-to-end delivery of multi-month projects at scale.

You will define coding standards, guide design decisions, and ensure high-performance, low-latency data processing across cloud-native and on-prem environments. In this hybrid/remote role, you will help optimize large distributed systems, mentor teams, and participate in on-call rotations to maintain service reliability and customer satisfaction for enterprise

Qualificações

• 12+ years of software development experience, with a lead or architect role.
• Experience designing, shipping, and supporting high-performance, low-latency data processing components.
• Experience shipping cloud-native and on-premises software using GoLang, C, or C++.
• Experience designing large-scale distributed systems with emphasis on reliability and scalability.
• Experience with data paths in streaming ingestion systems (Kafka, Pulsar, Spark, Elastic) on Linux/Unix.

Responsabilidades

• Lead end-to-end delivery of sophisticated projects spanning multiple months.
• Set technical vision with coding guidelines and design standards to ensure high-quality products.
• Identify and resolve system bottlenecks; participate in deep-dive design and reviews.
• Engage in rotating on-call duties to diagnose and solve complex customer issues and ensure reliability.

Conhecimentos

GoLang

C

C++

Distributed systems

Linux/Unix

Kafka

Pulsar

Spark

Elastic

Ferramentas

Linux

Descrição da oferta de emprego

Cisco Systems, Inc. is seeking an experienced senior software leader to drive end-to-end delivery of multi-month projects at scale.

You will define coding standards, guide design decisions, and ensure high-performance, low-latency data processing across cloud-native and on-prem environments. In this hybrid/remote role, you will help optimize large distributed systems, mentor teams, and participate in on-call rotations to maintain service reliability and customer satisfaction for enterprise