The application window is expected to close on: 11/03/2026 Meet the Team
The Edge Processor Team serves as the foundational engine of the Splunk Integrated Data Platform, architecting and maintaining high-throughput pipelines that process petabytes of data on the customer’s edge environment. Our work sits at the critical intersection of Cisco and Splunk integration, providing the mission-critical infrastructure that powers real-time observability and security for our global enterprise customers. We are a high-performing, collaborative organization that prioritizes clean code, rigorous testing, and pragmatic architectural decision-making. Operating in a hybrid/remote environment, we foster a culture where technical excellence and continuous learning are the standards. This role offers a unique opportunity to solve complex distributed systems challenges at a scale unmatched in the industry.
Your Impact
Leading the end-to-end delivery of complex projects that span the timeline of multiple months, including the complete software development cycle: Understand requirements, writing system design documents, develop, test, automate and deploy software
Set technical vision for the team, including improving the process, providing coding and design guidelines to set a high engineering standard
Identify and resolve pre-production system bottlenecks and production issues
Engage in design and code reviews of the product, and enhance your knowledge of customers’ experiences to prevent future problems
Make code maintainable and the product diagnosable and serviceable
Participate in rotating on-call duties to diagnose and solve customer issues.
Minimum Qualifications
Bachelor’s Degree in Computer Science, Computer Engineering, or a related technical field and 7+ years of experience in backend software development, with a focus on large-scale distributed systems or Master's Degree with 4+ years of related experience
Experience with Go or C++ programming language, and working with concurrency models and memory management
Experience architecting, deploying, and scaling high-volume data processing pipelines systems
Experience with high-performance data paths in streaming ingestion systems like Kafka, Pulsar, Spark, Elastic. Including analyzing network traffic, protocol behavior, and diagnostic data to resolve throughput, latency, and reliability issues.
Preferred Qualifications
Familiarity and experience with observability platform using Open Telemetry.
Infrastructure experience with Kubernetes and on-premise deployments.
Ability to influence technical strategy and align stakeholders across multiple teams and organizational levels.
Demonstrated success in leading complex engineering roadmaps from initial conception through to production.
A strong track record of mentoring senior engineers and fostering a culture of high-performance and technical excellence.
Advanced ability to communicate complex architectural concepts and trade-offs to both technical and non-technical stakeholders.
A demonstrated passion for driving innovation and maintaining expertise in state-of-the-art distributed systems and data platform technologies.
Pourquoi Cisco?
Chez Cisco, nous révolutionnons la façon dont les données et les infrastructures se connectent et protègent les entreprises à l’ère de l’intelligence artificielle et au-delà. Nous innovons sans crainte de manquer quelque chose depuis 40 ans pour créer des solutions qui optimisent la collaboration entre les humains et la technologie dans les mondes physiques et numériques. Ces solutions offrent aux clients une sécurité, une visibilité et des analyses inégalées sur l’ensemble de l’empreinte numérique.
Alimentés par la profondeur et l’étendue de notre technologie, nous expérimenterons et créons des solutions significatives. Ajoutez à cela notre réseau mondial de personnes fonceuses et d’experts, et vous verrez que les possibilités de grandir et de bâtir sont illimitées. Nous travaillons en équipe, en collaborant…