Software Engineer, Software Architect, Cloud Engineer - Software

The application window is expected to close on: 09/17/2026

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received
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The Ingest Processor Team serves as the foundational engine of the Splunk Integrated Data Platform, architecting and maintaining high-throughput pipelines that process petabytes of data. 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.

Define and drive the long-term technical strategy for our ingestion pipelines to ensure industry-leading performance, elasticity, and scalability. Lead the design and implementation of mission-critical distributed systems, directly influencing the reliability and performance of the entire Splunk platform. Partner with product and platform leadership to bridge the gap between complex engineering initiatives and evolving business requirements. Elevate the engineering organization by establishing best-in-class standards for system design, code quality, and operational excellence.

Champion the adoption of emerging technologies to solve large-scale data challenges, ensuring our infrastructure remains at the forefront of the industry.

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.

• 7+ years of professional experience in backend software development, with a primary focus on large-scale distributed systems.

• Expert-level proficiency in Go or Java, including a deep, practical understanding of concurrency models and memory management.

• Experience architecting, deploying, and scaling high-volume data processing pipelines systems

• Experience with cloud-native infrastructure, including Kubernetes, microservices architecture, and distributed storage systems.

• Exceptional ability to influence technical strategy and align stakeholders across multiple teams and organizational levels.

• Demonstrated success in leading complex, multi-year 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.

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are…