Software Engineer

The application window is expected to close on: 08/07/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team The Ingest Processor Team serves as the foundational engine of the Splunk Integrated Data Platform, responsible for building and maintaining high-throughput pipelines that process petabytes of data daily. Our work sits at the heart of the Cisco and Splunk integration, providing the critical infrastructure that enables real-time observability and security for our global enterprise customers. We are a collaborative, high-performing group of engineers who value clean code, rigorous testing, and pragmatic architectural decision-making. We foster a supportive, hybrid/remote environment where technical excellence and continuous learning are the norms. Joining us is an opportunity to solve complex distributed systems challenges at a scale few other organizations can offer.

Architect scalable backend services using Go or Java to process data pipelines with minimal latency and maximum reliability. Optimize existing ingestion pipelines to improve system throughput and reduce operational overhead, ensuring low latency and availability for our production environments. Collaborate with cross-functional infrastructure and data engineering teams to define robust APIs and data schemas that support seamless platform integration. Mentor junior engineers through code reviews and technical design discussions to elevate the team’s overall engineering standards and foster professional growth. Lead the design of distributed systems to ensure our infrastructure remains resilient and capable of handling the evolving data needs of our global user base.

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field. 4+ years of professional experience in backend software development with a focus on distributed systems. Expert-level proficiency in at least one modern programming language: Go or Java. Experience building and scaling systems using high-volume data pipelines and streaming technologies. Experience with cloud-native architecture, including containerization via Docker and Kubernetes.

Strong communication skills with the ability to articulate complex architectural decisions to diverse stakeholders. Proven ability to provide technical leadership and mentorship to junior engineering team members. Experience in strategic technical planning and translating complex business requirements into actionable roadmaps. A proactive problem-solving mindset with a demonstrated ability to adapt to fast-paced, evolving environments. Proficiency in performance tuning and observability practices to maintain high-availability production systems. Why Cisco?  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 everywhere, our impact is everywhere.  We are Cisco, and our power starts with you.  Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $126,500.00 to $182,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive