Overview: The Ingest Processor Team is the foundational engine of the Splunk Integrated Data Platform, building high-throughput pipelines that process petabytes of data daily and support real-time observability and security for global enterprise customers. We are a collaborative, high-performing group that values clean code, rigorous testing, and pragmatic architectural decision-making. The team offers a supportive hybrid/remote environment with opportunities to tackle distributed-systems challenges at scale.

Your Impact: - Architect scalable backend services using Go or Java to process data pipelines with minimal latency and maximum reliability. - Optimize existing ingestion pipelines to improve throughput and reduce operational overhead, ensuring low latency and high availability for 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 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.

Overview: The Ingest Processor Team is the foundational engine of the Splunk Integrated Data Platform, building high-throughput pipelines that process petabytes of data daily and support real-time observability and security for global enterprise customers. We are a collaborative, high-performing group that values clean code, rigorous testing, and pragmatic architectural decision-making. The team offers a supportive hybrid/remote environment with opportunities to tackle distributed-systems challenges at scale.

Your Impact: - Architect scalable backend services using Go or Java to process data pipelines with minimal latency and maximum reliability. - Optimize existing ingestion pipelines to improve throughput and reduce operational overhead, ensuring low latency and high availability for 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 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.