Software Engineering Technical Leader, Splunk (Remote)

Cisco is revolutionizing how data and infrastructure connect and protect organizations in the AI era. The Software Engineering Technical Leader will support the development and delivery of innovative products within the Splunk Observability organization, ensuring coordination across design, development, and go-to-market teams to address evolving customer needs.

Responsibilities:

• You will be involved in the design, architecture, and development of new observability solutions for Splunk customers
• Focus on simplifying complex workflows and delivering user-centric designs, while maintaining secure coding practices, protecting user privacy, and providing seamless experiences for a growing and diverse customer base
• Drive product performance and scalability by leading architectural improvements, introducing innovative ideas, and delivering high-quality solutions in collaboration with multi-functional teams
• Mentor and guide junior engineers, fostering technical growth and supporting team success through knowledge sharing and hands-on leadership
• Oversee and ensure the quality of technical design documentation, influencing critical decisions and maintaining alignment across multiple projects and teams
• Proactively debug and resolve complex software issues in both development and production environments, directly impacting customer satisfaction and product reliability

Requirements:

• 10+ years of experience in software development, with a Bachelor's degree in Computer Science, Engineering, or a related field
• Experience in programming languages such as Golang, Java, or Scala, with strong problem-solving skills and attention to detail
• Experience designing or working with Data Lakehouse architectures, including hands-on experience with Iceberg, or Delta data formats
• Experience in big data technologies such as Spark, Kafka, and other distributed computing systems
• Experience designing, building, and operating large-scale systems using AWS technologies
• Proven ability to mentor junior engineers and influence technical decisions across teams, fostering collaboration and technical excellence
• Strong track record of architecting and delivering complex, large-scale data projects, with deep expertise in data infrastructure, distributed systems, and OLAP technologies such as Clickhouse, Pinot, or Druid
• Demonstrated success thriving in fast-paced, dynamic environments and consistently delivering results under tight timelines
• Experience with data modeling, data warehousing, and ETL processes, with contributions to open-source projects considered a bonus
• Master's degree in Computer Science, Engineering, or a related field