Meet the Team
Splunk’s Lakehouse team builds federated analytics capabilities that help customers search and analyze data wherever it resides. Our work extends the Splunk data platform to connect with data lakes and turn distributed data into actionable insights. We are a collaborative, engineering- and product-focused team working across distributed systems, query processing, and cloud services. Join us to tackle challenging data processing problems, shape technical solutions, and deliver capabilities that customers rely on to answer real-world questions.
Your Impact
Lead the delivery of features from technical design through implementation, release, and ongoing operation to extend Splunk’s federated query and data lake capabilities. Design and build secure, high-performance distributed systems, contribute to feature threat modeling, and improve code quality through automated testing and thorough code reviews. Analyze and optimize query performance, troubleshoot complex production issues, and lead root cause analysis to improve reliability and the customer experience. Coordinate with engineering and product partners across teams to refine requirements, evaluate solutions through prototypes, manage delivery milestones and risks, and contribute to the product roadmap. Mentor engineers and improve development practices through technical guidance, clear documentation, and knowledge sharing.
Minimum Qualifications
- Bachelor’s degree with 7+ years of related professional experience, master’s degree with 4+ years of related professional experience, or PhD with 1+ year of related professional experience.
- Experience developing production backend software in Java or Scala using object-oriented or functional programming practices.
- Experience designing distributed systems for large-scale data processing, including data transformation, query processing, or query optimization.
- Experience delivering software features across technical design, implementation, testing, release, and production support.
- Experience writing automated tests, reviewing code, and using version control and continuous integration pipelines.
Preferred Qualifications
- Experience with Apache Spark, Databricks, or similar technologies for processing large volumes of data.
- Experience with query engine internals, such as query planning, execution strategies, indexing, or query optimization.
- Experience applying algorithms and data structures to diagnose and improve query execution performance.
- Experience coordinating technical delivery across teams, communicating tradeoffs, and mentoring engineers.
- Experience leading production incident investigations, postmortems, and reliability improvements.
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.
Skills Required
- Bachelor's degree with 7+ years of related professional experience, master's degree with 4+ years, or PhD with 1+ year
- Production backend software development experience in Java or Scala using object-oriented or functional programming
- Experience designing distributed systems for large-scale data processing, including data transformation, query processing, or query optimization
- Experience delivering software features through technical design, implementation, testing, release, and production support
- Experience writing automated tests, reviewing code, and using version control and continuous integration pipelines
- Experience with Apache Spark, Databricks, or similar large-scale data processing technologies
- Experience with query engine internals, including query planning, execution strategies, indexing, or query optimization
- Experience applying algorithms and data structures to improve query execution performance
- Experience coordinating technical delivery across teams, communicating tradeoffs, and mentoring engineers
- Experience leading production incident investigations, postmortems, and reliability improvements
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
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Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
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Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
