Meet the Team
Splunk’s Lakehouse team builds 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 bring an engineering- and product-focused approach to solving problems, working closely with product partners and engineers across teams. Join a collaborative team where you can shape technical solutions, share your expertise, and see your work help customers answer real-world questions.
Your Impact
Own the delivery of features, from technical design through implementation and release, to extend Splunk’s federated query and data lake capabilities. Build secure, maintainable distributed systems with automated tests and technical documentation to support reliable, high-performance data processing. Investigate and resolve complex issues during development and in production, using root cause analysis to improve reliability and the customer experience. Collaborate with engineering and product partners to refine requirements, evaluate ideas through prototypes, and communicate delivery progress and technical tradeoffs. Strengthen engineering practices through code reviews, knowledge sharing, and mentoring colleagues while contributing ideas to the product roadmap.
Minimum Qualifications
- Bachelor’s degree in Computer Science, a related STEM field, or a related discipline with 5+ years of related professional experience; master’s degree in one of these fields with 3+ years of related professional experience; or a PhD in one of these fields with no prior professional experience required.
- Experience developing backend software in Java or Scala.
- Experience designing and implementing distributed systems using object-oriented or functional programming practices.
- Experience developing or deploying applications on AWS or Azure and using infrastructure as code tools such as Terraform, CloudFormation, or ARM templates.
- Experience writing automated tests and working with version control and CI/CD pipelines.
Preferred Qualifications
- Experience with Apache Spark, Databricks, or similar technologies for processing large volumes of data.
- Knowledge of database or query engine internals, such as query planning, execution strategies, indexing, or query optimization.
- Experience deploying and operating services using container orchestration platforms.
- Experience troubleshooting production services, conducting root cause analysis, and implementing reliability improvements.
- Experience mentoring engineers, providing code review feedback, and communicating technical decisions across teams.
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 in Computer Science, a related STEM field, or a related discipline with 5+ years of related professional experience; alternatively, a master's degree with 3+ years of experience or a PhD with no prior professional experience required.
- Experience developing backend software in Java or Scala.
- Experience designing and implementing distributed systems using object-oriented or functional programming practices.
- Experience developing or deploying applications on AWS or Azure.
- Experience using infrastructure as code tools such as Terraform, CloudFormation, or ARM templates.
- Experience writing automated tests and working with version control and CI/CD pipelines.
- Experience with Apache Spark, Databricks, or similar technologies for processing large volumes of data.
- Knowledge of database or query engine internals, including query planning, execution strategies, indexing, or query optimization.
- Experience deploying and operating services using container orchestration platforms.
- Experience troubleshooting production services, conducting root cause analysis, and implementing reliability improvements.
- Experience mentoring engineers, providing code review feedback, and communicating technical decisions across teams.
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.
