Cisco

Senior Software Engineer (Java/Scala), Lakehouse Team - Splunk

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SeniorHybryda·KrakówFull-time

#462167·Dodano 12 dni temu·30

Źródło: Cisco

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Tech Stack / Keywords

Java Scala Apache Spark Databricksdistributed systemsquery processingdata transformationquery optimizationdata lakes

Podsumowanie oferty

The Lakehouse team builds federated analytics capabilities that connect the Splunk data platform with data lakes. You’ll lead delivery of features for federated queries and data lakes, building secure, high-performance distributed systems with Java or Scala.

Wymagania

Bachelor’s degree with 7+ years of related professional experience, master’s degree with 4+ years, or PhD with 1+ year.
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.

Obowiązki

Lead feature delivery from technical design through implementation, release, and ongoing operation for 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 code reviews.
Analyze and optimize query performance, troubleshoot complex production issues, and lead root cause analysis to improve reliability and 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, documentation, and knowledge sharing.

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