Okay, I've searched for Senior Software Engineer positions in California requiring 6+ years of experience, with Java and Go skills, focused on large-scale backend systems, offering full-time roles. I have found 134 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Software Engineer role at Splunk is fundamentally about shaping and advancing the heart of the company's observability data platform, specifically through building a highly scalable, reliable, and performant data ingestion pipeline. This role demands deep expertise in designing large-scale distributed systems capable of processing billions of data points per minute, reflecting the critical importance of observability tools in modern, complex software environments. The candidate is expected not only to write high-quality code but to lead the technical design processes, mentor junior engineers, and collaborate cross-functionally with product owners and designers to align engineering efforts with customer needs and business priorities. Experience with streaming data technologies like Kafka or Flink and proficiency in Java or Go signal the need for proficiency with real-time data challenges. Furthermore, the need for operational ownership, including on-call rotations and post-incident reviews, implies a culture that values reliability and proactive maintenance. Success in this role means delivering impactful, customer-centric features on time, maintaining system stability at extremely large scale, and driving innovation in observability tooling to empower engineering teams worldwide.

Company Analysis:

Splunk operates as a technologically advanced, innovation-driven company focused on security and observability, vital aspects of today’s digital infrastructure. Positioned as a leader in delivering unified platforms that help organizations anticipate and manage disruptions, Splunk's market stance is that of a trusted, high-performance partner for enterprises prioritizing resilience and insight. The company culture is rooted in collaboration, passion for the product, and mutual success, indicating an environment that values driven, team-oriented individuals who enjoy fast-paced yet supportive settings. Given Splunk's focus on groundbreaking observability tools and integration into the broader Cisco ecosystem, engineers are likely expected to maintain both technical excellence and adaptability to evolving cloud-native and distributed systems paradigms. The Senior Software Engineer is a key contributor within a small, agile team, expected to engage cross-functionally and influence product direction while demonstrating leadership without necessarily formal management duties. This role closely aligns with Splunk's strategic emphasis on scaling and evolving its observability platform, making it a critical hire for the company’s future growth and innovation roadmap.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you led the development of a complex backend feature under a tight deadline. How did you ensure quality and timely delivery?
• Behavioral: Describe an instance where you mentored a junior engineer. What approach did you take to support their growth effectively?
• Behavioral: Share a situation where you had to resolve a critical incident in a distributed system. How did you handle the pressure and what did you learn?
• Behavioral: Give an example of when you influenced product direction or feature design. How did you collaborate with product managers and designers?
• Technical: How would you design a scalable data processing pipeline capable of handling billions of events per minute? What technologies and architectural patterns would you consider?
• Technical: Describe your experience with Kafka and/or Flink. How have you used these technologies to solve streaming data challenges in previous roles?
• Technical: Explain how you ensure operational readiness and reliability of a backend service that must run 24/7 at scale.
• Technical: What are the advantages and challenges of deploying services on Kubernetes in cloud environments like AWS or GCP?
• Situational: Imagine you discover a performance bottleneck in the ingestion pipeline just before a major release. What steps would you take to diagnose and address it?
• Situational: You identify conflicting priorities between your engineering team and product management on a critical feature. How would you navigate this challenge?
• Situational: Suppose a junior engineer on your team introduces a bug that causes data loss in production. How do you manage the situation technically and from a leadership perspective?
• Company Fit: Why are you interested in working at Splunk specifically, especially within the Observability Data Platform team?
• Company Fit: How do you see your skills and values aligning with Splunk’s mission to build a resilient digital world through observability and security?
• Company Fit: Splunk emphasizes fun and mutual success as key cultural pillars. How do you foster collaboration and positivity in your engineering teams?
• Questions for Interviewer: Can you describe how the Ingest Processing team measures success and what metrics are most critical?
• Questions for Interviewer: How does Splunk encourage continuous learning and innovation within the engineering teams?
• Questions for Interviewer: What are the immediate technical challenges the Observability Data Platform organization is facing, and how can someone in this role make the biggest impact quickly?