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Solutions Architect - Splunk

Posted One Month Ago
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In-Office
Sydney, New South Wales, AUS
Senior level
In-Office
Sydney, New South Wales, AUS
Senior level
Designs sizing architecture, frameworks, rules, and tooling that map Splunk customer workloads to infrastructure. Responsibilities include developing diagnostic tools, supporting capacity and instance certification work, troubleshooting distributed deployments across networking, operating systems, storage, and data pipelines, and assisting with high-visibility customer escalations. The role also participates in an on-call rotation and collaborates with globally distributed engineering and solutions architecture teams.
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Meet the Team

You'll join Splunk Cloud's Sizing, Architecture & Governance (SAG) team. We decide how customer workloads map to infrastructure: the sizing tools the field uses, certification and capacity work for new instance types, and the sizing logic behind new pricing models. The team spans tooling, SRE, and solutions architecture, with teammates in Australia, US and UK. 


Your Impact  

You'll help shape sizing architecture — the frameworks, rule-sets, and tooling that decide how customer workloads map to infrastructure. Get it right, and sizing problems never reach the customer. You'll sometimes support high-visibility escalations, but your real impact is upstream in solutions' architecture. 

Minimum Qualifications
  • Expertise in Splunk Search Processing Language (SPL) and Splunk platform architecture — indexing, search, distributed deployments 
  • Production-level proficiency in at least one programming/scripting language (Python preferred), enough to build and debug diagnostic tooling 
  • Working knowledge of networking, OS internals, and storage/data pipelines — enough to root-cause issues across infrastructure layers 
  • Strong written and verbal communication; comfortable explaining root cause and remediation to engineers and customers alike 
  • Able to join an on-call rotation covering customer escalations outside business hours 
  • Bachelor's + 5 years, or Master's/PhD + 2 year of related experience 

Preferred Qualifications
  • Experience with infrastructure capacity/sizing modeling or similar quantitative systems work 
  • Exposure to cloud infrastructure sizing — AWS/GCP/Azure instance types, storage tiering 
  • Experience on a distributed/async team spanning multiple time zones 
Why Cisco? 

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. 

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