Offer summary

Qualifications:

3–5 years of experience in software engineering, DevOps, SRE, or platform operations roles., Working knowledge of cloud-native infrastructure and distributed microservice architectures., Strong debugging skills and proficiency with command line tools., Familiarity with observability tools and experience building Splunk dashboards..

Key responsibilities:

Triage and resolve inbound quota and capacity requests for Observability customers.

Fine-tune backend configurations to match customer traffic patterns and platform load.

Monitor platform usage and ensure capacity is available for customer growth.

Collaborate with Engineering teams to identify and resolve critical performance or availability issues.

Job description

Description

About Us
Splunk Cloud Operations is where critical thinking meets real-world impact. Our teams operate at the heart of the Splunk Platform, ensuring stability, performance, and continuous improvement across a massive cloud ecosystem. We work at speed, across boundaries, and with purpose — solving sophisticated, large-scale problems that directly affect customers worldwide.

The Opportunity:
This isn’t your average support or SRE role. As an Observability Capacity Engineer, you’ll play a strategic role in ensuring Splunk’s Observability products scale effectively and serve customers reliably. You’ll operate at the intersection of systems engineering, platform operations, and tooling — making data-driven decisions to optimize how capacity is provisioned and how services run across a distributed architecture.

This is a high-impact role for an engineer who enjoys digging into infrastructure puzzles, building smarter systems, and acting as a connective force between Engineering, Support, and Product.

What You’ll Do

Triage and resolve inbound quota and capacity requests for Observability customers.
Fine-tune backend configurations to match customer traffic patterns and platform load.
Maintain stability and scalability of a shared, distributed infrastructure supporting hundreds of tenants.
Monitor platform usage and proactively ensure capacity is available for customer growth.
Collaborate with Engineering teams to identify and resolve critical performance or availability issues.
Define requirements and advocate for tooling improvements that reduce manual effort and speed up delivery.
Use your engineering mindset to drive continuous process and system optimization.
Support the broader Fulfillment Operations team through the construction and upkeep of business critical Splunk dashboards.

What You Bring

3–5 years of experience in software engineering, DevOps, SRE, or platform operations roles.
Working knowledge of cloud-native infrastructure, distributed microservice architectures, and CI/CD pipelines.
Strong debugging and systems thinking skills — you can connect symptoms to root causes across layers.
Proficiency with the command line; hands-on experience with Jira or similar systems.
Familiarity with observability tools (e.g., metrics, logging, tracing platforms).
Comfortable balancing tactical execution with strategic thinking — you enjoy both shipping and shaping.
Strong collaboration skills and the ability to partner effectively with engineering, support, and product teams.
Hands-on experience building and optimizing Splunk dashboards.
Bonus: Experience with entitlement systems or Salesforce is a plus.

Why Join Us

You’ll work on systems at scale with tangible customer impact.
You’ll gain deep exposure to observability tooling, platform architecture, and operational strategy.
You’ll influence how we build, automate, and evolve capacity workflows across the company.
You’ll be part of a team that values autonomy, critical thinking, and cross-functional collaboration.

Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Thank you for your interest in Splunk!

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