Senior Backend Software Engineer (Pipeline Infrastructure) at Splunk
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Jul, 25

Salary

0.0

Posted On

08 Apr, 25

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Infrastructure, Consideration, Communication Skills, C++, Python, Splunk, Code, Distributed Systems, Scheduling, Large Scale Deployments, Pipeline, Deployment Strategies, Argo, Continuous Delivery, Jenkins, Gitlab, Java, Load, Color, Azure, Artifactory

Industry

Information Technology/IT

Description

Splunk, a Cisco company, is here to build a safer and more resilient digital world. The world’s leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it’s our people that make Splunk stand out as an amazing career destination and why we’ve won so many awards as a best place to work. If you become a Splunker, we want your whole, authentic self, what we call your “million data points”. So bring your work experience, problem-solving skills, and talent, of course, but also bring your joy, your passion, and all the things that make you, you.

MUST-HAVE QUALIFICATIONS

  • 7+ years of related experience with a technical Bachelor’s or Master’s degree; or equivalent practical experience.
  • Experience developing software using Golang, C++, Java, or Python.
  • Solid hands-on cloud infrastructure experience on public cloud platforms specifically AWS, Azure, or GCP.
  • Knowledge of microservices fundamentals including Service Mesh using Istio, service discovery, deployment strategies, monitoring, scheduling, and load balancing.
  • Experience with Infrastructure-as-Code using Terraform and/or Helm
  • Proven experience crafting and building scalable software, with expertise in cloud environments and knowledge of continuous delivery, and security practices
  • Excellent problem-solving, triaging, and debugging skills in large-scale distributed systems
  • Strong communication skills, both verbal and written.
  • Eagerness to learn and adapt in a dynamic environment with multiple ongoing projects.

NICE-TO-HAVE QUALIFICATIONS

  • Experience in solving problems of load, scale, and optimizations of sophisticated large-scale deployments
  • Knowledge of Puppet and configuration management practices.
  • Experience with CI/CD frameworks and Pipeline-as-Code such as Jenkins, Spinnaker, Gitlab, Argo, Artifactory, etc.
  • Familiarity with test-driven development, writing various levels of automated tests, such as unit tests, functional tests, integration tests, system tests, or performance/load test
    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.
    Note:
Responsibilities

ROLE:

The Pipeline Infrastructure team is a core part of Splunk’s Indexing and Storage organization, responsible for building and maintaining critical components that power data ingestion, processing, and indexing workflows. We focus on designing robust, fault-tolerant distributed systems to efficiently manage massive volumes of data. Our modern tech stack includes Golang, C++, PostgreSQL, Terraform, and Kubernetes, and we operate across major cloud providers such as AWS, Azure, and GCP—handling petabytes of data for thousands of customers. The work we do directly impacts the reliability, scalability, and performance of Splunk’s cloud platform. Join a dynamic environment where innovation meets scale, and your contributions drive meaningful customer outcomes.

WHAT YOU’LL GET TO DO:

  • Design, build, and maintain robust, fault-tolerant distributed systems in a multi-threaded/multi-process environment.
  • Analyze and improve the scalability, availability, and performance of Splunk’s indexing service and underlying infrastructure.
  • Identify and resolve bottlenecks in distributed systems, data pipelines, and multi-threaded performance scenarios.
  • Define technical direction, author design documents, engage in hands-on implementation, and build consensus across teams for infrastructure components.
  • Automate infrastructure provisioning and deployment using Terraform and Kubernetes.
  • Develop tooling and automation to reduce manual effort, improve operational efficiency, and minimize human error.
  • Establish and maintain processes for continuous monitoring, alerting, and auditing of systems.
  • Drive development, delivery, and engineering hygiene practices within the team.
  • Work closely with an amazing team and collaborate with a global engineering organization.
  • Mentor junior engineers and help build domain expertise across the team.
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