Senior Software Engineer at Splunk
London W2, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

09 Oct, 25

Salary

0.0

Posted On

10 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aws, Service Providers, Distributed Systems, Continuous Improvement, Design, C++, System Software

Industry

Information Technology/IT

Description

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. Splunk is a company filled with people who are passionate about our products and strive to provide the best experience for our customers. We’re committed to our work, customers, having fun, and most meaningfully to each other’s success.
We are seeking a passionate engineer to join our group, Data Platform. Our team designs distributed systems to collect and analyze high volumes of machine-generated data at scale. We are proud of owning what we build even after it’s deployed to production. We ensure code hygiene, use open source libraries, employ continuous integration and delivery, and have a strong belief in automated testing at multiple levels (unit, integration, system). We are uniquely positioned as a globally distributed team with team members in a variety of locations.

REQUIREMENTS:

  • Develop and debug client-server system software written in C++ and/or Golang
  • Experience in distributed systems and large scale environments deployed at scale, both “on-premise” and in “cloud”.
  • Experience with Linux deployments hosted by cloud service providers such as AWS and GCP.
  • Excellent problem solving, collaboration and communication skills, both verbal and written.
  • Mentored junior engineers in their development skills via code reviews and design discussions.
  • Owned features or sub-systems end-to-end from design to deployment and continuous improvement..
Responsibilities
  • Develop server-side applications for data collection, indexing, clustering and other distributed systems.
  • Build robust, fault-tolerant distributed systems in a multi-threaded, multi-process environment.
  • Analyze, identify and resolve the bottlenecks of distributed systems, data pipeline, multi-threaded coherency and other complicated scenarios.
  • Analyze and improve the scalability of data collection, storage and retrieval.
  • Interact cross-functionally with other partners such as PMs, SREs, Devops, and support engineers.
  • Participate in rotating on-call duties to diagnose and fix customer issues.
Loading...