Lead Software Engineer - Observability Infrastructure Monitoring at Splunk
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Aug, 25

Salary

0.0

Posted On

06 May, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Technical Direction, Communication Skills, Java, Disabilities, Aws, Consideration, Python, Kubernetes, Architecture, Computer Science, Computer Engineering, Microservices, Scalability, Openshift, Distributed Systems, Splunk, Relational Databases, Color, Reliability

Industry

Information Technology/IT

Description

LEAD SOFTWARE ENGINEER - OBSERVABILITY INFRASTRUCTURE MONITORING

Join us as we pursue our exciting new vision to make machine data accessible, usable, and valuable to everyone. We are a company filled with people passionate about our product and seeking to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
As applications and systems become more sophisticated and user experience is at high stake, observability - the ability to monitor and understand the systems and how they impact users, becomes one of the biggest challenges for engineering teams. We are building world-class tools to help engineers deliver better, faster, and more reliable applications.

REQUIREMENTS

  • Proven track record of architecting, designing, and delivering complex, large-scale backend systems.
  • Expertise in Golang for backend development; experience with Python or Java is a plus.
  • Strong hands-on experience with OpenTelemetry, Prometheus, and Grafana for observability and monitoring in distributed environments.
  • Deep understanding of microservices architecture and distributed systems, ensuring scalability, performance, and reliability.
  • Experience developing cloud native applications in Kubernetes, or Openshift, Server clusters in distributed environments in AWS, GCP clouds or on-prem clusters.
  • Rich experience with 1 or more relational databases & NoSQL databases
  • Knowledge and experience leveraging AI technologies is a BIG plus and desirable.
  • Knowledge and experience using observability tools would be an advantage.
  • Ability to drive architectural decisions, set technical direction, and mentor engineers, fostering a culture of excellence and innovation.
  • Strong communication skills, both verbal and written.
  • Bachelor’s degree in Computer Science, Computer Engineering or related majors; approximately 8-10 years of relevant and proven experience
    We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
    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

ABOUT THE ROLE

Splunk is looking for hardworking and creative full stack Software Engineers to join our Splunk Observability team who will work on systems that empower our customers to quickly detect and resolve their infrastructure and application issues.
You will be a key contributor and lead for the user facing web application for Splunk Observability Infrastructure Monitoring. Splunk’s Observability Suite is a leader in the Gartner Magic Quadrant and Infrastructure Monitoring is one of the most used and popular products in this suite.

RESPONSIBILITIES

  • Operates as a lead engineer, independently executes tasks as determined and owns the outcomes.
  • Own and organize processes for the team such as sprint planning, retrospectives, backlog refinements, program increment (PI) planning, and more.
  • Understand the business direction and is able to promote innovative ideas and acquire alignment with multi-functional teams; can influence PM on features, product direction and priority.
  • Collaboratively lead design discussions under technical purview, ensuring both functional & non-functional requirements (like scale, security, operability, usability, etc) are considered
  • Lead the development new product features, clarify and improve designs, help put together a plan for how to make it happen; participate in code review
  • Build relationships with cross-area teams to effectively understand dependencies, gain alignments and set up collaborations
  • Grow senior engineers through design & code review, tech seminars, mentoring, pair-programming, etc.
  • Take actions to improve the team’s engineering and operational practices
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