Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek 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!

Role

As the Software Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.Responsibilities

Design, develop, and maintain AI services in our AI platform that powers all our AI products.
Implement and optimize CI/CD pipelines for machine learning model deployment
Architect and manage cloud infrastructure using Infrastructure as Code principles
Collaborate with ML Engineers and Applied Scientists to build efficient model serving systems
Monitor system performance and implement improvements for scalability
Participate in code reviews and technical documentation
Troubleshoot production issues and implement solutions

Required Qualifications

US Citizenship
Bachelor's degree in Computer Science, Software Engineering, or related field
3+ years of experience in software development using languages such as Python and Golang
Strong experience with cloud platforms (AWS, GCP, or Azure)
Proficiency in containerization technologies (Docker, Kubernetes)
Experience with CI/CD tools (Jenkins, GitLab CI, or similar)
Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)
Understanding of RESTful APIs
Knowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databases
Knowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)
Experience with version control systems (Git) and collaborative development workflows

Preferred Qualifications

Experience with machine learning frameworks (TensorFlow, PyTorch)
Understanding of ML deployment patterns and model serving
Familiarity with MLOps practices and tools
Experience with automated testing and quality assurance
Knowledge of security best practices in cloud environments

Soft Skills

Strong problem-solving and analytical abilities
Excellent written and verbal communication
Ability to work independently and in a team environment
Strong documentation skills
Proactive approach to identifying and solving problems
Ability to learn and adapt to new technologies quickly

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

Base Pay Range

SF Bay Area, Seattle Metro, and New York City Metro Area

Base Pay Range: $146,400.00 - 201,300.00 per year

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

Base Pay Range: $131,760.00 - 181,170.00 per year

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

Base Pay Range: $117,120.00 - 161,040.00 per year

Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.

Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https://splunkbenefits.com.

Qualifications

US Citizenship
Bachelor's degree in Computer Science, Software Engineering, or related field
3+ years of experience in software development using languages such as Python and Golang
Strong experience with cloud platforms (AWS, GCP, or Azure)
Proficiency in containerization technologies (Docker, Kubernetes)
Experience with CI/CD tools (Jenkins, GitLab CI, or similar)
Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)
Understanding of RESTful APIs
Knowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databases
Knowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)
Experience with version control systems (Git) and collaborative development workflows
Soft Skills
Strong problem-solving and analytical abilities
Excellent written and verbal communication
Ability to work independently and in a team environment
Strong documentation skills
Proactive approach to identifying and solving problems
Ability to learn and adapt to new technologies quickly

Benefits

SF Bay Area, Seattle Metro, and New York City Metro Area
Base Pay Range: $146,400.00 - 201,300.00 per year
Base Pay Range: $131,760.00 - 181,170.00 per year
All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area
Base Pay Range: $117,120.00 - 161,040.00 per year
Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles
We have a market-based pay structure which varies by location
Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate
In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards
Benefits are an important part of Splunk's Total Rewards package
This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more!

Responsibilities

As the Software Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers
This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies
The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence
Design, develop, and maintain AI services in our AI platform that powers all our AI products
Implement and optimize CI/CD pipelines for machine learning model deployment
Architect and manage cloud infrastructure using Infrastructure as Code principles
Collaborate with ML Engineers and Applied Scientists to build efficient model serving systems
Monitor system performance and implement improvements for scalability
Participate in code reviews and technical documentation
Troubleshoot production issues and implement solutions

Software Engineer, AI Platform (FULLY REMOTE)-US Citizenship Required - 32073

Job Type