Senior Software Engineer, Full-Stack (US Remote) @ Splunk - San Jose, CA
Job Overview
5 days ago
Senior Software Engineer, Full-Stack (US Remote)
Splunk - San Jose, CA
Join us as we pursue our vision to make the world a place where data provides clarity, elevates discussion, and accelerates progress for everyone. We are a company filled with people who are passionate about our products 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
Our team is building assistive intelligence experiences (AIEs), which leverage machine learning to help Splunk users obtain value from their data. As a full-stack software engineer on the AIE team, you will contribute to both the frontend and backend of the applications that we build, which range from Splunk apps to SaaS products.
Responsibilities
You will:
- Gather UI requirements from product managers and product designers
- Implement UIs for AIE applications
- Integrate machine learning models into AIE application backends
This role involves a multi-office, multi-location development environment; prior experience working with local and remote teams is a plus. While experience with products involving applications of ML models within enterprise software is highly desirable, it is not required.
Required Skills
- Bachelor’s degree in Computer Science or a closely-related discipline with 8+ years software engineering experience; Master’s degree with 5+ years experience; or a PhD with 3+ years experience
- Good grasp of CS fundamentals such as concurrency, data structures, algorithms
- Development experience with JavaScript / React and Python / FastAPI
- Experience building scalable, multi-tenant web applications with REST APIs
- Experience developing and productionizing test automation and CI/CD pipelines
Desired Skills
- Familiarity with building and deploying containers on K8s
- Experience in developing software on a public cloud platform (AWS, GCP, Azure)
- Experience using PyTorch or other deep learning frameworks
- Experience with stream processing technology (Pulsar, Kafka, AWS Kinesis)
- Ability to communicate constructively with researchers and engineers from an academic background
We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.
Note: 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 below, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and benefits, 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, an ESPP and much more! Learn more about our comprehensive benefits and wellbeing offering here.
Base Pay Range
SF Bay Area, Seattle Metro, and New York City Metro Area
Base Pay Range: $163,200 - 224,400 per year
California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts
Base Pay Range: $148,000 - 203,500 per year
All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.
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