Software Engineer - Developer Tools and Productivity
Mountain View, CA
Kumo
Kumo is a platform that uses artificial intelligence to help businesses make predictions from their data, like customer churn or product purchases.The Value You'll Add:
- Build and extend components of the core Kumo infrastructure
- Willingness to respond and be a key participant in our incident management process and develop tools for better Root Cause Analysis and reduction in MTTR (mean time to respond)
- Build and automate CI-CD pipelines, and release tooling to support continuous delivery and true zero-downtime deployments across different cloud providers using the latest cloud-native technologies.
- Build the Kumo ML Ops platform, which will be able to data drift, track model versions, report on production model performance, alert the team of any anomalous model behavior, and run programmatic A/B tests on production models.
- You will work on advanced tools developed for the worldβs leading cloud-native machine learning engine that uses graph deep learning technology
Your Foundation:
- BS (preferred MS, PhD.) in Computer Science.
- Must Have: B2B Saas experience, architecting experience in building a large-scale distributed system at scale.
- 3+ years of experience writing production code in Java, Javascript, C++, or Python (NO NEW GRADS)
- Experience with productionizing cloud applications, including Docker and Kubernetes, CI/CD and advanced packaging, versioning, and deployment strategies, containers and serverless architecture, online/offline feature stores, model performance monitoring
- Familiarity with popular MLOps tooling from cloud vendors like GCP (Vertex AI), AWS (SageMaker) or Azure Machine Learning and MLFlow, Kubeflow, etc.
- Proficiency with general full-stack application development, such as defining data models, building abstractions for business logic, and developing customer-facing Web Front Ends or public APIs/SDKs for the application.
- Experience with Infrastructure-as-code development (e.g., Terraform, Cloud Formation, Ansible, Chef, Bash scripting, etc.)
- Core understanding of data modeling and fundamentals of data engineering (e.g. integrations/connectors, pipelines, ETL/ELT processes)
Your Extra Special Sauce:
- AWS Advanced Networking/ AWS Security/ DevOps / Solution Architect Professional Certifications
- Working knowledge of OAuth, OIDC, SAML, JWT, and identity and access management
- Proficiency with asynchronous Python frameworks such as Fast API
* Salary range is an estimate based on our AI, ML, Data Science Salary Index π°
Tags: A/B testing Ansible APIs Architecture AWS Azure Big Data CI/CD Computer Science Deep Learning DevOps Docker ELT Engineering ETL GCP Java JavaScript Kubeflow Kubernetes Machine Learning MLFlow MLOps PhD Pipelines Python SageMaker Security Terraform Vertex AI
Perks/benefits: Career development
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