Key skills
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesNode.jsPythonReactSparkTensorflowGoC#CGolangAIMachine LearningGenerative AITensorFlowMLflowGCPGoogle CloudK8sProduct ManagementCommunication
About this role
Role Overview
- Build the Enterprise AI Platform: Design and code elegant, scalable, and secure application services that power the future of AI.
- Implement AI Services: Develop application services integrated with machine learning models and Generative AI workflows.
- Drive Engineering Excellence: Advocate for best practices, clean coding standards, and high-quality software craftsmanship.
- Collaborate Cross-Functionally: Partner with UI engineers, UX designers, Product Management, and Field Engineering to deliver high-impact features.
- Enhance Agility: Work to improve developer velocity and team agility within a fast-paced, high-growth environment.
Requirements
- 2+ years of experience building scalable microservices using Go (Golang), Node.js, C#, or Java
- Hands-on experience with Kubernetes (K8s) and at least one major cloud provider (AWS, Azure, or GCP)
- Experience building applications that leverage Python, TensorFlow, Spark, or MLflow
- Proven ability to create high-level and low-level designs for complex distributed systems
- Familiarity with React, HTML, and CSS to support end-to-end feature development
- Strong ownership, a sense of craftsmanship, and excellent verbal and written communication skills
Tech Stack
- AWS
- Azure
- Cloud
- Distributed Systems
- Google Cloud Platform
- Java
- JavaScript
- Kubernetes
- Microservices
- Node.js
- Python
- React
- Spark
- Tensorflow
- Go
Benefits
- Generous PTO Policy
- Support work life balance with Unplugged Days
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement program
- Access to Continued Career Development
- Comprehensive Benefits and Competitive Packages
- Paid Volunteer Time
- Employee Resource Groups