Platform Engineer
@
Eve
Our mission is to re-imagine the legal industry by enabling “AI-native Law Firms” that are managed, scaled, and operated by software rather than large teams. Our initial focus is building a platform that empowers plaintiff lawyers in case work, leveraging advanced AI models, thoughtful design, and precise engineering. Our team comprises industry experts and engineers with experience at innovative companies like Rubrik, Facebook, and Scale.
AWS
Azure
GCP
Kubernetes
Terraform
Docker
Eve
Eve is an industry leader in legal tech, empowering plaintiff attorneys with AI-driven solutions to achieve better outcomes for their clients. Our core values—Excellence, Visionary Innovation, and Elevation—drive everything we do. We are committed to providing tools that transform the legal industry and support our clients' success at every step. Targeting a total addressable market (TAM) of over $500 billion, we are positioned at the forefront of a rapidly expanding industry.
What We Are Looking For:
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
- Experience in Scalable Infrastructure: Proven experience building reliable, scalable infrastructure for AI/ML applications
- Proficiency in Cloud Technologies: Strong understanding of modern cloud infrastructure, with a focus on reliability and scalability
- Data Pipeline Expertise: Experience designing and managing data pipelines for complex machine learning workflows
- Performance Optimization Skills: Ability to optimize system performance and manage resources effectively at scale
What We Are Looking For:
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
- Experience in Scalable Infrastructure: Proven experience building reliable, scalable infrastructure for AI/ML applications
- Proficiency in Cloud Technologies: Strong understanding of modern cloud infrastructure, with a focus on reliability and scalability
- Data Pipeline Expertise: Experience designing and managing data pipelines for complex machine learning workflows
- Performance Optimization Skills: Ability to optimize system performance and manage resources effectively at scale
