Job Description, Responsibilities & Requirements
About the Position
Platform Engineer
San Mateo, CA (Hybrid)
Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong.
Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors, including Spark Capital, Andreessen Horowitz (A16z), Menlo Ventures, and Lightspeed, we’ve raised over $160M. Built by a world-class team from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft, we’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. We are growing 2X revenue Quarter over Quarter.
Responsibilities
- Design and Implement Scalable Infrastructure: Build reliable, scalable infrastructure to support AI/ML applications, ensuring seamless operation of our core products.
- Develop Efficient Data Pipelines: Create and manage data pipelines capable of handling complex machine learning workflows, facilitating efficient data processing and analysis.
- Optimize System Performance: Enhance the performance of machine learning systems, managing resources effectively to support large-scale operations.
- Collaborate Across Teams: Work closely with machine learning and development teams to address novel infrastructure challenges, fostering a cohesive and innovative engineering environment.
- Enhance Developer Productivity: Develop platforms and tools that improve developer efficiency, contributing to a more productive engineering workflow.
Requirements
- 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.
- Comfort collaborating with cross-functional teams to solve unique infrastructure challenges.
We Offer
- Compensation: Final compensation will be determined based on relevant experience, skills, interview performance, and the scope and level of the role and candidate.
- Salary Range: $195,000 - $350,000 USD
Benefits
- 💰 Competitive Salary & Equity
- 💹 401(k) Program with Employer Matching
- ⚕️ Health, Dental, Vision, and Life Insurance
- 🩼 Short Term and Long Term Disability
- 🚗 Commuter Benefits
- 🧑💻 Autonomous Work Environment
- 🖥️ Workplace Setup Reimbursement
- 🏠 Telecomm Stipend
- 🏝 Flexible Time Off (FTO) + Holidays
- 🚀 Quarterly Team Gatherings
- 🥪 In office Perks
Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter.
We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.