What are the responsibilities and job description for the Platform Engineer position at Eve?
Company OverviewEve is an industry leader in legal tech, empowering plaintiff attorneys with AI-driven solutions to achieve better outcomes for their clients. Our mission is to re-imagine the way the legal industry operates by creating “AI-native law firms” that are managed, scaled, and operated by software rather than armies of people - automating everything from document review to case strategy, so they can focus on winning better outcomes for their clients.Why Join EveProduct-market fit: Eve is used by over 300 law firms, and we’re growing fast.Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed.Built by a world-class team: Engineers, designers, and operators from places like Scale, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up.AI-native from day one: We collaborate directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work.Explosive growth: We are growing 2X revenue Quarter over Quarter.What You Will AccomplishDesign 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.What We Are Looking ForEducational 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.Benefits\uD83D\uDCB0 Competitive Salary & Equity\uD83D\uDCB9 401(k) Program⚕️ Health, Dental, Vision and Life Insurance\uD83E\uDE7C Short Term and Long Term Disability\uD83D\uDE97 Commuter Benefits\uD83E\uDDD1\uD83D\uDCBB Autonomous Work Environment\uD83D\uDDA5️ In-Office Setup Reimbursement\uD83C\uDFDD Flexible Time Off (FTO) Holidays\uD83D\uDE80 Quarterly Team Gatherings\uD83E\uDD6A In office PerksCompensation at Eve is highly competitive and determined based on experience, seniority, and considerations of both internal and external equity, as well as location. For this position, the base salary range is between $195,000 - $300,000 USD per year.In addition to a compelling salary and performance-based bonuses, we offer an equity component that provides meaningful ownership and the opportunity to share in the company's long-term success.Hybrid Workplace: Our hybrid work model (Monday, Tuesday and Wednesday in our San Mateo office) allows you the flexibility to work remotely while also benefiting from in-person collaboration days at our office. We value the balance between focused individual work and the innovation that comes from face-to-face team interactions.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
Salary : $195,000 - $300,000
