Platform Engineer

Eve; San Mateo (CA); On-site; USD 195,000 - 350,000; Full time

Benefits offered by this job

Competitive Salary & Equity

401(k) Matching

Health, Dental, Vision, Life Insurance

Commuter Benefits

Autonomous Work Environment

Workplace Setup Reimbursement

Telecomm Stipend

Flexible Time Off

Quarterly Team Gatherings

In office Perks

Job summary

Eve is redefining legal tech with AI-powered workflows for plaintiff firms. We build scalable infrastructure and data pipelines to support AI/ML across intake through resolution, collaborating with engineers, designers, and operators from top tech companies.

We offer an autonomous work environment and equity as we grow 2x quarter over quarter. As part of our infrastructure team in the United States, you’ll design reliable systems, optimize performance, and enable developers to move fast in a

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• Experience building reliable, scalable infrastructure for AI/ML applications.
• Strong understanding of modern cloud infrastructure focusing on reliability and scalability.
• Experience designing and managing data pipelines for complex ML workflows.
• Ability to optimize system performance and manage resources at scale.
• Comfort collaborating with cross-functional teams to solve infrastructure challenges.

Responsibilities

• Design and implement scalable infrastructure to support AI/ML applications.
• Develop efficient data pipelines for complex ML workflows.
• Optimize system performance and resource usage for large-scale operations.
• Collaborate with ML and development teams to address infrastructure challenges.
• Enhance developer productivity by building tools and platforms.

Skills

Scalable infrastructure

Cloud technologies

Data pipelines

Performance optimization

Cross-functional collaboration

Education

Bachelor’s or Master’s in Computer Science or Software Engineering

Job description

About Eve

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 howlaw is practiced, this is where you belong.

Product-market fit:

Backed by top investors:

Built by a world-class team:

AI-Native from day one:

Explosive growth:

Eve is trusted by over 1000+ law firms, and we’re growing fast.

We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed.

Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up.

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.

What You’ll Do:

• 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.

What We’re 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.
• Comfort collaborating with cross‑functional teams to solve unique infrastructure challenges.

Final compensation will be determined based on a variety of factors, including but not limited to relevant experience, skills, interview performance, and the scope and level of the role and candidate.

US Base 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*

*In office employees only

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, 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.