Parambil
Senior Full-Stack Engineer
New York City · Senior · Full-time
Sponsorship not specified$150k-$220kDetected 321 days ago
TypeScriptReactNext.jsFull-Stack DevelopmentPostgreSQLAWSTerraformCollaborationProblem Solving
About the role
- Communicate technical ideas, constraints, and trade-offs clearly
- Provide guidance to other engineers, ensuring smooth collaboration and delivery
Responsibilities
- Our team is small, technical, and moving fast - and we're building the future of legal AI from our NYC office near Grand Central.
- You'll build meaningful features that go live quickly
- Build alongside the best talent in NYC
- Ownership & Impact: You'll build meaningful features that go live quickly
- Elite Team: Build alongside the best talent in NYC
- You'll own a piece of what you're building
Requirements
- Deep AWS and infrastructure expertise - designing, deploying, and monitoring production systems using Terraform, ECS, EC2, and supporting services like Lambda, RDS, and CloudWatch
Nice to have
- 6+ years building and shipping full-stack web apps. experience with Next.js, React, TypeScript, or PostgreSQL is a plus
Skills
- Work directly with lawyers and domain experts to understand problems and model solutions using cloud, web, and AI infrastructure
Compensation
- Full-time, in-person role in New York City - we value real collaboration and spontaneous problem-solving
- Ownership & Impact: You'll build meaningful features that go live quickly
- Elite Team: Build alongside the best talent in NYC
- Fast Growth: Your work will directly shape our product and company trajectory
- Culture: We're a tight-knit, no-ego team that values curiosity, speed, and execution
Benefits
- Medical Insurance, 401K
- Competitive salary range: $150K-$220K Base + Equity
- Equity: You'll own a piece of what you're building
Company info
- Your work will directly shape our product and company trajectory
- We're a tight-knit, no-ego team that values curiosity, speed, and execution
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This listing is sourced directly from Parambil's careers page and normalized into a canonical job model.