Founding Engineer, Infrastructure
About ParambilWe're building AI infrastructure for the $50B personal injury legal market.Every year, millions of injury cases move through the legal system. Attorneys spend weeks reviewing medical records - hundreds of pages per case - to find the critical details that determine case outcomes. It's time-intensive, expensive, and leaves room for human error.Parambil is solving this with AI.Our platform transforms medical record review from weeks of manual work into minutes of intelligent analysis. We help attorneys quickly identify key medical facts, surface case-critical details, and build stronger arguments for their clients.Our traction speaks for itself:10x revenue and customer growth in the past yearTrusted by leading personal injury law firms and major enterprises (including cruise lines)$8M raised from top-tier investors including Bling Capital, NVP, and Daybreak ($6M in our most recent round)Founded by veterans from McKinsey QuantumBlack, Yale/Stanford Medicine, and Emory CSAdvised by post-exit CTOs and AI researchersWe've found product-market fit and we're scaling fast. We're building the future of legal AI from our NYC office near Grand Central with a small, technical, and focused team.What We're Looking ForWe need our first dedicated infrastructure engineer - someone who will own our infrastructure, scale our systems, and ensure we can handle rapid growth without breaking. You'll also jump into TypeScript when needed, whether it's building internal tools, optimizing backend services, or helping ship features during critical moments.This is a rare opportunity to define infrastructure practices from the ground up at a fast-growing AI startup, working on challenges that span AWS architecture, deployment pipelines, observability, data infrastructure, security, and scalability.You'll work directly with our CTO and engineering team to build infrastructure that's reliable, secure, and enables the team to move fast.Core infrastructure experience:5+ years building and scaling production infrastructureDeep AWS expertise: EC2, RDS, S3, Lambda, VPC, IAM, CloudWatch, load balancing, auto-scalingStrong experience with infrastructure-as-code (Terraform, CloudFormation, or similar)Production experience with CI/CD pipelines and deployment automationSolid understanding of networking, security, and system architectureExperience with monitoring, logging, and observability tools (DataDog, CloudWatch, Grafana, or similar)Database operations and optimization experience (PostgreSQL preferred)Full-stack capabilities:Comfortable writing TypeScript - you can build internal tools, debug backend issues, and contribute to the application when neededExperience optimizing backend services for performance and reliabilityUnderstanding of modern web architecture: APIs, authentication, job queues, cachingAble to work across the stack when the team needs help shippingBonus points for:Experience with AI/ML infrastructure (GPU instances, model serving, vector databases)Security experience: SOC 2, HIPAA compliance, secrets management, access controlsPrior startup experience, especially as an early infrastructure hireExperience in legal tech, healthcare, or other highly regulated industriesBackground in SRE or DevOps practicesYour RoleBuild and scale infrastructure (70% of time):Design and implement scalable AWS architecture for our AI platformBuild and maintain deployment pipelines and development workflowsOptimize database performance, implement caching strategies, manage data pipelinesEstablish monitoring, alerting, and observability practices - know what's happening before users doImplement security best practices: IAM policies, network security, encryption, secrets managementPlan for scale: ensure our infrastructure can handle 10x growth without major rewritesOwn reliability: incident response, post-mortems, continuous improvementSupport product development (30% of time):Write TypeScript to build internal tools, admin dashboards, and automation scriptsJump in to help ship features during critical launches or tight deadlinesOptimize backend services and APIs for performanceDebug production issues across the full stackWork with the team to make smart technical decisions that balance speed and sustainabilityScale with us:Define our infrastructure standards and best practices from scratchBuild systems that enable the engineering team to ship faster and more confidentlyTake on expanding scope and potentially build an infrastructure team as we growInfluence technical strategy and architecture decisionsWhat we offerBuild from scratch: Define infrastructure practices at a company in hypergrowth mode -your decisions will scale with usReal impact: Your work directly enables product velocity and protects sensitive medical/legal dataTechnical challenges: Scale AI/ML workloads, process massive datasets, build for HIPAA compliance, optimize for both speed and reliabilityElite team: Work with talented engineers who value craft and will be eager partnersComprehensive benefits: Medical insurance, 401(k)Fast growth: Scale your work and potentially build an infrastructure team as we growCompetitive compensation: $160K–$200K base + meaningful equityGreat culture: Tight-knit team in NYC near Grand Central that values curiosity, speed, and executionWhy Parambil?Strategic importance: Infrastructure is a competitive advantage and enables everything we do - it's not an afterthoughtGreenfield opportunity: Build infrastructure the right way from the beginning, not fix years of tech debtHigh trust environment: Direct access to leadership, your recommendations will be taken seriouslyCareer growth: First infrastructure hire with clear path to infrastructure leadership as we scaleMeaningful work: Build systems that protect sensitive medical and legal data impacting real people's livesTechnical autonomy: You'll own the infrastructure stack and make foundational decisionsLocation: Full-time, in-person in New York City - we value real collaboration and spontaneous problem-solving