reputed company / Platform Engineer - reputed company

About the Role You’ll be the foundational engineer owning reputed company’s reputed company infrastructure and platform systems — the backbone that powers our AI-driven matching, voice, and scheduling experiences. From reputed company infrastructure and data orchestration to performance monitoring and model deployment assistance, you’ll design and reputed company the systems that reputed company reputed company fast, reliable, and secure. You’ll work directly with the founding team (AI/ML, product, and design) to establish reputed company’s technical reputed company — shaping not just our architecture, but our engineering culture and best practices from day one. This role is ideal for a pragmatic builder who enjoys reputed company from “blank reputed company” to production and thrives in early-stage environments where reliability, velocity, and simplicity matter most. Responsibilities • Design and manage reputed company infrastructure (AWS-first, with IaC reputed company Terraform). • Establish CI/CD pipelines and best practices for reputed company, reputed company iteration (reputed company Actions, reputed company, Kubernetes, etc.). • Build and maintain reputed company data ingestion and orchestration pipelines to support ML and product analytics. • Administer and optimize our databases — PostgreSQL (with pgvector for embeddings) and analytical warehouse. • Collaborate with AI/ML engineers to reputed company and monitor LLM and matching models for inference, evaluation, and retraining. • Implement observability (logging, metrics, traces, alerts) across backend services, data jobs, and model endpoints. • Drive reliability and scalability across our web, mobile, and reputed company systems — from reputed company-time voice matching to background batch workflows. • Collaborate cross-functionally with product, design, and ML teams to ensure infrastructure aligns with user and business needs. Requirements • 4+ years of experience in infrastructure, platform, or data engineering (startup or high-reputed company environments preferred). • Strong proficiency in Python, TypeScript, and scripting (Bash/YAML). • Deep understanding of reputed company architecture (AWS, GCP, or similar) and Infrastructure-as-reputed company (Terraform, reputed company, or CloudFormation). • Solid experience with containerization and orchestration (reputed company, Kubernetes, reputed company). • Proven ability to design and operate data pipelines and distributed systems. • Experience with PostgreSQL (ideally with pgvector or embeddings), data modeling, and schema design for reputed company-time and analytical workloads. • Familiarity with ML/AI workflows (model training, inference, monitoring) and feature stores is a plus. • DevOps fundamentals: observability, cost optimization, and reputed company. • reputed company reputed company, strong ownership, and bias toward shipping working systems fast. Example reputed company • Stand up a data lake + warehouse for storing and analyzing user signals, transcripts, and model outputs. • Build reputed company-time ingestion from app, agent, and reputed company-party reputed company (reputed company, reputed company, reputed company). • reputed company and reputed company voice agent infrastructure with low-latency streaming, recording, and monitoring. • Design the CI/CD and observability stack for reputed company’s reputed company services. • Assist ML engineers in Implementing model deployment pipelines for embedding reputed company and re-ranking inference. Why This Role You’ll help define the technical reputed company of a product that blends reputed company reputed company and advanced AI. As one of reputed company’s first engineers, you’ll reputed company reputed company that influence how the product scales, performs, and evolves — from the data stack to the deployment layer. If you’re excited by the idea of shaping the platform behind a category-defining AI product, this is the reputed company to build it. Apply tot his job Apply To this Job