Lead Platform Engineer, AI-Native

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of and enhance real-time event ingestion and streaming utilizing Kafka.

• Manage analytical and feature data systems within ClickHouse.

• Create, troubleshoot, and scale data transformation and machine learning workflows, focusing on partitioning, retention, schema evolution, and backfills.

• Develop and expand React frontends, Node/Express/Nest-style services, along with MongoDB-backed APIs.

• Build integrations, manage onboarding, facilitate billing, and provide customer-facing analytics.

• Oversee CI/CD processes using GitHub Actions, Terraform, Kubernetes, and AWS/GCP infrastructure, including secrets management, deployment reliability, and environment automation.

• Implement AI-assisted workflows for scaffolding, testing, migrations, code reviews, observability queries, runbooks, Terraform modules, and data debugging.

• Ensure SOC 2 readiness, maintain audit-friendly CI/CD, manage secrets rotation, uphold IAM hygiene, provide observability, and respond to incidents.

• Map out the platform, repositories, environments, pipelines, cloud resources, and deployment paths within the first 90 days.

• Develop AI-assisted engineering workflows for the team.

• Enhance production and pipeline observability.

• Transition vendor-dependent infrastructure to internally managed Terraform/Kubernetes automation.

• Report directly to the CTO / Co-Founder.

• Engage in a customized interview process that includes technical assessments, AI-assisted practical tests, domain discussions, infrastructure/incident evaluations, and founder sessions.

⛳️ Requirements

• A minimum of 7 years of software engineering experience, with a focus on production ownership.

• Hands-on experience managing data/streaming pipelines using Kafka and ClickHouse or similar technologies.

• Operational expertise in throughput, retention, schema evolution, backfills, and ensuring pipeline reliability.

• Strong full-stack development skills with TypeScript/JavaScript, React, Node.js, Express and/or NestJS, along with MongoDB.

• Familiarity with AWS and/or GCP, Terraform, Kubernetes, Docker, GitHub Actions CI/CD, secrets management, and deployment automation.

• Proven track record of managing production systems, including logs, metrics, traces, alerts, and incident response in high-pressure situations.

• Demonstrated experience using AI-native coding tools and an explainable workflow.

• Strong architectural insight and the ability to design systems, simplify complexities, and articulate trade-offs.

• Comfort working in a lean startup environment with significant ownership responsibilities, limited documentation, and dynamic priorities.

• Capability to work as a US-based engineer.

• Willingness to assume broad ownership with potential startup equity benefits.

🏝️ Benefits

• Health, vision, and dental insurance.

• Equity options / meaningful early-stage equity, aligned with seniority and ownership scope.

• Standard 4-year equity vesting with a 1-year cliff.

• Full-time W-2 employment.