Lead Platform Engineer, AI-Native

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

📋 Description

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

• Manage analytical and feature data systems using ClickHouse.

• Design, manage, troubleshoot, and scale data transformation and machine learning workflows.

• Build, refactor, and scale React frontends, as well as Node/Express/Nest-style services and MongoDB-based APIs.

• Create integrations, onboarding processes, billing systems, and customer-facing analytics.

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

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

• Ensure SOC 2 compliance, audit-friendly CI/CD practices, secrets rotation, IAM hygiene, observability, and incident response.

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

• Strengthen CI/CD processes through testing, build validation, deployment controls, and rollback strategies.

• Develop an AI-assisted engineering workflow for the entire team.

• Enhance observability across services, containers, and data flows.

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

• Function as a senior individual contributor reporting to the CTO / Co-Founder.

⛳️ Requirements

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

• Hands-on experience in production ownership of data/streaming pipelines, including Kafka and ClickHouse or similar technologies.

• Operational experience concerning throughput, retention, schema evolution, backfills, and pipeline reliability.

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

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

• Experience with production systems involving logs, metrics, traces, alerts, and incident response in high-pressure scenarios.

• Proven AI-native experience utilizing AI tools to enhance delivery, with a workflow that can be articulated.

• Strong architectural judgment with the ability to design systems, simplify them, and convey trade-offs.

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

• A willingness to take on broad responsibilities and pursue equity opportunities in a startup setting.

🏝️ Benefits

• Meaningful early-stage equity that reflects seniority and the scope of ownership.

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