11 days ago
Remote, WorldwideStaff+
Responsibilities
- Own the architecture and evolution of data extraction, loading, and pipeline infrastructure serving 500+ integrations.
- Identify architectural bottlenecks and drive performance and reliability improvements across Kubernetes, distributed systems, ClickHouse, and PostgreSQL.
- Modernize legacy systems including LES, DSAS, and ULS into scalable AI-native infrastructure.
- Design and implement agentic development frameworks covering AI-assisted development, automated acceptance, validation, testing, and rollout.
- Document technical decisions and set standards for code quality, reliability, and performance.
- Mentor engineers on responsible AI-assisted development practices and collaborate with product and AI teams on rollout and new integrations.
Requirements
- 7+ years of hands-on backend engineering experience, including at least 2 years in a principal- or architect-level role owning production systems.
- Experience designing and scaling complex production systems.
- Hands-on experience with AI-assisted development, Claude Code, agentic coding, and building agentic frameworks for code maintenance and rollout.
- Strong distributed systems experience with Kubernetes, workflow orchestration such as Temporal, and message queues such as RabbitMQ.
- Experience building secure, resilient systems and applying observability, alerting, and incident response practices at scale.
- Strong SQL and query optimization experience across PostgreSQL and ClickHouse.
- Ability to work within the EST timezone and fluency in English.
- Preferred qualifications include defining engineering standards, migrating legacy pipeline systems, and experience with data integration or ETL infrastructure.
Benefits
- Remote-first work environment.
- 20 PTO days plus US holidays.
- Stock options.
- Professional development reimbursement.
- Optional relocation assistance to Latin America after the trial period.
- Direct impact on platform architecture and freedom to experiment with a modern AI-native technology stack.
Tech Stack
Categories
BackendData Engineering