AI Platform Architect — Scalable Data Pipelines & Backend

Improvado; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote-first

Direct impact on platform architecture

Modern AI-native tech stack

PTO 20 days + US holidays

Stock options

Dev reimbursement

Relocation assistance to LATAM

Job summary

Improvado is seeking a Principal Engineer to set technical direction for AI-assisted engineering across the Platform Team. You will own architecture for core Python-based extraction and load infrastructure powering 500+ integrations and drive AI-native modernization while mentoring engineers.

You will write code, review architecture, and shape how agentic coding and LLM tooling integrate into our delivery process with strong reliability and maintainability.

Qualifications

• 7+ years of backend engineering with hands-on coding.

Responsibilities

• Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale.
• Identify architectural bottlenecks and drive performance and reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL).
• Lead modernization of legacy systems into scalable, AI-native infrastructure.
• Design and implement agentic development frameworks for codebase maintenance and continuous improvement, with validation, testing, and guardrails.
• Make and document key technical decisions; set the bar for code quality, reliability, and performance.
• Mentor and level up engineers on AI-assisted development practices to ship faster with managed risk.
• Collaborate with product and AI teams on agentic framework rollout and new integrations.

Skills

Backend engineering

Architectural leadership

AI-assisted development

Kubernetes

Temporal

RabbitMQ

PostgreSQL

ClickHouse

SQL optimization

Reliability engineering

Tools

Claude Code

Agentic coding

LLM tooling

Job description

Improvado is seeking a Principal Engineer to set technical direction for AI-assisted engineering across the Platform Team. You will own architecture for core Python-based extraction and load infrastructure powering 500+ integrations and drive AI-native modernization while mentoring engineers.

You will write code, review architecture, and shape how agentic coding and LLM tooling integrate into our delivery process with strong reliability and maintainability.