GENERAL PURPOSE OF THE JOB: The Automation Engineer leads end-to-end project delivery, including requirements gathering, system architecture, prototyping, production deployment, and ongoing iteration.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Design and build company-owned internal software, data pipelines, and integrations to replace Excel as an operational backbone

Translate ambiguous business needs into clear functional and technical specifications

Select appropriate tools, technologies, and architectures to deliver scalable and maintainable solutions

Develop robust, efficient, and reliable systems, ensuring accuracy and correctness through validation and testing

Drive execution and delivery, shipping improvements quickly and iterating based on feedback and results

Replace manual workflows with production software

○ Translate informal processes into clear data models, services, and user-facing tools.

○ Build internal web apps, APIs, and automation services that users adopt.

Build data pipelines and system integrations

○ Ingest data from files, forms, SaaS tools, and internal databases.

○ Implement ETL/ELT pipelines with validation, lineage, and monitoring.

○ Integrate systems via REST APIs, webhooks, queues, and scheduled jobs.

Create durable data foundations

○ Design relational schemas, enforce constraints, manage migrations.

○ Build “single source of truth” datasets for analytics + operations.

Operationalize ML

○ Use pre-trained models (LLMs / vision / classical ML) for classification, extraction,

routing, forecasting, etc.

○ When needed: fine-tune/train on company data, evaluate properly, deploy with

monitoring.

EDUCATION: Computer Science, Computer Engineering, Data Science, AI/ML

EXPERIENCE:

Proficiency in at least one backend language: e.g. Python, TypeScript/Node.js, or C#/.NET

Ability to build automation/services that handle data, integrate APIs, and run reliably in production.

Strong SQL and relational fundamentals (schema design basics, joins/aggregations, constraints, query debugging; Postgres/MySQL/SQL Server).

Ability to build and consume REST APIs (HTTP basics, auth patterns, pagination, error handling).

Solid software engineering fundamentals:

○ data structures + OOP

○ readable, maintainable code

○ debugging and refactoring

Git workflow experience (branches, pull requests, code review habits).

Clear technical communication: can write clean documentation

OTHER SKILLS AND ABILITIES:

Framework experience: FastAPI / Flask / Django, ASP.NET Core, NestJS / Express

Data pipeline orchestration tooling: Airflow / Dagster / Prefect

Docker experience and basic CI/CD (GitHub Actions, Azure DevOps, or similar)

Cloud exposure (AWS / Azure / GCP): managed databases, object storage, message queues

Building SaaS integrations using REST APIs / webhooks

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