Job DescriptionGENERAL 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.
• 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
