Software Engineer (Python OR Go)

Location: Kraków, Lesser Poland Voivodeship, Poland

Workplace: remote

Description

Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We build and modernise backend-heavy, integration-critical systems where speed, accuracy, security, and reliability are essential. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we work closely with our clients to deliver software, automation, and AI solutions that create real business value. Our clients include SEB, NordVPN, and CarVertical.

We are looking for an experienced Software Engineer to build scalable data collection solutions and deliver custom datasets for client projects. You will use Python or Go and AI-assisted development tools, taking ownership from initial requirements through to delivery.

What you’ll do

• Build scalable crawlers, scrapers, and parsers handling millions of requests.
• Own client projects from requirements to dataset delivery.
• Write reusable Python or Go code using AI-assisted development tools.
• Integrate scraping solutions with databases and data pipelines.
• Review code, troubleshoot issues, and adapt solutions as requirements evolve.

Technology stack - Python, Go, PostgreSQL, BigQuery, GCP, Playwright, Camoufox, Airflow, Claude Code.

Requirements

• Strong backend development experience with Python or Go, or substantial web scraping expertise.
• Knowledge of web scraping, parsing, and headless browsers.
• Experience with PostgreSQL, BigQuery, or similar databases.
• Practical experience with AI development tools such as Cursor or Claude Code.
• Independent ownership, clear communication, and a pragmatic approach to delivery.

• Nice to have - experience with ETL/ELT pipelines, Airflow, Dagster, or Spark, alongside familiarity with Playwright, Camoufox, or cloud infrastructure.

Benefits

• Diverse and technically challenging projects.
• Training budget for professional and personal growth.
• Flexible working hours and a hybrid workplace model.
• Flexible schedule and an Agile/SCRUM environment.
• Technical equipment that you can choose.