Senior Software Engineer, Python, Cloud, Data

This is a fully remote position, open to applicants in Poland.

📋 Description

• Join a client's data science and product team to collaborate with business stakeholders.

• Transform internal applications developed in Lovable into secure, production-ready services on Google Cloud Run.

• Develop backends and intermediary layers featuring authentication, audit trails, and secure document storage.

• Create and manage data feeds that connect Salesforce and third-party data providers to the canonical data layer, dashboards, and planning tools like Pigment and Anaplan.

• Automate periodic reporting and analysis, including scheduled data centralization and quarterly metrics with manual overlays.

• Take responsibility for the security of delivered software in the absence of a dedicated InfoSec function.

• Conduct technical reviews of AI capabilities utilized by business teams.

• Document work through READMEs, runbooks, and architecture notes.

• Clarify trade-offs to non-technical stakeholders and identify technical risks and sequencing concerns to the project sponsor.

• Refrain from taking on scope that belongs to other teams.

⛳️ Requirements

• Approximately 4–7 years of hands-on experience in commercial software engineering.

• Strong proficiency in production Python across services and data pipelines, including testing and CI/CD.

• Extensive cloud expertise with compute, managed databases, serverless, and IAM; ideally with GCP, though AWS or Azure experience is also acceptable.

• Full-stack capability, particularly strong on APIs and the middleware, with the ability to adapt a React/TypeScript front end.

• Data engineering experience with data ingestion from APIs, databases, and file extracts.

• Familiarity with orchestration, preferably using Airflow.

• Schema design experience for SQL and ideally NoSQL databases.

• Proven ability to transition prototypes or AI-generated code to production, taking full ownership of a service from deployment to monitoring and documentation.

• Hands-on experience in securing services, including authentication, least-privilege IAM, secret management, input validation, audit logging, dependency hygiene, and secure document storage and retention.

• Ability to work autonomously and maintain commercial awareness; adept at navigating unclear briefs, learning undocumented tables and unfamiliar systems, and anticipating user needs.

• Experience in building integrations with Salesforce or planning platforms such as Pigment and Anaplan.

• Understanding of canonical or dimensional data modeling.

• A keen interest in contributing to a company-wide data strategy.

• Exposure to LLM workflows and prompt evaluation.

• Familiarity with Lovable or Supabase.

🏝️ Benefits

• Flexible and remote working arrangements.

• International projects with leading global clients.

• Opportunities for travel related to international projects.

• Non-corporate working environment.

• Access to language classes.

• Participation in knowledge-sharing initiatives.

• Access to private healthcare and life insurance.

• Access to a multisport card.