Senior Software Engineer, Python, Cloud, Data

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

📋 Description

• Become a member of a client's data science and product team, collaborating closely with business stakeholders.

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

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

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

• Automate regular reporting and analysis, which includes scheduled data centralization and quarterly metrics supplemented with manual overlays.

• Take ownership of the security for all deliverables.

• Conduct technical evaluations of AI skills utilized by business teams.

• Document processes through READMEs, runbooks, and architectural notes.

• Clarify trade-offs to non-technical stakeholders while identifying technical risks and sequencing issues.

• Avoid scope that falls under other teams' responsibilities.

⛳️ Requirements

• Approximately 4–7 years of practical commercial software engineering experience.

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

• Extensive cloud expertise in compute, managed databases, serverless, and IAM; GCP preferred, with AWS or Azure also accepted.

• Full-stack capabilities, strongest in APIs and the middle layer, with the ability to modify a React/TypeScript front end without designer assistance.

• Experience in data engineering involving API, database, and file-extract ingestion; orchestration, preferably with Airflow; and SQL, ideally with NoSQL and schema design.

• Demonstrated experience in transitioning prototypes or AI-generated code to production and managing a service end to end, encompassing deployment, monitoring, and documentation.

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

• Ability to operate autonomously with business acumen when addressing ambiguous briefs, unfamiliar systems, and undocumented tables.

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

• Understanding of canonical or dimensional data modeling.

• Familiarity with LLM workflows and prompt evaluation.

• Experience with Lovable or Supabase.

🏝️ Benefits

• Flexible and remote work arrangements.

• Opportunities to work on international projects with leading global clients.

• Travel related to international project engagements.

• A non-corporate work environment.

• Access to language classes.

• Participation in knowledge-sharing initiatives.

• Private healthcare and life insurance benefits.

• Access to a multisport card.