Software Mind
Software Mind
Software Mind ir tehnoloģiju uzņēmums, kas organizācijām nodrošina programmatūras izstrādes un digitālās transformācijas pakalpojumus mākslīgā intelekta, SaaS un telekomunikāciju jomā. Uzņēmuma pakalpojumi ietver pielāgotu programmatūru, mobilās lietotnes, mākoņdatošanas konsultācijas un uz mākslīgo intelektu vērstus risinājumus, kas izstrādāti, ņemot vērā klientu vajadzības tādās nozarēs kā finanšu pakalpojumi, telekomunikācijas, biotehnoloģijas un plašsaziņas līdzekļi. Software Mind ar vairāk nekā 1 000 darbiniekiem atbalsta globālajos tirgos strādājošu uzņēmumu tehnoloģiju iniciatīvas un digitālo izaugsmi.

Senior Software Engineer, Python and Cloud Data (Poland, Remote)

Build secure Python services and data pipelines for Software Mind’s global clients. Deliver cloud applications, integrations, automated reporting, and canonical data feeds.

Apraksts

  • Join a client’s data science and product teams, working with business stakeholders.
  • Convert internal Lovable prototypes into secure, production-ready services on Google Cloud Run.
  • Develop backend services and middleware with authentication, audit trails, and secure document storage.
  • Create and orchestrate data feeds from Salesforce and third-party providers into the canonical data layer, dashboards, and planning tools such as Pigment and Anaplan.
  • Automate recurring reports and analysis, including scheduled data consolidation and quarterly metrics with manual inputs.
  • Take responsibility for the security of delivered software where there is no separate InfoSec function.
  • Review AI skills used by business teams from a technical perspective.
  • Record work in READMEs, runbooks, and architecture notes.
  • Explain trade-offs to non-technical stakeholders and raise technical risks and sequencing concerns with the sponsor.
  • Keep work within scope by declining tasks that belong to other teams.

Prasības

  • Approximately 4–7 years of professional, hands-on software engineering experience.
  • Strong production Python experience building services and data pipelines, including testing and CI/CD.
  • In-depth cloud experience with compute, managed databases, serverless services, and IAM; GCP is preferred, but AWS or Azure experience is also relevant.
  • Broad full-stack capability, with particular strength in APIs and middleware, plus the ability to make changes to React and TypeScript front ends.
  • Experience engineering data ingestion from APIs, databases, and file extracts.
  • Experience with workflow orchestration; Airflow is preferred.
  • SQL schema design experience, ideally including NoSQL databases.
  • A track record of taking prototypes or AI-generated code into production and owning services end to end, including deployment, monitoring, and documentation.
  • Practical experience securing services through authentication, least-privilege IAM, secrets management, input validation, audit logging, dependency maintenance, and secure document storage and retention.
  • Able to work independently with commercial awareness, clarify ambiguous briefs, learn undocumented tables and unfamiliar systems, and anticipate user needs.
  • Experience integrating with Salesforce or planning platforms such as Pigment and Anaplan.
  • Knowledge of canonical or dimensional data modeling.
  • Interest in helping shape a company-wide data strategy.
  • Familiarity with LLM workflows and prompt evaluation.
  • Experience with Lovable or Supabase.

Priekšrocības

  • Flexible arrangements for remote work and collaboration.
  • International projects with leading global clients.
  • Travel opportunities connected to international projects.
  • A non-corporate working environment.
  • Access to language classes.
  • Opportunities to take part in knowledge-sharing initiatives.
  • Access to private healthcare and life insurance.
  • Access to a multisport card.

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