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 Python Software Engineer, Cloud and Data

Build secure Python services, cloud applications, and data pipelines for Software Mind’s global clients. Connect business systems with shared data layers, dashboards, and planning tools.

Apraksts

  • Join a client’s data science and product team, working with business stakeholders
  • Turn Lovable prototypes into secure, production-ready services on Cloud Run
  • Develop backend and middleware services with authentication, audit trails, and secure document storage
  • Create and orchestrate feeds from Salesforce and external data providers into the canonical data layer, dashboards, and planning tools such as Pigment and Anaplan
  • Automate recurring reporting and analysis, including scheduled data centralization and quarterly metrics with manual overlays
  • Take responsibility for the security of delivered systems
  • Review AI Skills used by business teams from a technical perspective
  • Record decisions and processes in READMEs, runbooks, and architecture notes
  • Explain technical trade-offs to nontechnical stakeholders and raise risks and sequencing concerns
  • Keep work within the scope assigned to this team.

Prasības

  • Approximately 4–7 years of professional software engineering experience
  • Strong production Python skills for services and data pipelines, including testing and CI/CD
  • Deep cloud experience with compute, managed databases, serverless services, and IAM; GCP preferred, with AWS or Azure also accepted
  • Broad full-stack capability, strongest in APIs and middleware, with the ability to make React/TypeScript front-end changes without a designer
  • Data engineering experience ingesting APIs, databases, and file extracts; orchestrating workflows, preferably with Airflow; and using SQL, ideally alongside NoSQL, and schema design
  • Demonstrated ability to take prototypes or AI-generated code into production and own services end to end, including deployment, monitoring, and documentation
  • Practical service security experience, including authentication, least-privilege IAM, secrets management, input validation, audit logging, dependency hygiene, and secure document storage and retention
  • Ability to work autonomously and commercially with ambiguous briefs, unfamiliar systems, and undocumented tables
  • Experience integrating Salesforce or planning platforms such as Pigment and Anaplan
  • Knowledge of canonical or dimensional data modeling
  • Exposure to LLM workflows and prompt evaluation
  • Experience with Lovable or Supabase

Priekšrocības

  • Flexible, remote working arrangements
  • International projects for leading global clients
  • Travel opportunities connected to international projects
  • A non-corporate working environment
  • Language classes
  • Knowledge-sharing initiatives
  • Private healthcare and life insurance
  • Multisport card

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