Senior Software Engineer, Python, Cloud, Data

🔥 5 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Software Mind

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 Private Equity Round on 2020-12

Artificial Intelligence • SaaS • Telecommunications

Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.

📋 Description

• Join a client's data science and product team and collaborate with business stakeholders • Turn internal apps prototyped in Lovable into secure, production-grade services on Google Cloud Run • Build backends and middle layers with authentication, audit trails, and secure document storage • Build and orchestrate data feeds connecting Salesforce and third-party data providers to the canonical data layer, dashboards, and planning tools such as Pigment and Anaplan • Automate recurring reporting and analysis, including scheduled data centralisation and quarterly metrics with manual overlays • Own the security of delivered software in the absence of a separate InfoSec function • Provide technical review of AI skills used by business teams • Document work through READMEs, runbooks, and architecture notes • Explain trade-offs to non-technical stakeholders and flag technical risks and sequencing concerns to the sponsor • Decline scope belonging to other teams

🎯 Requirements

• Around 4–7 years of hands-on commercial software engineering experience • Strong production Python skills across services and data pipelines, including testing and CI/CD • In-depth cloud experience with compute, managed databases, serverless, and IAM; ideally GCP, though AWS or Azure also counts • Full-stack range, strongest on APIs and the middle layer, with ability to adjust a React/TypeScript front end • Data engineering experience with ingestion from APIs, databases, and file extracts • Experience with orchestration, preferably Airflow • Schema design for SQL and ideally NoSQL databases • Proven experience taking prototypes or AI-generated code to production and owning a service end to end, including deployment, monitoring, and documentation • Hands-on experience securing services: authentication, least-privilege IAM, secrets handling, input validation, audit logging, dependency hygiene, and secure document storage and retention • Autonomy and commercial awareness; ability to handle unclear briefs, learn undocumented tables and unfamiliar systems, and anticipate user needs • Experience building integrations with Salesforce or planning platforms such as Pigment and Anaplan • Knowledge of canonical or dimensional data modelling • Interest in contributing to a company-wide data strategy • Exposure to LLM workflows and prompt evaluation • Experience with Lovable or Supabase

🏖️ Benefits

• Flexible and remote cooperation options • International projects with leading global clients • Travels related to international projects • Non-corporate atmosphere • Access to language classes • Access to knowledge-sharing initiatives • Access to private healthcare and life insurance • Access to multisport card