[GVI] Senior Software Engineer (Python + Cloud + Data)

Software Mind

1d•Remote

About The Position

Software Mind is seeking a Senior Software Engineer with expertise in Python, Cloud, and Data to join one of its client's data science and product teams. This role involves working closely with business stakeholders to transform internal applications prototyped in Lovable into secure production services on Google Cloud. You will also build data feeds to connect business systems to the company's canonical data layer. This is a hands-on, autonomous individual contributor role with a varied roadmap of projects.

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 (compute, managed databases, serverless, IAM), ideally on GCP, though AWS or Azure experience also counts
Full-stack range, strongest on APIs and the middle layer, with the ability to adjust a React/TypeScript front end without a designer
Data engineering experience: ingestion from APIs, databases, and file extracts, orchestration (Airflow preferred), and 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 your own services: authentication, least-privilege IAM, secrets handling, input validation, audit logging, dependency hygiene, and secure document storage and retention
Autonomy and commercial awareness: handle unclear briefs without hand-holding, get up to speed quickly on wide, undocumented tables and unfamiliar systems, and anticipate user needs

Nice To Haves

Experience building integrations with Salesforce or planning platforms such as Pigment and Anaplan
Knowledge of canonical or dimensional data modelling, and interest in contributing to a company-wide data strategy
Exposure to LLM workflows and prompt evaluation
Experience with Lovable or Supabase

Responsibilities

Turn internal apps prototyped in Lovable into secure, production-grade services on Cloud Run
Build backends and middle layers with authentication, audit trails, and secure document storage
Build and orchestrate data feeds connecting business systems (e.g., Salesforce, third-party data providers) to the canonical data layer, dashboards, and planning tools (e.g., Pigment, Anaplan)
Automate recurring reporting and analysis, including scheduled data centralization and quarterly metrics with manual overlays
Own the security of all shipped code, as there is no separate InfoSec function
Provide technical review of AI Skills used by business teams
Document work as you go (READMEs, runbooks, architecture notes) for maintainability
Explain trade-offs to non-technical stakeholders, flag technical risks and sequencing concerns to the sponsor, and decline scope that belongs to other teams