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

Software Mind; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Access to language classes

Private healthcare and life insurance

Multisport card

Knowledge-sharing initiatives

Job summary

Software Mind ищет опытного инженера-программиста для работы в глобальных проектах в области данных и ML на стыке бизнесу и технологий. Вы будете переводить прототипы Lovable в production-сервисы на Google Cloud и строить конвейеры данных, интегрируя Salesforce и платформы планирования.

Вакансия предполагает автономную работу, широкий набор проектов и ответственность за безопасность и документацию. Глубокое владение Python и опытом в облаках обязательно.

Qualifications

• 4–7 лет коммерческой разработки ПО.
• Глубокие знания Python и опыт работы с сервисами и пайплайнами данных, включая тестирование и CI/CD.
• Опыт работы с облачными технологиями (GCP, AWS, Azure).
• Фуллстек: API и бэкэнд, умение правлять фронт на React/TypeScript без дизайнера.
• Опыт Data engineering: ingestion, orchestration (Airflow) и моделирование схем.
• Опыт доведения прототипов/AI-кода до продакшна и поддержку сервиса от начала до конца.
• Безопасность сервисов: аутентификация, IAM, хранение секретов, аудит, хранение и retention документов.
• Автономность, коммерческая осведомленность и умение работать без детального брифинга.
• Опыт интеграций Salesforce или платформ планирования Pigment/Anaplan.
• Знание канонических/моделирующих данных и интерес к Data Strategy.
• Опыт работы с LLM-воркфлоу и prompt evaluation.
• Опыт работы с Lovable или Supabase.

Responsibilities

• Присоединиться к клиентской команде data science и работать с бизнес-заинтересованными сторонами.
• Перевести прототипы Lovable в безопасные production сервисы в Google Cloud / Cloud Run.
• Разрабатывать источники данных, связывая Salesforce и внешние поставщики с каноническим слоем данных.
• Обеспечить безопасность и аудитную записываемость всех развиваемых сервисов.
• Документировать работу: README, runbooks, архитектурные заметки.
• Объяснять trade-offs неодушевленным стейкхолдерам, обозначать риски и последовательность работ.

Skills

Python

API development

Data pipelines

CI/CD

LLM workflows

Tools

Airflow

Lovable

Supabase

React/TypeScript

GCP/AWS/Azure

Job description

Описание:

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities - these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines delivering results with enjoyment.

Задачи:

• Join a client's data science and product team and work hand in hand with its business stakeholders.
• You’ll turn internal apps prototyped in Lovable into secure production services on Google Cloud and build data feeds connecting business systems to the company’s canonical data layer.
• Expect a hands-on, autonomous individual contributor role and a varied roadmap of projects.
• 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 such as Salesforce and third-party data providers to the canonical data layer, dashboards and planning tools like Pigment and Anaplan.
• Automate recurring reporting and analysis, including scheduled data centralisation and quarterly metrics with manual overlays.
• Own the security of everything you ship, since there is no separate InfoSec function.
• Provide technical review of AI Skills used by business teams.
• Document your work as you go (READMEs, runbooks, architecture notes) so others can maintain it.
• Explain trade-offs to non-technical stakeholders, flag technical risks and sequencing concerns to the sponsor, and decline scope that belongs to other teams.

Требования:

• 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: you handle unclear briefs without hand-holding, get up to speed quickly on wide, undocumented tables and unfamiliar systems, and anticipate what users need.
• 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.

Условия:

• 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.
• The availability and terms of individual benefits may vary depending on the chosen form of cooperation.