Ativa os alertas de emprego por e-mail!

Full Stack Engineer (Python/React) - Marketing

Truelogic

Brasil

Teletrabalho

BRL 120.000 - 160.000

Tempo integral

Hoje
Torna-te num dos primeiros candidatos

Resumo da oferta

A leading nearshore staff augmentation provider is seeking an experienced back-end developer to design and maintain Python-based microservices and integrate AI features. Candidates must have over 5 years of Python development experience, proficiency in REST APIs, and strong communication skills in English. This role offers 100% remote work and competitive compensation in USD.

Serviços

100% Remote Work
Highly Competitive USD Pay
Paid Time Off
Work with Autonomy

Qualificações

  • 5–8+ years of professional back-end development experience, using Python.
  • Experience with designing and consuming RESTful APIs.
  • Excellent communication skills in English.

Responsabilidades

  • Design, develop, and maintain Python-based microservices.
  • Integrate and consume 3rd-party REST APIs.
  • Build and maintain front-end components using React.

Conhecimentos

Back-end development
Python
AI integration
RESTful APIs
Microservices architecture
Excellent English communication

Formação académica

Bachelor's or Master's in Computer Science, Engineering, or equivalent

Ferramentas

FastAPI
SQLAlchemy
React
GitHub Actions
Google Cloud Platform (GCP)
Descrição da oferta de emprego
About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

Our client is a challenger holding company built to transform marketing.

Responsibilities
  • Design, develop, and maintain Python-based microservices using FastAPI, SQLAlchemy, and Pydantic, aligned with TDRs and Figma designs.

  • Integrate and consume 3rd-party REST APIs and internal services.
  • Develop AI-powered features by integrating LLMs (e.g., ChatGPT, Gemini, Claude, or similar) to enhance product functionality.
  • Perform prompt engineering to ensure predictable and accurate AI-driven outputs.
  • Build and maintain front-end components using React, including hooks, React Router, and React Query.
  • Implement and maintain CI/CD pipelines (GitHub Actions) and ensure smooth automated deployments.
  • Work with Google Cloud Platform (GCP) services for hosting, storage, and scaling applications.
  • Monitor and log web applications to ensure proper performance and reliability in production.
  • Collaborate effectively with other developers in a dynamic, project-based environment, typically rotating every 2–3 months.
  • Stay current with new AI, cloud, and web technologies, applying them to improve project efficiency and quality.
Qualifications and Job Requirements

Must

  • 5–8+ years of professional back-end development experience, primarily using Python (FastAPI, Django preferred).

  • Proven experience designing and consuming RESTful APIs (SOAP experience is a plus).
  • Experience building AI-enabled applications or integrating LLM APIs (OpenAI, Anthropic, Google Gemini, etc.).
  • Strong experience with microservices architecture and scalable system design.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
  • Excellent communication skills in English, with the ability to work collaboratively with global teams.
  • Full-time availability (40 hours/week) with at least 4 hours overlap with U.S. time zones.

Nice to have:

  • Experience with containerization technologies like Docker and Kubernetes.
  • Familiarity with cloud ecosystems (AWS, GCP, Dataiku, or Databricks).
  • Experience in building scalable, secure enterprise-grade applications.
  • Exposure to Big Data technologies (Spark, Hive, etc.).
  • Strong problem-solving and consultative mindset, capable of translating business needs into technical solutions.
  • Highly autodidactic, especially in emerging fields like AI prompt design and model integration.
What We Offer
  • 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
  • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
  • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
  • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
  • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Why You’ll Like Working Here
  • A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
  • Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
  • Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply now!

Obtém a tua avaliação gratuita e confidencial do currículo.
ou arrasta um ficheiro em formato PDF, DOC, DOCX, ODT ou PAGES até 5 MB.