Python Developer
Descrição da Vaga
**Python Software Engineer (AI \& Data Platforms)** **Location:** Brazil (Remote) **Work Hours:** CST‑aligned, flexible **Engagement Type:** Contract **Role Overview** Client is seeking **highly skilled Python Software Engineers** to support **complex data workloads and AI‑driven systems** . This role is ideal for engineers who are **deeply hands‑on with Python and PySpark** , comfortable working in **production environments** , and experienced contributing to or actively engaging with **open‑source communities** . This position will focus on building **production‑grade APIs, scalable data pipelines, and developer tooling** , while collaborating across engineering, product, and data teams. **Top Requirement:** Candidates must be **very strong in Python and PySpark** . This is non‑negotiable and should be the primary focus during technical screening. **Key Responsibilities** * Design and develop **production‑grade Python services and APIs** supporting AI and data platforms * Build and optimize **PySpark workloads** to support large‑scale data processing * Contribute to **AI systems and complex data pipelines** in production environments * Develop **developer tooling** to streamline the software delivery lifecycle * Implement **observability, monitoring, and performance optimization strategies** * Practice **infrastructure‑as‑code** and deployment automation * Collaborate with **engineering, product, and data teams** on architecture and system design * Participate in and contribute to **technical discussions and design reviews** **Required Skills \& Experience** * **Strong Python expertise** (primary language) * **Strong PySpark experience** working with large datasets * 5\+ years of professional **software engineering experience** , primarily in Python * Bachelor’s or master’s degree in computer science **, Software Engineering** , or related field * Experience contributing to **open‑source projects** * Code contributions, PRs, or * Meaningful participation via issues, discussions, or proposals in major libraries (data science, ML, or LLM ecosystems) * Strong experience with **Git** and platforms such as **GitHub, GitLab, or Bitbucket** * Experience developing APIs using **FastAPI** * Experience with ML / data libraries such as **Scikit‑Learn, TensorFlow** , or similar * Experience working with **cloud platforms** (AWS, GCP, or Azure) * Experience with **containers, orchestration systems, and serverless technologies** Strong communication skills and ability to articulate technical decisions clearly
Vaga originalmente publicada em: linkedin
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