10 дней назад
Senior Software Engineer (Python / Full-Stack / DevOps)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Python / Full-Stack / DevOps) (Healthcare Data and AI Platform): Building scalable backend services, React applications, cloud-native infrastructure, and data integrations for a unified healthcare professional platform with an accent on Python microservices, full-stack delivery, Kubernetes, Azure, and CI/CD. Focus on designing production software, processing large-scale healthcare data, integrating AI-ready capabilities, and mentoring engineers across backend, frontend, platform, and data initiatives.
Location: São Paulo, Brazil
Company
provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.
What you will do
- Design, develop, and maintain scalable Python backend services and microservices.
- Build full-stack applications with React frontends and API-based backend services.
- Develop, deploy, and operate containerized applications using Docker and Kubernetes in Azure.
- Integrate and process large-scale healthcare and customer data for the Customer360 platform.
- Contribute to architecture, technical decisions, CI/CD automation, testing, documentation, and Agile delivery.
- Review code, mentor junior engineers, and use AI-assisted development tools to improve delivery and code quality.
Requirements
- Bachelor’s degree or higher in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
- 4–6+ years of professional software engineering experience and a record of independently delivering production software.
- Advanced Python, RESTful APIs, microservice architecture, software engineering best practices, and design patterns.
- Experience with Node.js, React, SQL, relational databases such as PostgreSQL, and data integration concepts.
- Hands-on experience with Docker, Kubernetes, Azure, GitLab CI/CD, and cloud-native deployment patterns.
- Experience working in Agile product development environments and contributing across backend, frontend, infrastructure, and data workstreams.
Nice to have
- Experience with Databricks, Apache Spark, ETL, data pipelines, Snowflake, Elasticsearch, vector databases, or graph databases.
- Experience with applied AI, machine learning algorithms, LLMs, agentic AI frameworks, or Model Context Protocol.
- Experience with TypeScript, Terraform, observability solutions, Azure networking and security, or cloud cost optimization.
Culture & Benefits
- Work on a strategic Customer360 platform with executive visibility.
- Contribute to the expansion of ’s engineering hub in Brazil.
- Collaborate with global engineering teams across multiple regions.
- Gain exposure to healthcare data, AI technologies, cloud-native platforms, data engineering, and modern software architecture.
- Work in an environment focused on adaptability, innovation, continuous learning, and technical excellence.
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