Full Stack Software Engineer - Remote BRAZIL ONLY

Ardan Labs; Brazil; On-site; BRL 180,000 - 300,000; Full time

Job summary

Ardan Labs in Brazil seeks a Brazilian full-stack software engineer with 6+ years of professional experience to build life sciences software. You’ll own complex features, collaborate across teams, and advance AI-driven development practices.

You will design cloud-native solutions on AWS or Azure, implement APIs, front-end and back-end services, and ensure quality and security in regulated contexts.

Qualifications

• Bachelor's Degree in Computer Science or Information Technology.
• 6+ years of Software Engineering experience across full stack development.
• Experience delivering software across full development life cycle.

Responsibilities

• Develop, test, and deploy components in cloud environments via CI/CD.
• Translate designs into APIs, UI, libraries, and services following standards.
• Incorporate AI coding tools to speed design and quality.

Skills

Full stack

Cloud-native

CI/CD

REST APIs

TypeScript

Node.js

Kubernetes

GitHub Actions

Agile

Data security

Education

Bachelor's degree in Computer Science/IT

Tools

Docker

AWS

Azure

Kafka

Artifactory

Job description

If you are a Brazilian full-stack developer with 6+ years of professional experience currently living in Brazil, come develop great software solutions to solve exciting problems that help patients in the life sciences space! One of our Software Product Engineering teams is looking for a full stack engineer. Are you determined to own and complete complicated and technically ambitious work? Are you passionate about technology, with extensive full stack development experience across both front-end and back-end systems? The team is actively adopting AI across the development lifecycle to help build better software, faster, and we're looking for engineers who are excited to be part of that evolution while bringing strong engineering fundamentals.

What You’ll Be Doing

• Develop, test, and deploy components into provisioned cloud platform environments through automated Continuous Integration and Deployment (CI/CD) processes.
• Review and implement technical designs, translating them into APIs, user interfaces, libraries, and services across a range of programming languages while adhering to our existing architecture, design, implementation, and security standards.
• Use AI coding tools to accelerate design exploration, implementation, testing, and debugging, while owning the correctness, security, and maintainability of everything you ship.
• Build and integrate AI capabilities into products, such as LLM-powered features and agent tools, where they improve patient and user outcomes.
• Build working knowledge of medical device delivery models and quality systems, including GxP expectations, to ensure solutions align with regulatory requirements and timelines.
• Integrate open source and licensed components into larger solutions, making practical reuse decisions and ensuring dependencies are sourced through approved enterprise channels (e.g., Artifactory) and meet security and licensing requirements.
• Investigate and propose solutions to development and design problems through open collaboration and healthy debate, including scope estimation and forecasting.
• Collaborate effectively with product managers, designers, engineers, stakeholders, and vendors within the team and across the enterprise.
• Establish strong relationships with technical leaders and architects to influence technology direction for Software Product Engineering platforms and products.
• Practice effective source control, code review, and collaborative programming to drive high-quality outcomes.
• Partner with data professionals to implement database and data warehousing solutions.
• Complete projects with minimal supervision and direction.

Experience & Responsibilities

• Experience designing and building cloud-native applications using containerized services and microservices architectures on AWS or Azure.
• Exposure to large-scale architectural patterns, ideally with hands‑on experience implementing event‑driven systems using Apache Kafka (or similar) for scalable, resilient processing.
• Strong object-oriented programming skills, excellent debugging skills, and expertise with data serialization, REST APIs, and version control.
• Experience with TypeScript, Node.js, or a JVM language (e.g., Kotlin) for building front-end and back-end services, along with HTML, CSS, and SASS; Python experience is a plus.
• Familiarity with build automation and containerization technologies such as GitHub Actions, Jenkins, Docker, and Kubernetes.
• Experience using AI coding tools (e.g., Claude Code, GitHub Copilot, Cursor) in your development workflow; familiarity with LLM application patterns such as RAG, tool use, or MCP is a plus.
• A proven track record of Agile software development, demonstrated through a portfolio of software development projects.

Qualifications

• Bachelor's Degree in Computer Science, Information Technology
• 6+ years of experience in Software Engineering, including full stack development across front-end and back-end systems
• Professional experience delivering software solutions across the full development life cycle, including project initiation, design, development, testing, deployment, maintenance, support, and retirement