Java Full Stack Software Developer (AI Accelerated)

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes.

ABOUT US Redwood Software is the leader in full stack automation fabric solutions for mission-critical business processes. With the first SaaS-based composable automation platform specifically built for ERP, we believe in the transformative power of automation. Our unparalleled solutions empower you to orchestrate, manage and monitor your workflows across any application, service or server — in the cloud or on premises — with confidence and control.
Redwood’s global team of automation experts and customer success engineers provide solutions and world-class support designed to give you the freedom and time to imagine and define your future. Our collaborative and dynamic environment fosters creativity, continuous learning, and a passion for building exceptional products. Get out of the weeds and see the forest, with Redwood Software.

CORE VALUES One Team. One Redwood
Make Your Own Weather
Obsess over Customer Success
Work the Problem
Be Curious
Own the Outcome
Respect Each Other

YOUR IMPACT We are seeking a highly skilled and motivated Full Stack Java Developer to join our engineering team. In an environment where our SDLC is powered by cutting-edge AI tools (including generative AI for coding, testing, and documentation), your primary focus will shift from boilerplate implementation to high-level system architecture, critical evaluation of AI-generated code, and complex problem-solving.

This role is for a developer who sees AI not as a replacement for skill,



but as a force multiplier that demands greater judgment, technical depth, and prompt engineering expertise. Leveraging AI, you will work across the entire software development lifecycle, from concept to deployment, collaborating closely with product managers, designers, and other engineers to deliver high-quality, impactful solutions.

Key Responsibilities

- AI-Enhanced Development & Delivery: Design, develop, and maintain high-performance, scalable Java applications and microservices (primarily using Spring Boot/Spring Framework). Utilize AI coding assistants (e.g., GitHub Copilot, internal tools) to increase speed and offload repetitive tasks.
- Prompt Engineering for SDLC: Apply advanced prompt engineering techniques to maximize the efficacy of generative AI tools for writing comprehensive unit/integration tests, drafting technical documentation (Javadoc, API specs), and generating code refactoring suggestions.
- CI/CD and Observability: Oversee and enhance automated build, test, and deployment pipelines (CI/CD, Kubernetes/Docker) in a cloud environment (AWS/Azure/GCP), leveraging AI tools for proactive anomaly detection and monitoring.

Required Technical Qualifications

- Some professional experience in developing enterprise-level applications using Java (8+ / modern Java).




- Proficiency with the Spring Ecosystem (Spring Boot, Spring Data, Spring Security).
- Understanding of Object-Oriented Design (OOD), software design patterns, and Microservices architecture.
- Some practical experience with concurrency and multithreading in Java to build highly performant services.
- Proficiency in modern DevOps practices, including Git, Docker, Kubernetes, and CI/CD pipelines (e.g., Jenkins, GitLab CI).
- Understanding of front-end technologies such as HTML, CSS, JavaScript, TypeScript, and modern JavaScript frameworks (e.g., ReactJS, MobX).
- Experience with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis).

Essential AI-Era Skills (The "New Bar")

- AI Tool Fluency: Demonstrated ability to proficiently use AI-powered developer tools (e.g., GitHub Copilot, CodeWhisperer) in a production environment.
- Code Judgment: Reviews and tests AI-generated code before using it, checks that it fits the task and team standards, and seeks guidance when a suggestion raises questions about security, performance, or the broader design.
- Prompting Proficiency: Experience writing transparent, contextual, and effective prompts for generative AI to produce usable code, tests, or documentation.
- Adaptability & Learning: High degree of curiosity and a proactive approach to learning new AI tools and techniques that continuously reshape the development workflow.
- Domain & Architectural Focus: The capacity to abstract away from low-level coding details to focus on high-value business logic and systemic architectural integr

📌 Java Full Stack Software Developer (Canada)
🏢 Redwood
📍 Canada