Develop scalable Java applications and microservices using Spring, while applying AI-assisted development and prompt engineering throughout the SDLC. Build and maintain CI/CD pipelines, cloud deployments, containerized services, and observability solutions. Collaborate with product managers, designers, and engineers on architecture, testing, documentation, and complex problem-solving. The role also involves reviewing AI-generated code, working with front-end technologies and databases, and applying agile, TDD, or BDD practices.
OUR MISSION
At Redwood, we empower our customers with lights-out automation for their mission-critical business processes.
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.
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
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
Essential AI-Era Skills (The "New Bar")
YOUR EXPERIENCE
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
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 clear, 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 integrity.
YOUR EXPERIENCE
- Familiarity with mainframes and mainframe development.
- Understanding of agile development methodologies (Scrum, Kanban)
- Familiarity with test-driven development (TDD) or behavior-driven development (BDD).
- Experience in the automation or SaaS industry.
- Contributions to open-source projects or a strong GitHub portfolio.
Why Join Us?
- Competitive compensation package, comprehensive health, dental, and vision benefits.
- Opportunity to work on innovative and impactful products that are transforming industries.
- Generous paid time off, holidays and flexible work arrangements.
- Work with a highly skilled, passionate, and diverse team of engineers.
- Opportunities for professional growth and development.
- Collaborative and supportive team environment.
- “One Redwood” company culture.
Pay Transparency: The typical base salary range for this position is 83,000 - 105,000 CAD annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. Final compensation will be determined based on the candidate's skills, experience, and relevant qualifications.
Vacancy Status: Existing vacancy
AI Transparency Disclosure: As part of our commitment to hiring transparency and in compliance with Ontario law, please be advised that we utilize artificial intelligence (AI) tools during our interview process. Specifically, we may use an AI-enabled notetaking assistant to help capture and summarize interview discussions. This tool is used solely to assist our hiring team in summarizing candidate information; all final hiring and selection decisions are made exclusively by individuals on the hiring team.
Vacancy Status: Existing vacancy
AI Transparency Disclosure: As part of our commitment to hiring transparency and in compliance with Ontario law, please be advised that we utilize artificial intelligence (AI) tools during our interview process. Specifically, we may use an AI-enabled notetaking assistant to help capture and summarize interview discussions. This tool is used solely to assist our hiring team in summarizing candidate information; all final hiring and selection decisions are made exclusively by individuals on the hiring team.
If you like growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
THE LEGAL BIT
Redwood is an equal opportunity employer. Redwood prohibits unlawful discrimination based on race, colour, religion, sex, gender identity, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), sexual orientation, pregnancy or any other consideration made unlawful by regional or local laws. We also prohibit discrimination based on a perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful and will have a zero tolerance policy applied to it.
Redwood will comply with all local data protection laws, including GDPR when it comes to the handling and processing of personal data. Should you wish for us to remove your personal data from our recruitment database, please email us directly at [email protected]
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The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
