Software Engineer

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

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.

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

We are looking for a Software Engineer, Products & Platforms to join our Product engineering team to contribute to technical development across Redwood’s Workload Automation Platform, helping modernize and build reliable capabilities across our engineering teams. You will be instrumental in the design, development, and enhancement of our platform, building high-quality, scalable, and secure software that powers enterprise data exchange for more than 1,000 customers worldwide.

As a Software Engineer, you will:

• Technical Delivery & Architecture: Solve complex engineering problems, follow established best practices, participate in design reviews, and collaborate with peers, while contributing to the development, security, compliance, and observability of our Java/Spring Boot microservices.
• Platform and Infrastructure Implementation: Develop a solid understanding of our core platform and infrastructure, contributing to its resilience, component communication, and scalability.
• Cross-Team Collaboration: Facilitate and drive cross-team collaboration with Product, QA, and other engineering groups to ensure end-to-end alignment and successful product delivery.
• AI Integration: Research and apply AI/ML concepts and their usage to innovate and enhance the MFT (Managed File Transfer) and WLA (Workload Automation) product capabilities (e.g., intelligent routing, predictive maintenance, enhanced security).

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 4–8 years of professional software engineering experience, with significant focus on high-scale products and platforms.
• Strong Java, Spring Boot, and REST API skills with a solid understanding of OOP, design patterns, and architecture principles.
• Cloud Platform Experience (AWS Preferred): Practical experience deploying, maintaining, and developing solutions on a major cloud platform, with a good understanding of cloud concepts including networking, security, and cost efficiency.
• Expertise in building distributed SaaS systems, micro services, APIs, Kubernetes, cloud platforms.
• AI Awareness: Proven familiarity with AI/ML concepts and their usage, with practical experience or a strong conceptual understanding of how to apply these techniques to solve engineering problems.
• DevOps Expertise: Strong understanding of modern DevOps practices, including CI/CD, Infrastructure as Code (IaC) such as Terraform, and automated platform management.
• EKS/Kubernetes: Strong working knowledge of container orchestration, specifically with EKS (Elastic Kubernetes Service), including inter-component communication and basic cluster operations.
• Protocol Understanding: In-depth understanding of enterprise file transfer protocols (e.g., SFTP, FTPS, AS2) and secure communication protocols.
• Proven ability to contribute to key technical initiatives and collaborate effectively with engineering peers.
• Knowledge of agile development methodologies (Scrum, Kanban).
• Excellent problem-solving, communication, and collaboration skills.
• Experience with large-scale enterprise application integration, preferably with SAP.