Technical Lead

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.

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 looking for a Principal Engineer, Products & Platforms to join our Product engineering team to provide technical leadership across Redwood’s Workload Automation Platform, defining architecture, driving modernization, and influencing engineering strategy across multiple 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 Principal Engineer, you will:

• Technical Leadership & Architecture: Define the path forward for complex engineering problems, establish best practices, lead design review and technology decisions, and mentor the team to excel, while driving the architecture, security, compliance, and observability of our Java/Spring Boot microservices.
• Platform and Infrastructure Ownership: Drive the deep understanding, architecture, and evolution of our core platform and infrastructure, focusing on resilience, communication between components, 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).

YOUR EXPERIENCE

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 12+ 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 Expertise (AWS Preferred): Extensive experience architecting, deploying, and managing complex solutions on a major cloud platform, with a deep understanding of cloud concepts including networking, security, and cost optimization.
• 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: Mastery of container orchestration, specifically with EKS (Elastic Kubernetes Service), incl