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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level, generalist backend role with common Java/Kubernetes skills increases candidate competition.
Core backend, cloud, and integration skills are transferable, though enterprise MFT/SAP knowledge adds moderate domain specificity.
Explicit 4–8 years plus mandatory Java, cloud, Kubernetes, and DevOps requirements increase screening strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and enhance Redwood’s Workload Automation Platform powering enterprise data exchange for 1,000+ customers.
Solve complex engineering problems contributing to Java/Spring Boot microservices with focus on security, compliance, and observability.
Collaborate cross-functionally to align on product delivery and integrate AI/ML concepts into product capabilities for automation and intelligent routing.
Minimum Requirements
Bachelor’s degree in Computer Science, Engineering, or related field.
4–8 years of professional software engineering experience focused on high-scale products and platforms.
Strong skills in Java, Spring Boot, REST APIs, microservices, Kubernetes (EKS preferred), and cloud platforms with AWS preference.
Experience with AI/ML concepts, DevOps practices (CI/CD, IaC like Terraform), and understanding of enterprise file transfer protocols (SFTP, FTPS, AS2).
Ideal Candidate Profile
Experienced in building distributed SaaS systems and scalable cloud infrastructure with Kubernetes and AWS.
Proven ability to contribute to complex technical initiatives and collaborate effectively across Product, QA, and engineering teams.
Familiar with AI/ML application in enterprise solutions, especially for automation or predictive maintenance within workload or file transfer platforms.