Hybrid Software Engineer, SaaS

at Riverbed Technology

• Job title: Software Engineer, SaaS
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Ansible, AWS, Distributed Systems, Docker, Grafana, Java, Jenkins, Kafka, Kubernetes, Linux, Maven, Microservices
• Location requirements: Hybrid, Romania

About the role

• Software Engineer designing and developing SaaS micro-services for the Aternity platform. Collaborate with cross-functional teams to troubleshoot and optimize distributed systems for digital experience management.

Responsibilities

• Design and develop SaaS micro-services with complex performance, scale, and high availability considerations
• Provide production support, troubleshoot distributed systems, and resolve critical issues
• Identify, assess, and remediate security vulnerabilities across the technology stack
• Own the entire lifecycle of your domain - from architecture and implementation to monitoring, optimization, and continuous improvement
• Participate in CI/CD processes, code reviews, and architectural design decisions
• Leverage AI development tools (Cursor, Claude Code, Copilot) throughout the development lifecycle for code generation, refactoring, debugging, test creation, documentation, and technical analysis
• Collaborate with DevOps, product owners, management, and cross-functional stakeholders

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology (or equivalent)
• 3+ years of backend development experience with strong Object-Oriented programming skills, specifically Java
• Proficient with modern AI development tools (Claude Code, Cursor, GitHub Copilot, etc.) - actively using them for code generation, debugging, refactoring, test creation, security analysis, and documentation - not just as autocomplete but as intelligent development partners
• Proven experience troubleshooting large-scale distributed systems
• Hands-on experience with SaaS technologies: microservices architecture, Kafka, high availability patterns, and big data performance optimization
• Strong knowledge of Linux, Docker, and AWS services
• Experience with monitoring and observability tools (AWS CloudWatch, Grafana, ELK stack)
• Can-do attitude with strong problem-solving skills, proactive mindset, and intellectual curiosity
• Excellent communication and interpersonal skills with experience in agile methodologies
• Big Plus: Kubernetes, Ansible, Jenkins, Maven, BitBucket, and deep CI/CD expertise

Benefits

• Flexible workplace policies
• Employee resource groups
• Learning and development resources
• Career progression pathways
• Community engagement initiatives
• Global employee wellness programs