Senior Software Engineer building scalable AWS, Big Data, and ML infrastructure for Genesys’ AI - powered customer - experience platform. Leading distributed systems projects from architecture through production.
About the role
- Senior Software Engineer leading design and implementation of scalable software for symbolic AI solutions. Joining RelationalAI to deliver trustworthy decision intelligence systems.
Responsibilities
- Design and build highly available, performant, and scalable distributed systems that power our core decision intelligence platform.
- Implement and optimize advanced graph-based reasoning algorithms to solve complex problems within enterprise knowledge graphs.
- Apply expertise in symbolic AI, machine learning, and data systems to deliver production-ready enterprise B2B SaaS features.
- Own and drive architectural initiatives that simplify, secure, and scale platform capabilities.
- Collaborate cross-functionally with Product, Security, and Operations teams to ensure high-confidence delivery.
- Mentor junior and mid-level engineers through technical guidance, code reviews, and design sessions.
Requirements
- 7+ years of professional experience designing, building, and operating production-grade, distributed software systems.
- Expertise in Python and/or Julia and comfortable selecting appropriate tools for a given technical task, including working with SQL.
- Solid understanding of system design and architecture for data-intensive applications.
- Practical experience with cloud-native infrastructure (e.g., Kubernetes, containers, CI/CD, IaC).
- High engineering maturity, demonstrated by a strong track record of ownership, accountability, and advocating for security, reliability, and performance.
- Excellent communication and collaboration skills.
- Familiarity with core concepts of graph & network analysis.
- Willingness to participate in a shared on-call rotation.
Benefits
- Competitive salary + equity
- Open PTO
- Flexible schedules
- Recharge weeks
- Global benefits
- Mental-health support
- Learning stipends
- Regular team offsites and global events
- A culture of transparency & knowledge-sharing
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