AI Platform Architect responsible for scaling EisnerAI Platform and mentoring cross - functional teams at EisnerAmper. Overseeing cost and performance optimization across the AI stack.
About the role
- Backend Engineer designing and building scalable systems for Clari’s Revenue Platform. Collaborating with cross-functional teams to enhance performance and reliability of core features.
Responsibilities
- Design, build, and maintain backend services and APIs that power core features of the Clari platform
- Collaborate with cross-functional teams to design scalable and maintainable solutions
- Contribute to improving performance, observability, and overall system reliability
- Write clean, efficient, and well-tested code with attention to long-term quality
- Participate in code reviews, architecture discussions, and technical design sessions
- Troubleshoot and resolve production issues alongside senior engineers
- Take ownership of projects and continuously refine engineering practices and workflows
Requirements
- 2–5 years of experience developing backend systems using Java or a similar object-oriented language
- Solid foundation in computer science fundamentals — data structures, algorithms, and system design
- Experience building RESTful APIs and working with relational databases such as PostgreSQL or MySQL
- Familiarity with distributed systems or event-driven architectures (e.g., Kafka)
- Experience deploying and maintaining services in a cloud environment (preferably AWS)
- Focus on building maintainable, observable, and performant systems
- Strong communication skills and ability to collaborate effectively across teams
- Growth mindset with a drive to expand your technical depth and product understanding
Benefits
- Team-bonding activities and company-wide events
- Flexible working hours
- Annual Well-being and Professional Development Stipends
- Private Healthcare and Multisport Pass
- Paid maternity and paternity leave
Job title
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