Why This Job is Featured on The SaaS Jobs
This backend SDE II role sits at a common intersection in modern SaaS: enterprise customer experience software and agentic AI. Building the core services behind a no code platform used by large brands puts the work close to the reliability, security, and multi tenant considerations that typically define enterprise SaaS products, rather than one off internal tooling.
From a SaaS career perspective, the stack signaled here maps to durable platform engineering skills. Experience designing microservices, working with relational data stores, introducing event driven messaging, and applying caching strategies translates across subscription products where uptime, latency, and cost discipline matter. The emphasis on performance profiling and testing also aligns with the operational maturity expected as SaaS systems move from feature delivery to sustained scale.
This role is best suited to engineers who prefer ownership of backend components end to end and who like collaborating across functions to turn product needs into resilient services. It fits someone at the mid level who wants to deepen system design judgment in Java and Spring Boot while gaining practical exposure to distributed systems patterns commonly used in SaaS platforms.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!
We’re looking for a highly motivated SDE 2 – Backend Engineer to join our core engineering team. In this role, you will be a key player in designing, developing, and optimizing high-performance backend systems. You’ll work closely with cross-functional teams to build scalable, secure, and reliable services that power our core platforms. This is a high-impact opportunity to shape technology in a startup-like, fast-paced environment.
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Responsibilities:
- System Design & Development: Architect and implement clean, modular, and scalable backend services using Java, Spring Boot, and modern microservice principles.
- Database Management: Design efficient database schemas and write optimized queries for RDS (MySQL/PostgreSQL) and, optionally, NoSQL databases like Elasticsearch, MongoDB, or DynamoDB.
- Messaging & Event-Driven Systems: Integrate Kafka or RabbitMQ to build robust and loosely-coupled event-driven architectures.
- Caching Strategies: Leverage Redis or Memcached to implement high-performance caching strategies for scalable and low-latency systems.
- Distributed Systems: Contribute to the design of distributed, resilient systems that can handle high throughput and concurrency.
- Performance Optimization: Profile and tune backend performance across databases, APIs, and infrastructure.
- Testing & Code Quality: Write clean, maintainable code with comprehensive unit and integration tests to ensure reliability and stability.
- Startup Environment: Thrive in an agile, collaborative environment and take ownership of end-to-end feature delivery.
Requirements:
- 3+ years of hands-on backend development experience in a product-based company (preferably SaaS).
- Strong expertise in Java and Spring Boot ecosystem.
- Solid understanding of Relational Databases (RDS, MySQL, PostgreSQL).
- Experience with Apache Kafka or RabbitMQ for building asynchronous, decoupled systems.
- Proficiency with Redis or Memcached for performance tuning and data caching.
- Strong problem-solving skills and ability to work independently in a fast-paced, startup-like environment.
- Passion for writing clean, readable, and efficient code with strong testing discipline.
Additional Skills:
- Prior experience working in a high-growth startup for 2+ years.
- Exposure to AI/ML-integrated solutions or interest in working alongside data science teams.
- Experience with infrastructure automation, monitoring tools, or observability stacks.
- Familiarity with NoSQL systems like Elasticsearch, MongoDB, or DynamoDB.
- Knowledge of CI/CD pipelines, Git, and modern development practices.
- Hands-on experience in containerization technologies: Docker, Kubernetes, or AWS ECS/GKE.
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Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
