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 are hiring an SDE 2 Backend Engineer to support the design, development, and maintenance of scalable backend services and APIs. The role will involve owning backend workstreams, building reliable system integrations, improving performance and observability, and contributing to production stability.
The engineer will work closely with product, frontend, QA, DevOps, and other engineering stakeholders to deliver roadmap items and support ongoing platform needs. This role requires strong backend development experience, problem-solving ability, ownership mindset, and the ability to independently deliver medium-to-large technical initiatives.
The position is required to improve backend execution capacity and support faster, more predictable delivery of business-critical features.
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:
2-4 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
Hands-on experience with RESTful API design, microservices architecture, and integration of third-party services.
Strong cross-team collaboration skills, with the ability to work effectively with product, frontend, QA, and DevOps teams to deliver reliable features end to end.
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.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
