Remote Database engineer platform engineering Jobs – 124 Open Jobs Today

SDE II - Backend
Netomi —Remote
- Full-time
- Remote
- System design
- Java
- Databases
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SDE II - Backend

Netomi -
Remote

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Job details

Full-time

Qualifications

Spring Boot
CI/CD
Performance tuning
Elasticsearch
Kubernetes
Relational databases
System design
NoSQL
Git
MongoDB
Java
Databases
AWS
Docker
PostgreSQL
Distributed systems
Continuous integration
Redis
RabbitMQ
Back-end development
APIs
Kafka
Data science
DynamoDB
SaaS
AI
RDS database
Spring framework
MySQL

Full 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.

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:

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.

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.

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