Software Architect

NETomi

remote globalPosted Jul 17, 2026
Posting intelligenceActively listed

Skills

kubernetesterraformspringdockerkafkaredismysqlcicdjavaawsecs

About the role

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!

Netomi is looking for a highly experienced Software Architect to join its Core Platform team. The ideal candidate will have strong hands-on experience building scalable, low-latency, high-performance backend systems using Java, Spring Boot, MySQL, Redis, AWS, Docker, and ECS.

This role requires someone who can design robust platform architecture, guide engineering teams, solve complex technical problems, and ensure systems are built for scale, reliability, and performance.

Key Responsibilities

Design and architect scalable, secure, and high-performance backend systems for Netomi’s core platform.

Build and optimize low-latency applications capable of handling high-throughput workloads.

Lead technical design discussions and define architecture best practices across engineering teams.

Work extensively with Java, Spring Boot, MySQL, Redis, AWS, Docker, and ECS.

Own performance tuning, database optimization, caching strategies, and distributed system design.

Collaborate with product managers, engineering leaders, DevOps, and QA teams to deliver reliable platform capabilities.

Review code, mentor senior engineers, and drive engineering excellence.

Ensure platform components are resilient, observable, maintainable, and production-ready.

Make architectural decisions around microservices, APIs, cloud infrastructure, scalability, and deployment patterns.

Identify technical risks and proactively propose solutions.

Required Skills and Experience

8+ years of software engineering experience, with strong backend/platform engineering exposure.

Strong expertise in Java and Spring Boot.

Deep experience with MySQL, including schema design, indexing, query optimization, and transaction management.

Hands-on experience with Redis for caching, rate limiting, queues, or low-latency data access.

Strong cloud experience with AWS, especially production-grade deployments.

Experience working with Docker and containerized applications.

Hands-on experience with AWS ECS or similar container orchestration platforms.

Proven experience designing and building low-latency, high-performance applications.

Strong understanding of distributed systems, microservices, REST APIs, event-driven architecture, and system scalability.

Experience with monitoring, logging, debugging, and production incident resolution.

Strong problem-solving, ownership, and technical leadership skills.

Good to Have

Experience with Kafka, SQS, SNS, or other messaging/event-streaming systems.

Experience with Kubernetes, Terraform, CI/CD pipelines, and infrastructure automation.

Exposure to AI, chatbot, automation, or SaaS platforms.

Experience leading architecture for large-scale multi-tenant systems.

Ideal Candidate

The ideal candidate is a hands-on architect who can think at system level, write clean and efficient code when required, mentor engineers, and make strong technical decisions for a high-scale core platform environment.

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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