Software Architect
N
NetomiAI Platform
Remote - IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSDockerJavaMySQLSpring BootRedisRESTful APIsMicroservicesDistributed Systems
Requirements
- 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.
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.
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