About Onified.ai Onified.ai is building an intelligent, multi-tenant SaaS business suite for manufacturing enterprises—covering processes from marketing to order execution, supply chain, and operations. We’re building modern microservices on AWS with a strong focus on scalability, performance, and clean engineering practices. What you’ll do Design, build, and own backend microservices using Java + Spring Boot . Define clean service boundaries , APIs, and data contracts for a scalable microservices architecture. Build and maintain REST APIs (versioning, validation, error handling, docs). Design and optimize PostgreSQL schemas (indexes, constraints, migrations, performance tuning). Set up and enforce backend best practices : coding standards, reviews, testing discipline, release hygiene. Mentor a young team (1–2 years exp) —guide them on architecture, debugging, performance, and quality. Implement multi-tenant SaaS patterns (tenant isolation, security, auditability). Identify bottlenecks and improve latency, throughput, and reliability (profiling, caching, DB tuning). Collaborate closely with frontend, DevOps, and product to deliver end-to-end features. Must-have skills 2+ years of backend experience with Java + Spring Boot . Strong fundamentals of microservices (communication patterns, failure handling, service design). Strong PostgreSQL knowledge: schema design, indexing, query optimization, transactions. Strong REST API design experience (auth, pagination, filtering, rate limits, validation). Clear understanding of clean code, testing, and production-grade engineering. Good to have (nice if you’ve done some of these) Spring Cloud patterns, API Gateway, service discovery, config management. Async/event-driven systems: Kafka / RabbitMQ (or similar). Redis caching, distributed locks, rate limiting. Docker + basic Kubernetes understanding. Observability: structured logs, metrics, tracing (OpenTelemetry/Grafana/etc.). Security: JWT/OAuth2, RBAC/ABAC concepts, audit logs. AWS experience (EKS/ECS, RDS, S3, IAM, CloudWatch). Why join us Mentorship + leadership : You’ll be the experienced backbone guiding a young team. Build from scratch : Real architecture ownership and long-term product impact. Strong engineering culture : focus on best practices, performance, and scalable design. Manufacturing-scale problems : complex workflows, high-volume operations, multi-plant contexts.
About Onified.ai Onified.ai is building an intelligent, multi-tenant SaaS business suite for manufacturing enterprisescovering processes from marketing to order execution, supply chain, and operations. We're building modern microservices on AWS with a strong focus on scalability, performance, and clean engineering practices. What you'll do Design, build, and own backend microservices using Java + Spring Boot . Define clean service boundaries , APIs, and data contracts for a scalable microservices architecture. Build and maintain REST APIs (versioning, validation, error handling, docs). Design and optimize PostgreSQL schemas (indexes, constraints, migrations, performance tuning). Set up and enforce backend best practices : coding standards, reviews, testing discipline, release hygiene. Mentor a young team (12 years exp) guide them on architecture, debugging, performance, and quality. Implement multi-tenant SaaS patterns (tenant isolation, security, auditability). Identify bottlenecks and improve latency, throughput, and reliability (profiling, caching, DB tuning). Collaborate closely with frontend, DevOps, and product to deliver end-to-end features. Must-have skills 2+ years of backend experience with Java + Spring Boot . Strong fundamentals of microservices (communication patterns, failure handling, service design). Strong PostgreSQL knowledge: schema design, indexing, query optimization, transactions. Strong REST API design experience (auth, pagination, filtering, rate limits, validation). Clear understanding of clean code, testing, and production-grade engineering. Good to have (nice if you've done some of these) Spring Cloud patterns, API Gateway, service discovery, config management. Async/event-driven systems: Kafka / RabbitMQ (or similar). Redis caching, distributed locks, rate limiting. Docker + basic Kubernetes understanding. Observability: structured logs, metrics, tracing (OpenTelemetry/Grafana/etc.). Security: JWT/OAuth2, RBAC/ABAC concepts, audit logs. AWS experience (EKS/ECS, RDS, S3, IAM, CloudWatch). Why join us Mentorship + leadership : You'll be the experienced backbone guiding a young team. Build from scratch : Real architecture ownership and long-term product impact. Strong engineering culture : focus on best practices, performance, and scalable design. Manufacturing-scale problems : complex workflows, high-volume operations, multi-plant contexts.