
Ryz Labs builds startups from the ground-up and helps other startups scale by providing top-tier technical talent solutions.
11 - 50 employees
43 minutes ago
Apollo
AWS
DynamoDB
EC2
ElasticSearch
GraphQL
Kafka
Microservices
NoSQL
Postgres
Python
RabbitMQ
React
React Native
Redis
SQL
Terraform
TypeScript

Ryz Labs builds startups from the ground-up and helps other startups scale by providing top-tier technical talent solutions.
11 - 50 employees
• Build and maintain backend services and APIs (REST, GraphQL) using frameworks like Express, Fastify, and Apollo. • Manage and optimize databases (Postgres, DynamoDB) and in-memory stores (Redis, Memcached), including schema design, indexing, replication, and query optimization. • Drive improvements in system architecture, including event-driven design, asynchronous workflows, and messaging/pub-sub systems. • Design, deploy, and maintain services on AWS (Lambda, Fargate/EC2, S3, RDS/DynamoDB, SQS/SNS, CloudFront, Cognito). • Debug and refactor legacy systems to improve scalability, performance, and reliability. • Implement and manage observability (logging, monitoring, alerting). • Contribute to infrastructure as code (Terraform or similar) and CI/CD pipelines.
• 5+ years of professional experience building backend services. • Proficiency in TypeScript and/or Python. • Strong experience with SQL/NoSQL databases and in-memory caching. • Deep understanding of system design, including event-driven architectures, messaging queues, and scalable service patterns. • Familiarity with technologies like Kafka, RabbitMQ, AWS SQS/SNS, Redis Streams, or similar. • Experience with microservices and asynchronous workflows. • Knowledge of security best practices, including authentication and authorization. • Experience with observability, infrastructure as code (Terraform preferred), and CI/CD automation. • Strong communication skills and a collaborative mindset. • Nice to have • Experience with search technologies (Elasticsearch, OpenSearch) and managing their associated infrastructure. • Experience integrating modern AI and machine learning techniques into production applications. • Willingness to learn and contribute to frontend development (React or React Native) on occasion.
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