Galent · 12 hours ago
Architect
United States
Contract
Remote
Senior LevelGalent is seeking a TypeScript Architect with a strong background in event-driven microservices and cloud-native application design. The ideal candidate will drive the technical architecture for scalable backend systems leveraging TypeScript/Node.js and advanced performance optimization strategies.
Computer Software
Hiring Manager
Naveen Kumar Mugunthan
Responsibilities
Architect scalable backend systems using TypeScript/Node.js and event-driven patterns (Kafka, SNS/SQS, or equivalent)
Design and implement streaming and asynchronous processing pipelines for large-scale workloads
Define and enforce data modeling and partitioning strategies for DynamoDB to handle high-write workloads efficiently
Establish and optimize caching layers (Redis, Elasticache, DAX, or in-memory caching) for high-performance APIs
Perform profiling and performance tuning across the stack (CPU, memory, network, database, I/O)
Define API contracts, message schemas (Avro/JSON), and versioning standards for inter-service communication
Implement observability practices—metrics, tracing, and structured logging—to proactively monitor performance bottlenecks
Collaborate with DevOps to ensure CI/CD pipelines, IaC (CloudFormation/Terraform), and autoscaling policies support architectural goals
Mentor engineering teams on TypeScript best practices, async programming, and microservice resilience patterns(circuit breaker, retry, backoff, etc.)
Partner with stakeholders to evolve system architecture in alignment with business growth and product roadmaps
Qualification
Required
TypeScript Architect with a strong background in event-driven microservices, real-time data pipelines (Kafka), and cloud-native application design
Drive the technical architecture for scalable backend systems leveraging TypeScript/Node.js, DynamoDB, Kafka, and advanced caching and performance optimization strategies
Architect scalable backend systems using TypeScript/Node.js and event-driven patterns (Kafka, SNS/SQS, or equivalent)
Design and implement streaming and asynchronous processing pipelines for large-scale workloads
Define and enforce data modeling and partitioning strategies for DynamoDB to handle high-write workloads efficiently
Establish and optimize caching layers (Redis, Elasticache, DAX, or in-memory caching) for high-performance APIs
Perform profiling and performance tuning across the stack (CPU, memory, network, database, I/O)
Define API contracts, message schemas (Avro/JSON), and versioning standards for inter-service communication
Implement observability practices—metrics, tracing, and structured logging—to proactively monitor performance bottlenecks
Collaborate with DevOps to ensure CI/CD pipelines, IaC (CloudFormation/Terraform), and autoscaling policies support architectural goals
Mentor engineering teams on TypeScript best practices, async programming, and microservice resilience patterns(circuit breaker, retry, backoff, etc.)
Partner with stakeholders to evolve system architecture in alignment with business growth and product roadmaps
Strong expertise in TypeScript & Node.js, including async/await, streams, and worker threads
Kafka architecture & tuning: partitioning, consumer groups, rebalancing, offset management, and schema evolution
AWS DynamoDB: data modeling, secondary indexes, TTL, streams, DAX, and best practices for large-scale design
Caching frameworks: Redis, Memcached, DAX, or CDN edge caching
Performance tuning & scalability: CPU profiling, async I/O optimization, connection pooling, and load testing
API design: REST and GraphQL, including schema federation and gateway design
Monitoring tools: Datadog, Prometheus, CloudWatch, or Splunk
DevOps awareness: CI/CD (GitHub Actions, Jenkins), container orchestration (EKS/Kubernetes), and IaC tools
Company
Galent
Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries.
Founded in 2024
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase