Application Architect

Responsibilities: Architect and Build High-Performance REST APIs: Design scalable, stateless APIs with asynchronous and event-driven patterns to support high-volume, low-latency interactions between diverse network participants.Microservices and Application-to-Application Communication: Design and implement asynchronous, decoupled services communicating through message queues, event buses, or streaming backbones (Kafka, RabbitMQ, or Pulsar).System Design for Scale: Architect for massive concurrency, large payload handling, pagination, and version-safe message passing using Protobuf, Avro, or JSON serialization. Ensure predictable throughput even at hundreds of thousands of RPS.Orchestration and Infrastructure Integration: Deploy and operate services on Kubernetes or ECS, with containerization best practices using Docker. Apply CI/CD automation, observability, and autoscaling strategies.Storage and Caching Architecture: Deep understanding of OLTP databases (PostgreSQL, Aurora, MySQL), distributed caches (Redis, Memcached), and key-value stores (RocksDB, DynamoDB). Ability to select storage strategies for latency, durability, and cost trade-offs.Programming and Scripting Mastery: Hands-on expertise with Go or Rust for compiled microservices and Python for orchestration, cron automation, and glue code. Strong grounding in functional programming and immutability patterns used for event-driven, idempotent systems.Benchmarking and Performance Optimization: Design benchmarking frameworks using Locust, k6 or JMeter to simulate concurrent load. Analyze heap and memory dumps; use profilers to optimize GC, I/O, and CPU utilization.Software Design Patterns and Principles: Build systems that are resilient, observable, and self-scaling.Testing and Validation Frameworks: Establish unit, integration, and black-box test frameworks with automated validation of asynchronous flows, schema conformance, and payload correctness.Versioning and Contract Management: Define strategies for API evolution, backward compatibility, and schema versioning for 50 MB+ payloads. Enforce pagination, partial updates, and modular validation strategies. Requirements: 8+ years of experience designing and delivering distributed, asynchronous systems.Deep expertise in REST, gRPC, message-driven, and event-driven architectures.Proven experience with Go / Rust / Python and microservice deployment on Kubernetes / ECS.Strong hands-on experience with PostgreSQL / Aurora, Redis, DynamoDB, and other low-latency storage systems.Familiar with Locust / k6 / JMeter for benchmarking and Prometheus / Grafana / OpenTelemetry for observability.Strong knowledge of DevOps, CI/CD, Docker, and Terraform / IaC.Excellent understanding of functional, reactive, and concurrent programming. Responsibilities: Architect and Build High-Performance REST APIs: Design scalable, stateless APIs with asynchronous and event-driven patterns to support high-volume, low-latency interactions between diverse network participants.Microservices and Application-to-Application Communication: Design and implement asynchronous, decoupled services communicating through message queues, event buses, or streaming backbones (Kafka, RabbitMQ, or Pulsar).System Design for Scale: Architect for massive concurrency, large payload handling, pagination, and version-safe message passing using Protobuf, Avro, or JSON serialization. Ensure predictable throughput even at hundreds of thousands of RPS.Orchestration and Infrastructure Integration: Deploy and operate services on Kubernetes or ECS, with containerization best practices using Docker. Apply CI/CD automation, observability, and autoscaling strategies.Storage and Caching Architecture: Deep understanding of OLTP databases (PostgreSQL, Aurora, MySQL), distributed caches (Redis, Memcached), and key-value stores (RocksDB, DynamoDB). Ability to select storage strategies for latency, durability, and cost trade-offs.Programming and Scripting Mastery: Hands-on expertise with Go or Rust for compiled microservices and Python for orchestration, cron automation, and glue code. Strong grounding in functional programming and immutability patterns used for event-driven, idempotent systems.Benchmarking and Performance Optimization: Design benchmarking frameworks using Locust, k6 or JMeter to simulate concurrent load. Analyze heap and memory dumps; use profilers to optimize GC, I/O, and CPU utilization.Software Design Patterns and Principles: Build systems that are resilient, observable, and self-scaling.Testing and Validation Frameworks: Establish unit, integration, and black-box test frameworks with automated validation of asynchronous flows, schema conformance, and payload correctness.Versioning and Contract Management: Define strategies for API evolution, backward compatibility, and schema versioning for 50 MB+ payloads. Enforce pagination, partial updates, and modular validation strategies. Requirements: 8+ years of experience designing and delivering di