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.