Job Description

AWS Architect

Location: NYC, NY / Fort Mill, SC

Role Overview:

We are looking for a hands-on, technically strong Resilience, Testability & Scalability Lead to drive engineering excellence across our data platforms and cloud-based applications. This role is critical in ensuring system uptime, test automation maturity, performance under scale, and architectural resilience to meet stringent regulatory and service-level demands.

The ideal candidate will have a deep background in designing highly available systems, implementing robust disaster recovery, managing scalable cloud infrastructure, and building automated, testable, and observable platforms—especially within AWS and Kubernetes environments.

Key Responsibilities:

• Design and implement high availability and failover strategies across multi-zone AWS deployments
• Lead the development and execution of disaster recovery and business continuity plans, including RTO/RPO validation and cross-region strategies
• Define testability strategies, test data management frameworks, and performance testing protocols
• Enable infrastructure and application resilience by introducing circuit breakers, retry patterns, service meshes, and graceful degradation mechanisms
• Establish real-time monitoring, alerting, and log aggregation frameworks using tools like CloudWatch and Prometheus D
• Drive test automation and quality engineering best practices, integrating with CI/CD pipelines
• Optimize application and data layer performance through query tuning, caching, and indexing strategies
• Scale data processing using distributed frameworks like Apache Spark, and implement event-driven stream processing with Kafka
• Collaborate with platform, DevOps, and SRE teams to ensure resource efficiency, cost control, and performance SLAs
• Contribute to regulatory readiness by enforcing security, encryption, and audit logging standards

 Required Skills & Experience:

Infrastructure Resilience & DR:

• Multi-AZ deployments, auto-scaling, load balancing, circuit breakers

• Disaster recovery design: backup/restore, cross-region replication, RTO/RPO

 Monitoring & Observability:

• Experience with CloudWatch, Prometheus, log aggregators

• Set up alerting for incident response, latency, throughput, and error rates

Application Resilience & Security:

• Error handling, service degradation, exponential backoff

• Security best practices: IAM policies, encryption at rest/transit

• Familiarity with FINRA/SIPC compliance standards (preferred)

 Test Automation & Quality:

• Unit testing (e.g., pytest), integration testing, E2E automation

• Test data generation, synthetic data, environment provisioning

• Performance testing using JMeter, Gatling, stress and capacity testing

• Code reviews, static analysis, data validation, anomaly detection

Scalability & Optimization:

• Horizontal scaling using Kubernetes, Docker, service discovery 

• API Gateway, caching layers (Redis, Memcached), DB partitioning

• Connection pooling, capacity planning, cost-aware architecture

 Data & Stream Processing:

•  Spark cluster management, parallel processing, big data optimization

• Kafka-based messaging, windowing, and aggregation for real-time data

 Preferred Qualifications:

• Experience in financial services or regulated environments

• Familiarity with enterprise data and platform modernization initiatives

• AWS or Kubernetes certifications

• Strong communication skills and cross-functional collaboration experience 

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