AWS Engineer

** 2 openings - this opening needs to be in Merrimack, NH*

Years of experience - 7-9 Years

• Expert in AWS
• Terraform
• Java Spring Book
• Kafka, SNS, SOS, Kubernetes
• Cucumber/Jest automation
• datadog
• AI Tools (how to work with Co-Pilot)
• Brokerage (specifically security and data)

Principal-level engineer responsible for leading the architecture and delivery of high-volume financial platforms on AWS. This role focuses on building scalable Java Spring Boot APIs, managing high-traffic Kafka streams, and ensuring EKS pod resiliency within a production cloud environment.

• Infrastructure & Deployment:
  Design and deploy production-grade AWS environments using Terraform and IaC best practices.
• API & Backend Development:
  Architect and develop high-performance Java Spring Boot APIs tailored for high-volume transaction processing.
• Data Streaming:
  Optimize Kafka architectures to handle massive data throughput and real-time messaging for brokerage systems. Understanding of SNS, SQS.
• Container Orchestration:
  Manage AWS EKS clusters with a focus on advanced pod resiliency, auto-scaling, and high availability.
• Technical Leadership:
  Act as a hands‑on lead, performing AI-augmented peer reviews and mentoring senior engineering staff.
• Domain Alignment:
  Apply BFSI and brokerage knowledge to manage security data concepts and ensure regulatory compliance.
• Quality & Observability:
  Implement end-to-end testing using Cucumber, JEST, Junit, Mockito while maintaining system health via Datadog and Splunk.

• Cloud & IaC:
  Expert AWS (EKS, Lambda, S3) and Terraform.
• Backend:
  Advanced Java Spring Boot for RESTful API development and backend services. Proficiency in database and SQL.
• Messaging:
  Deep expertise in Kafka, SNS, SQS for high-traffic, distributed environments.
• Kubernetes:
  Mastery of EKS deployment and pod resiliency strategies.
• Domain:
  Experience with BFSI/Brokerage data (CUSIPs, tickers, security data concepts).
• Tools:
  Proficiency in Cucumber, JEST, Datadog, and Splunk.