Full Stack/Cloud Engineer
Role summary
This Principal-level Full Stack/Cloud Engineer role is responsible for the architecture and delivery of high-volume financial platforms on AWS. The engineer will build scalable Java Spring Boot APIs, manage high-traffic Kafka streams, and ensure EKS pod resiliency. Core responsibilities include designing and deploying AWS environments using Terraform and IaC, optimizing Kafka for massive data throughput, managing EKS clusters for high availability, and applying BFSI/brokerage knowledge for regulatory compliance. The role also involves implementing automated testing with Cucumber/Jest and maintaining system health via Datadog/Splunk, acting as a hands-on lead with AI-augmented peer reviews.
Full Stack/Cloud Engineer
Merrimack, NH - Open to relocation candidates
12 Months
USC, GC, GC-EAD only
65-68/hr. on C2C
Must Haves: -AWS services -Terraform -Java/Kubernetes (EKS) -Kafka -Cucumber/Jest automation -brokerage domain (ISIN, SEDOL)
Job Description:
Role Summary
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.
Core Responsibilities
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.
Top Required Skills
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. Process: Leading code quality initiatives using AI-assisted review tools.