Cloud Engineer

Role: Full Stack/Cloud Engineer

Location: Merrimack, NH

Apply fast, check the full description by scrolling below to find out the full requirements for this role.

Must Haves:

-AWS services

-Terraform

-Java/Kubernetes (EKS)

-Kafka

-Cucumber/Jest automation

-brokerage domain (ISIN, SEDOL)

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. xywuqvp

Process: Leading code quality initiatives using AI-assisted review tools.