Full Stack Cloud Engineer
Fidelity Investments
Location: Merrimack NH -- open to relocation
Must Haves:
-AWS services
-Terraform
-Java/Kubernetes (EKS)
-Kafka
-Cucumber/Jest automation
-brokerage domain (ISIN SEDOL)
Full Stack Cloud Engineer
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.
Full Stack Cloud Engineer Fidelity Investments Location: Merrimack NH -- open to relocation Must Haves: -AWS services -Terraform -Java/Kubernetes (EKS) -Kafka -Cucumber/Jest automation -brokerage domain (ISIN SEDOL) Full Stack Cloud Engineer Role Summary Principal-level engineer responsible fo...
Full Stack Cloud Engineer
Fidelity Investments
Location: Merrimack NH -- open to relocation
Must Haves:
-AWS services
-Terraform
-Java/Kubernetes (EKS)
-Kafka
-Cucumber/Jest automation
-brokerage domain (ISIN SEDOL)
Full Stack Cloud Engineer
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.
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