Cloud Engineer

Overview

Hybrid | Westlake, TX

Our client is looking for a Cloud Engineer
. They are focused on creating a Brokerage Recordkeeping Platform in a public cloud environment. This initiative is crucial for the company's future success and growth. The goal is to develop capabilities for intraday recordkeeping within a cloud environment in the short to mid-term. This role involves designing, developing, and maintaining modern, highly available, and scalable interfaces for the next-generation platform.

Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $53 - $58 / hr. w2

• Design, develop, and maintain scalable interfaces for the next-generation platform.
• Share technical knowledge to strengthen the engineering community.
• Pursue continuous learning of new technologies and platforms.
• Work on developing and maintaining APIs and backend systems.
• Assist in transitioning systems from mainframe to cloud environments.

Required:

• 8+ years of hands-on software/cloud development and engineering experience.
• 5+ years of experience in complex architectural designs and technology initiatives.
• 5+ years of experience in an agile development environment (Scrum/Kanban).
• 5+ years of experience in Test Driven Development.
• Experience with REST API development using NodeJS and Java.
• Experience with event-driven application design and development using Kafka.
• Database development experience using PL/SQL for Oracle.
• Experience with API Gateway publishing using APIGEE/Stratum.
• Familiarity with production support operations tools like Splunk, Datadog, or Kibana.

• Experience with application development on public cloud platforms such as AWS (Serverless, EKS, Step Functions, Lambda, S3, Dynamo).
• Experience with Dev Ops CI/CD tools like Jenkins, uDeploy, Concourse, and Terraform.
• Data modeling skills and experience implementing data processing pipelines.
• Experience with containerization technology like Docker.
• Background in ETL and understanding of operational data stores.
• Understanding of end-to-end topology, including application, network, and infrastructure components.
• Mainframe experience and COBOL understanding.
• Experience developing/implementing automated test cases using BDD, TDD testing frameworks (JEST, Cucumber, Selenium).
• Financial industry background is a plus.

• Bachelor's degree in Computer Science or Engineering.