Cloud Engineer

  • Boston, MA
  • Posted 7 hours ago | Updated 7 hours ago

Overview

On Site
$DOE
Contract - W2
Contract - Long Term

Skills

Python
REST
API
Kubernetes
Nosql
Jenkins
Agile
Scrum
Microservice
Docker
Git
Maven
Apigee
Apache Kafka

Job Details

Title: Cloud Engineer (AWS, Java or Python)

Location: Boston, MA or Jersey City, NJ

Duration: 12+ months

Top three MUST have soft skills and technical skills (experience candidates must have coming in the door):

1) AWS migration (s3, EC2, Cloudfront)

2) Java/Python Artifactory

3) CI/CD- might have to build some from scratch

4) PostgresSQL

**Must be a solid communicator**

Interview Process 1 round with manager (behavioral/technical) 1 round with Sr. Developer

The Role

As a Principal Software Engineer you will work within the Regulatory Reporting Technology team to build and maintain critical brokerage applications for the enterprise. You will be collaborating with the regulatory reporting business team and other brokerage technology teams to develop applications for reporting across multiple assets classes with very high levels of regulatory scrutiny. This role is passionate about hands-on development and delivery, which requires a combination of both good technical skills, and participation in architecture, design and analysis activities!

The Expertise and Skills You Bring

  • A deep understanding of various programming languages
  • Hands-on experience in application deployment automation and pipelines
  • Experience in at least "foundational" development languages (KDB, Java, Python) for 10 or more years is a must
  • Experience with Apache Kafka and other event streaming platforms is a plus
  • Experience driving projects as a team in Agile environments (Kanban and Scrum)
  • Experience with relational and NoSQL databases
  • Experience with DevOps, Continuous Integration and Continuous Delivery (Kubernetes, Maven, Jenkins, Stash, Ansible, Docker)
  • Experience using source control for development in Bitbucket/Stash/Git
  • Experience working with Artifactory and familiarity with API registries (e.g., Apigee)
  • Familiarity with automated deployment in uDeploy
  • Ability to learn new things, new technology, and address problems
Experience with REST microservice architecture
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.