Python Developer

Job Title:

Python Developer

Job :

Job Location:

Mt Laurel, NJ or New York, NY or Toronto, ON or London, ON (2 days/week onsite)

Job Travel Location(s):

Positions: 2

Employment Type:

W2

Duration:
Long term

# of Layers: 0

Work Eligibility:
All Work Authorizations are Permitted – No Visa Transfers

Key Technology:
Python, SDLC, Agile, docker

• Write and test code, debug programs and integrate applications with CI/CD experience.
• Write unit/integration tests, contribute to engineering boards, present and u‑tube and write detailed and good documentation.
• Formulate, design, develop, test, and deliver data technology solutions with a balanced focus on speed and code quality.
• Collaborate with business analysts, product owners, SME’s and project managers to develop user stories, estimates, and work plans.
• Advise business clients and IT management of technology capabilities and recommend strategies to maximize the benefits of new technologies.
• Learn, design, and build modern Data Pipelines/Streams and Data Service APIs to assist with data migration (on‑premises SQL to Google SQL databases).
• Write and use infrastructure as code templates and Terraform.
• Understand product features for DR/BCP options and how it fits in overall application architecture.
• Create design/architecture patterns covering HA and DR/BCP.
• Ensure that all cloud solutions follow internally defined security and compliance controls.
• Implement the enterprise cloud capability and enhance the cloud orchestration platform for automated provisioning, management and scalability of hosts, containers, applications and cloud services.
• Understand security features in Google Cloud.

• 5+ years of Python experience including some with Python 3.x.x and strong understanding of other high level programming languages (ex. JAVA, Go, etc.)
• 3+ years of experience developing platform orchestration code with CI/CD pipeline knowledge. Experience with docker and container orchestration.
• Experience with seamless/automated build scripts used for release management across from development to production.
• Experience working with orchestration and configuration management systems such as Salt Stack, Ansible or Puppet.
• Experience writing scripts to automate operational tasks (e.g. Shell, Ansible, Python).
• Experience with automating (provisioning, configuration management, deployment) and integrating Google Data PaaS solutions and Containers (GKE)
• Ability to troubleshoot Application connectivity/access to Google data products (LB, DNS, basic routing).
• Basic knowledge of cloud automation using native Google CLI

• Experience with managing and working with CI/CD pipelines (automation, infrastructure definition, configuration management, deployment, system and service monitoring, integration, continuous delivery, etc.)